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0000000..72f8e81 --- /dev/null +++ b/3-Data-Visualization/09-visualization-quantities/README.md @@ -0,0 +1,204 @@ +# Visualizing Quantities + +In this lesson, you will use three different libraries to learn how to create interesting visualizations all around the concept of quantity. Using a cleaned dataset about the birds of Minnesota, you can learn many interesting facts about local wildlife. +## Pre-Lecture Quiz + +[Pre-lecture quiz]() + +## Observe wingspan with Matplotlib + +An excellent library to create both simple and sophisticated plots and charts of various kinds is [Matplotlib](https://matplotlib.org/stable/index.html). In general terms, the process of plotting data using these libraries includes identifying the parts of your dataframe that you want to target, performing any transforms on that data necessary, assigning its x and y axis values, deciding what kind of plot to show, and then showing the plot. Matplotlib offers a large variety of visualizations, but for this lesson, let's focus on the ones most appropriate for visualizing quantity: line charts, scatterplots, and bar plots. + +> ✅ Use the best chart to suit your data's structure and the story you want to tell. +> - To analyze trends over time: line +> - To compare values: bar, column, pie, scatterplot +> - To show how parts relate to a whole: pie +> - To show distribution of data: scatterplot, bar +> - To show trends: line, column +> - To show relationships between values: line, scatterplot, bubble + +If you have a dataset and need to discover how much of a given item is included, one of the first tasks you have at hand will be to inspect its values. + +✅ There are very good 'cheat sheets' available for Matplotlib [here](https://github.com/matplotlib/cheatsheets/blob/master/cheatsheets-1.png) and [here](https://github.com/matplotlib/cheatsheets/blob/master/cheatsheets-2.png). + +## Build a line plot about bird wingspan values + +Open the `notebook.ipynb` file at the root of this lesson folder and add a cell. + +> Note: the data is stored in the root of this repo in the `/data` folder. + +```python +import pandas as pd +import matplotlib.pyplot as plt +birds = pd.read_csv('../../data/birds.csv') +birds.head() +``` +This data is a mix of text and numbers: + + +| | Name | ScientificName | Category | Order | Family | Genus | ConservationStatus | MinLength | MaxLength | MinBodyMass | MaxBodyMass | MinWingspan | MaxWingspan | +| ---: | :--------------------------- | :--------------------- | :-------------------- | :----------- | :------- | :---------- | :----------------- | --------: | --------: | ----------: | ----------: | ----------: | ----------: | +| 0 | Black-bellied whistling-duck | Dendrocygna autumnalis | Ducks/Geese/Waterfowl | Anseriformes | Anatidae | Dendrocygna | LC | 47 | 56 | 652 | 1020 | 76 | 94 | +| 1 | Fulvous whistling-duck | Dendrocygna bicolor | Ducks/Geese/Waterfowl | Anseriformes | Anatidae | Dendrocygna | LC | 45 | 53 | 712 | 1050 | 85 | 93 | +| 2 | Snow goose | Anser caerulescens | Ducks/Geese/Waterfowl | Anseriformes | Anatidae | Anser | LC | 64 | 79 | 2050 | 4050 | 135 | 165 | +| 3 | Ross's goose | Anser rossii | Ducks/Geese/Waterfowl | Anseriformes | Anatidae | Anser | LC | 57.3 | 64 | 1066 | 1567 | 113 | 116 | +| 4 | Greater white-fronted goose | Anser albifrons | Ducks/Geese/Waterfowl | Anseriformes | Anatidae | Anser | LC | 64 | 81 | 1930 | 3310 | 130 | 165 | + +Let's start by plotting some of the numeric data using a basic line plot. Suppose you wanted a view of the maximum wingspan for these interesting birds. + +```python +wingspan = birds['MaxWingspan'] +wingspan.plot() +``` +![Max Wingspan](images/max-wingspan.png) + +What do you notice immediately? There seems to be at least one outlier - that's quite a wingspan! A 2300 centimeter wingspan equals 23 meters - are there Pterodactyls roaming Minnesota? Let's investigate. + +While you could do a quick sort in Excel to find those outliers, which are probably typos, continue the visualization process by working from within the plot. + +Add labels to the y-axis to show what kind of birds are in question: + +``` +plt.title('Max Wingspan in Centimeters') +plt.ylabel('Wingspan (CM)') +plt.xlabel('Birds') +plt.xticks(rotation=45) +x = birds['Name'] +y = birds['MaxWingspan'] + +plt.plot(x, y) + +plt.show() +``` +![wingspan with labels](images/max-wingspan-labels.png) + +Even with the rotation of the labels set to 45 degrees, there are too many to read. Let's try a different strategy: label only those outliers and set the labels within the chart. You can use a scatter chart to make more room for the labeling: + +```python +plt.title('Max Wingspan in Centimeters') +plt.ylabel('Wingspan (CM)') +plt.tick_params(axis='both',which='both',labelbottom=False,bottom=False) + +for i in range(len(birds)): + x = birds['Name'][i] + y = birds['MaxWingspan'][i] + plt.plot(x, y, 'bo') + if birds['MaxWingspan'][i] > 500: + plt.text(x, y * (1 - 0.05), birds['Name'][i], fontsize=12) + +plt.show() +``` +What's going on here? You used `tick_params` to hide the bottom labels and then created a loop over your birds dataset. Plotting the chart with small round blue dots by using `bo`, you checked for any bird with a maximum wingspan over 500 and displayed their label next to the dot if so. You offset the labels a little on the y axis (`y * (1 - 0.05)`) and used the bird name as a label. + +What did you discover? + +![outliers](images/labeled-wingspan.png) +## Filter your data + +Both the Bald Eagle and the Prairie Falcon, while probably very large birds, appear to be mislabeled, with an extra `0` added to their maximum wingspan. It's unlikely that you'll meet a Bald Eagle with a 25 meter wingspan, but if so, please let us know! Let's create a new dataframe without those two outliers: + +```python +plt.title('Max Wingspan in Centimeters') +plt.ylabel('Wingspan (CM)') +plt.xlabel('Birds') +plt.tick_params(axis='both',which='both',labelbottom=False,bottom=False) +for i in range(len(birds)): + x = birds['Name'][i] + y = birds['MaxWingspan'][i] + if birds['Name'][i] not in ['Bald eagle', 'Prairie falcon']: + plt.plot(x, y, 'bo') +plt.show() +``` + +By filtering out outliers, your data is now more cohesive and understandable. + +![scatterplot of wingspans](images/scatterplot-wingspan.png) + +Now that we have a cleaner dataset at least in terms of wingspan, let's discover more about these birds. + +While line and scatter plots can display information about data values and their distributions, we want to think about the values inherent in this dataset. You could create visualizations to answer this following questions about quantity: + +> How many categories of birds are there, and what are their numbers? +> How many birds are extinct, endangered, rare, or common? +> How many are there of the various genus and orders in Linnaeus's terminology? +## Explore bar charts + +Bar charts are very useful when you need to show groupings of data. Let's explore the categories of birds that exist in this dataset to see which is the most common by number. + +In the notebook file, create a basic bar chart + +✅ Note, you can either filter out the two outlier birds we identified in the previous section, edit the typo in their wingspan, or leave them in for these exercises which do not depend on wingspan values. + +If you want to create a bar chart, you can select the data you want to focus on. Bar charts can be created from raw data: + +```python +birds.plot(x='Category', + kind='bar', + stacked=True, + title='Birds of Minnesota') + +``` +![full data as a bar chart](images/full-data-bar.png) + +This bar chart, however, is unreadable because there is too much non-grouped data. You need to select only the data that you want to chart, so let's look at the length of birds based on their category. + +Filter your data to include only the bird's category. + +✅ Notice that you use Pandas to manage the data, and then let Matplotlib do the charting. + +Since there are many categories, you can display this chart vertically and tweak its height to account for all the data: + +```python +category_count = birds.value_counts(birds['Category'].values, sort=True) +plt.rcParams['figure.figsize'] = [6, 12] +category_count.plot.barh() +``` +![category and length](images/category-counts.png) + +This bar chart shows a good view of the amount of birds in each category. In a blink of an eye, you see that the largest number of birds in this region are in the Ducks/Geese/Waterfowl category. Minnesota is the 'land of 10,000 lakes' so this isn't surprising! + +✅ Try some other counts on this dataset. Does anything surprise you? + +## Comparing data + +You can try different comparisons of grouped data by creating new axes. Try a comparison of the MaxLength of a bird, based on its category: + +```python +maxlength = birds['MaxLength'] +plt.barh(y=birds['Category'], width=maxlength) +plt.rcParams['figure.figsize'] = [6, 12] +plt.show() +``` +![comparing data](images/category-length.png) + +Nothing is surprising here: hummingbirds have the least MaxLength compared to Pelicans or Geese. It's good when data makes logical sense! + +You can create more interesting visualizations of bar charts by superimposing data. Let's superimpose Minimum and Maximum Length on a given bird category: + +```python +minLength = birds['MinLength'] +maxLength = birds['MaxLength'] +category = birds['Category'] + +plt.barh(category, maxLength) +plt.barh(category, minLength) + +plt.show() +``` +In this plot you can see the range, per category, of the Minimum Length and Maximum length of a given bird category. You can safely say that, given this data, the bigger the bird, the larger its length range. Fascinating! + +![superimposed values](images/superimposed.png) + +## 🚀 Challenge + +This bird dataset offers a wealth of information about different types of birds within a particular ecosystem. Search around the internet and see if you can find other bird-oriented datasets. Practice building charts and graphs around these birds to discover facts you didn't realize. +## Post-Lecture Quiz + +[Post-lecture quiz]() + +## Review & Self Study + +This first lesson has given you some information about how to use Matplotlib to visualize quantities. Do some research around other ways to work with datasets for visualization. [Plotly](https://github.com/plotly/plotly.py) is one that we won't cover in these lessons, so take a look at what it can offer. +## Assignment + +[Lines, Scatters, and Bars](assignment.md) diff --git a/3-Data-Visualization/09-visualization-quantities/assignment.md b/3-Data-Visualization/09-visualization-quantities/assignment.md new file mode 100644 index 0000000..6caa81f --- /dev/null +++ b/3-Data-Visualization/09-visualization-quantities/assignment.md @@ -0,0 +1,11 @@ +# Lines, Scatters and Bars + +## Instructions + +In this lesson, you worked with line charts, scatterplots, and bar charts to show interesting facts about this dataset. In this assignment, dig deeper into the dataset to discover a fact about a given type of bird. For example, create a notebook visualizing all the interesting data you can uncover about Snow Geese. 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"metadata": { + "orig_nbformat": 4, + "language_info": { + "name": "python", + "version": "3.7.0", + "mimetype": "text/x-python", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "pygments_lexer": "ipython3", + "nbconvert_exporter": "python", + "file_extension": ".py" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3.7.0 64-bit" + }, + "interpreter": { + "hash": "70b38d7a306a849643e446cd70466270a13445e5987dfa1344ef2b127438fa4d" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} \ No newline at end of file diff --git a/3-Data-Visualization/09-visualization-quantities/solution/notebook.ipynb b/3-Data-Visualization/09-visualization-quantities/solution/notebook.ipynb new file mode 100644 index 0000000..03d3a06 --- /dev/null +++ b/3-Data-Visualization/09-visualization-quantities/solution/notebook.ipynb @@ -0,0 +1,560 @@ +{ + "metadata": { + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + }, + "orig_nbformat": 4, + "kernelspec": { + "name": "python3", + "display_name": "Python 3.7.0 64-bit" + }, + "interpreter": { + "hash": "70b38d7a306a849643e446cd70466270a13445e5987dfa1344ef2b127438fa4d" + } + }, + "nbformat": 4, + "nbformat_minor": 2, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Let's learn about birds" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Import pandas and matplotlib along with the data" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 2, + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "birds = pd.read_csv('../../../data/birds.csv')\n", + "birds.head()\n" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Name ScientificName \\\n", + "0 Black-bellied whistling-duck Dendrocygna autumnalis \n", + "1 Fulvous whistling-duck Dendrocygna bicolor \n", + "2 Snow goose Anser caerulescens \n", + "3 Ross's goose Anser rossii \n", + "4 Greater white-fronted goose Anser albifrons \n", + "\n", + " Category Order Family Genus \\\n", + "0 Ducks/Geese/Waterfowl Anseriformes Anatidae Dendrocygna \n", + "1 Ducks/Geese/Waterfowl Anseriformes Anatidae Dendrocygna \n", + "2 Ducks/Geese/Waterfowl Anseriformes Anatidae Anser \n", + "3 Ducks/Geese/Waterfowl Anseriformes Anatidae Anser \n", + "4 Ducks/Geese/Waterfowl Anseriformes Anatidae Anser \n", + "\n", + " ConservationStatus MinLength MaxLength MinBodyMass MaxBodyMass \\\n", + "0 LC 47.0 56.0 652.0 1020.0 \n", + "1 LC 45.0 53.0 712.0 1050.0 \n", + "2 LC 64.0 79.0 2050.0 4050.0 \n", + "3 LC 57.3 64.0 1066.0 1567.0 \n", + "4 LC 64.0 81.0 1930.0 3310.0 \n", + "\n", + " MinWingspan MaxWingspan \n", + "0 76.0 94.0 \n", + "1 85.0 93.0 \n", + "2 135.0 165.0 \n", + "3 113.0 116.0 \n", + "4 130.0 165.0 " + ], + "text/html": [ + "

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NameScientificNameCategoryOrderFamilyGenusConservationStatusMinLengthMaxLengthMinBodyMassMaxBodyMassMinWingspanMaxWingspan
0Black-bellied whistling-duckDendrocygna autumnalisDucks/Geese/WaterfowlAnseriformesAnatidaeDendrocygnaLC47.056.0652.01020.076.094.0
1Fulvous whistling-duckDendrocygna bicolorDucks/Geese/WaterfowlAnseriformesAnatidaeDendrocygnaLC45.053.0712.01050.085.093.0
2Snow gooseAnser caerulescensDucks/Geese/WaterfowlAnseriformesAnatidaeAnserLC64.079.02050.04050.0135.0165.0
3Ross's gooseAnser rossiiDucks/Geese/WaterfowlAnseriformesAnatidaeAnserLC57.364.01066.01567.0113.0116.0
4Greater white-fronted gooseAnser albifronsDucks/Geese/WaterfowlAnseriformesAnatidaeAnserLC64.081.01930.03310.0130.0165.0
\n", + "
" + ] + }, + "metadata": {}, + "execution_count": 2 + } + ], + "metadata": { + "tags": [] + } + }, + { + "cell_type": "markdown", + "source": [ + "Let's visualize these birds' wingspan by showing a very basic line plot" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 19, + "source": [ + "\n", + "plt.title('Max Wingspan in Centimeters')\n", + "plt.ylabel('Wingspan (CM)')\n", + "plt.xlabel('Birds')\n", + "wingspan = birds.MaxWingspan \n", + "wingspan.plot()\n" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 19 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Show the birds' names correlated to their wingspan" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 20, + "source": [ + "\n", + "plt.title('Max Wingspan in Centimeters')\n", + "plt.ylabel('Wingspan (CM)')\n", + "plt.xlabel('Birds')\n", + "plt.xticks(rotation=45)\n", + "x = birds['Name'] \n", + "y = birds['MaxWingspan']\n", + "\n", + "plt.plot(x, y)\n", + "\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:1402: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " x[:, None]\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/axes/_base.py:276: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " x = x[:, np.newaxis]\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/axes/_base.py:278: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " y = y[:, np.newaxis]\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Label the birds whose wingspan is particularly large and are probably outliers" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 21, + "source": [ + "plt.title('Max Wingspan in Centimeters')\n", + "plt.ylabel('Wingspan (CM)')\n", + "plt.tick_params(axis='both',which='both',labelbottom=False,bottom=False)\n", + "\n", + "for i in range(len(birds)):\n", + " x = birds['Name'][i]\n", + " y = birds['MaxWingspan'][i]\n", + " plt.plot(x, y, 'bo')\n", + " if birds['MaxWingspan'][i] > 500:\n", + " plt.text(x, y * (1 - 0.05), birds['Name'][i], fontsize=12)\n", + " \n", + "plt.show()\n", + " \n", + "\n", + " \n" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Remove those outliers and redraw the wingspan" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 22, + "source": [ + "plt.title('Max Wingspan in Centimeters')\n", + "plt.ylabel('Wingspan (CM)')\n", + "plt.xlabel('Birds')\n", + "plt.tick_params(axis='both',which='both',labelbottom=False,bottom=False)\n", + "for i in range(len(birds)):\n", + " x = birds['Name'][i]\n", + " y = birds['MaxWingspan'][i]\n", + " if birds['Name'][i] not in ['Bald eagle', 'Prairie falcon']:\n", + " plt.plot(x, y, 'bo')\n", + "plt.show()\n", + " " + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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" 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Show the count of birds within categories, and show the labels horizontally so we can read the category names" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 42, + "source": [ + "category_count = birds.value_counts(birds['Category'].values, sort=True)\n", + "plt.rcParams['figure.figsize'] = [6, 12]\n", + "category_count.plot.barh()" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 42 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Show the categories with their maxlength displayed per category" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 43, + "source": [ + "maxlength = birds['MaxLength']\n", + "plt.barh(y=birds['Category'], width=maxlength)\n", + "plt.rcParams['figure.figsize'] = [6, 12]\n", + "plt.show()\n" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Superimpose the birds minimum and maximum lengths per category" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 77, + "source": [ + "minLength = birds['MinLength']\n", + "maxLength = birds['MaxLength']\n", + "category = birds['Category']\n", + "\n", + "plt.barh(category, maxLength)\n", + "plt.barh(category, minLength)\n", + "\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": null, + "source": [], + "outputs": [], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/3-Data-Visualization/09-visualization-quantities/translations/README.es.md b/3-Data-Visualization/09-visualization-quantities/translations/README.es.md new file mode 100644 index 0000000..e69de29 diff --git a/3-Data-Visualization/10-visualization-distributions/README.md b/3-Data-Visualization/10-visualization-distributions/README.md new file mode 100644 index 0000000..2dacdb9 --- /dev/null +++ b/3-Data-Visualization/10-visualization-distributions/README.md @@ -0,0 +1,191 @@ +# Visualizing Distributions + +In the previous lesson, you learned some interesting facts about a dataset about the birds of Minnesota. You found some erroneous data by visualizing outliers and looked at the differences between bird categories by their maximum length. +## Pre-Lecture Quiz + +[Pre-lecture quiz]() +## Explore the birds dataset + +Another way to dig into data is by looking at its distribution, or how the data is organized along an axis. Perhaps, for example, you'd like to learn about the general distribution, for this dataset, of maximum wingspan or maximum body mass for the birds of Minnesota. + +Let's discover some facts about the distributions of data in this dataset. In the _notebook.ipynb_ file at the root of this lesson folder, import Pandas, Matplotlib, and your data: + +```python +import pandas as pd +import matplotlib.pyplot as plt +birds = pd.read_csv('../../data/birds.csv') +birds.head() +``` + +In general, you can quickly look at the way data is distributed by using a scatter plot as we did in the previous lesson: + +```python +birds.plot(kind='scatter',x='MaxLength',y='Order',figsize=(12,8)) + +plt.title('Max Length per Order') +plt.ylabel('Order') +plt.xlabel('Max Length') + +plt.show() +``` +This gives an overview of the general distribution of body length per bird Order, but it is not the optimal way to display true distributions. That task is usually handled by creating a Histogram. +## Working with histograms + +Matplotlib offers very good ways to visualize data distribution using Histograms. This type of chart is like a bar chart where the distribution can be seen via a rise and fall of the bars. To build a histogram, you need numeric data.To build a Histogram, you can plot a chart defining the kind as 'hist' for Histogram. This chart show the distribution of MaxBodyMass for the entire dataset's range of numeric data. By dividing the array of data it is given into smaller bins, it can display the distribution of the data's values: + +```python +birds['MaxBodyMass'].plot(kind = 'hist', bins = 10, figsize = (12,12)) +plt.show() +``` +![distribution over the entire dataset](images/dist1.png) + +As you can see, most of the 400+ birds in this dataset fall in the range of under 2000 for their Max Body Mass. Gain more insight on the data by changing the `bins` parameter to a higher number, something like 30: + +```python +birds['MaxBodyMass'].plot(kind = 'hist', bins = 30, figsize = (12,12)) +plt.show() +``` +![distribution over the entire dataset with larger bins param](images/dist2.png) + +This chart shows the distribution in a bit more granular fashion. A chart less skewed to the left could be created by ensuring that you only select data within a given range: + +Filter your data to get only those birds whose body mass is under 60, and show 40 `bins`: + +```python +filteredBirds = birds[(birds['MaxBodyMass'] > 1) & (birds['MaxBodyMass'] < 60)] +filteredBirds['MaxBodyMass'].plot(kind = 'hist',bins = 40,figsize = (12,12)) +plt.show() +``` +![filtered histogram](images/dist3.png) + +✅ Try some other filters and data points. To see the full distribution of the data, remove the `['MaxBodyMass']` filter to show labeled distributions. + +The histogram offers some nice color and labeling enhancements to try as well: + +Create a 2D histogram to compare the relationship between two distributions. Let's compare `MaxBodyMass` vs. `MaxLength`. Matplotlib offers a built-in way to show convergence using brighter colors: + +```python +x = filteredBirds['MaxBodyMass'] +y = filteredBirds['MaxLength'] + +fig, ax = plt.subplots(tight_layout=True) +hist = ax.hist2d(x, y) +``` +There appears to be an expected correlation between these two elements along an expected axis, with one particularly strong point of convergence: + +![2D plot](images/2D.png) + +Histograms work well by default for numeric data. What if you need to see distributions according to text data? +## Explore the dataset for distributions using text data + +This dataset also includes good information about the bird category and its genus, species and family as well as its conservation status. Let's dig into this conservation information. What is the distribution of the birds according to their conservation status? + +> ✅ In the dataset, several acronyms are used to describe conservation status. These acronyms come from the [IUCN Red List Categories](https://www.iucnredlist.org/), an organization that catalogue species status. +> +> - CR: Critically Endangered +> - EN: Endangered +> - EX: Extinct +> - LC: Least Concern +> - NT: Near Threatened +> - VU: Vulnerable + +These are text-based values so you will need to do a transform to create a histogram. Using the filteredBirds dataframe, display its conservation status alongside its Minimum Wingspan. What do you see? + +```python +x1 = filteredBirds.loc[filteredBirds.ConservationStatus=='EX', 'MinWingspan'] +x2 = filteredBirds.loc[filteredBirds.ConservationStatus=='CR', 'MinWingspan'] +x3 = filteredBirds.loc[filteredBirds.ConservationStatus=='EN', 'MinWingspan'] +x4 = filteredBirds.loc[filteredBirds.ConservationStatus=='NT', 'MinWingspan'] +x5 = filteredBirds.loc[filteredBirds.ConservationStatus=='VU', 'MinWingspan'] +x6 = filteredBirds.loc[filteredBirds.ConservationStatus=='LC', 'MinWingspan'] + +kwargs = dict(alpha=0.5, bins=20) + +plt.hist(x1, **kwargs, color='red', label='Extinct') +plt.hist(x2, **kwargs, color='orange', label='Critically Endangered') +plt.hist(x3, **kwargs, color='yellow', label='Endangered') +plt.hist(x4, **kwargs, color='green', label='Near Threatened') +plt.hist(x5, **kwargs, color='blue', label='Vulnerable') +plt.hist(x6, **kwargs, color='gray', label='Least Concern') + +plt.gca().set(title='Conservation Status', ylabel='Max Body Mass') +plt.legend(); +``` + +![wingspan and conservation collation](images/histogram-conservation.png) + +There doesn't seem to be a good correlation between minimum wingspan and conservation status. Test other elements of the dataset using this method. You can try different filters as well. Do you find any correlation? + +## Density plots + +You may have noticed that the histograms we have looked at so far are 'stepped' and do not flow smoothy in an arc. To show a smoother density chart, you can try a density plot. + +To work with density plots, familiarize yourself with a new plotting library, [Seaborn](https://seaborn.pydata.org/generated/seaborn.kdeplot.html). + +Loading Seaborn, try a basic density plot: + +```python +import seaborn as sns +import matplotlib.pyplot as plt +sns.kdeplot(filteredBirds['MinWingspan']) +plt.show() +``` +![Density plot](images/density1.png) + +You can see how the plot echoes the previous one for Minimum Wingspan data; it's just a bit smoother. According to Seaborn's documentation, "Relative to a histogram, KDE can produce a plot that is less cluttered and more interpretable, especially when drawing multiple distributions. But it has the potential to introduce distortions if the underlying distribution is bounded or not smooth. Like a histogram, the quality of the representation also depends on the selection of good smoothing parameters." [source](https://seaborn.pydata.org/generated/seaborn.kdeplot.html) In other words, outliers as always will make your charts behave badly. + +If you wanted to revisit that jagged MaxBodyMass line in the second chart you built, you could smooth it out very well by recreating it using this method: + +```python +sns.kdeplot(filteredBirds['MaxBodyMass']) +plt.show() +``` +![smooth bodymass line](images/density2.png) + +If you wanted a smooth, but not too smooth line, edit the `bw_adjust` parameter + +```python +sns.kdeplot(filteredBirds['MaxBodyMass'], bw_adjust=.2) +plt.show() +``` +![less smooth bodymass line](images/density3.png) + +✅ Read about the parameters available for this type of plot and experiment! + +This type of chart offers beautifully explanatory visualizations. With a few lines of code, for example, you can show the max body mass density per bird Order: + +```python +sns.kdeplot( + data=filteredBirds, x="MaxBodyMass", hue="Order", + fill=True, common_norm=False, palette="crest", + alpha=.5, linewidth=0, +) +``` + +![bodymass per order](images/density4.png) + +You can also map the density of several variables in one chart. Text the MaxLength and MinLength of a bird compared to their conservation status: + +```python +sns.kdeplot(data=filteredBirds, x="MinLength", y="MaxLength", hue="ConservationStatus") +``` + +![multiple densities, superimposed](images/multi.png) + +Perhaps it's worth researching whether the cluster of 'Vulnerable' birds according to their lengths is meaningful or not. + +## 🚀 Challenge + +Histograms are a more sophisticated type of chart than basic scatterplots, bar charts, or line charts. Go on a search on the internet to find good examples of the use of histograms. How are they used, what do they demonstrate, and in what fields or areas of inquiry do they tend to be used? + +## Post-Lecture Quiz + +[Post-lecture quiz]() + +## Review & Self Study + +In this lesson, you used Matplotlib and started working with Seaborn to show more sophisticated charts. Do some research on `kdeplot` in Seaborn, a "continuous probability density curve in one or more dimensions". Read through [the documentation](https://seaborn.pydata.org/generated/seaborn.kdeplot.html) to understand how it works. + +## Assignment + +[Apply your skills](assignment.md) diff --git a/3-Data-Visualization/10-visualization-distributions/assignment.md b/3-Data-Visualization/10-visualization-distributions/assignment.md new file mode 100644 index 0000000..e3e9301 --- /dev/null +++ b/3-Data-Visualization/10-visualization-distributions/assignment.md @@ -0,0 +1,10 @@ +# Apply your skills + +## Instructions + +So far, you have worked with the Minnesota birds dataset to discover information about bird quantities and population density. Practice your application of these techniques by trying a different dataset, perhaps sourced from [Kaggle]. 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mode 100644 index 0000000..a954378 --- /dev/null +++ b/3-Data-Visualization/10-visualization-distributions/solution/notebook.ipynb @@ -0,0 +1,558 @@ +{ + "metadata": { + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + }, + "orig_nbformat": 4, + "kernelspec": { + "name": "python3", + "display_name": "Python 3.7.0 64-bit" + }, + "interpreter": { + "hash": "70b38d7a306a849643e446cd70466270a13445e5987dfa1344ef2b127438fa4d" + } + }, + "nbformat": 4, + "nbformat_minor": 2, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Bird distributions" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Visualize the dataset" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 3, + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "birds = pd.read_csv('../../../data/birds.csv')\n", + "birds.head()" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Name ScientificName \\\n", + "0 Black-bellied whistling-duck Dendrocygna autumnalis \n", + "1 Fulvous whistling-duck Dendrocygna bicolor \n", + "2 Snow goose Anser caerulescens \n", + "3 Ross's goose Anser rossii \n", + "4 Greater white-fronted goose Anser albifrons \n", + "\n", + " Category Order Family Genus \\\n", + "0 Ducks/Geese/Waterfowl Anseriformes Anatidae Dendrocygna \n", + "1 Ducks/Geese/Waterfowl Anseriformes Anatidae Dendrocygna \n", + "2 Ducks/Geese/Waterfowl Anseriformes Anatidae Anser \n", + "3 Ducks/Geese/Waterfowl Anseriformes Anatidae Anser \n", + "4 Ducks/Geese/Waterfowl Anseriformes Anatidae Anser \n", + "\n", + " ConservationStatus MinLength MaxLength MinBodyMass MaxBodyMass \\\n", + "0 LC 47.0 56.0 652.0 1020.0 \n", + "1 LC 45.0 53.0 712.0 1050.0 \n", + "2 LC 64.0 79.0 2050.0 4050.0 \n", + "3 LC 57.3 64.0 1066.0 1567.0 \n", + "4 LC 64.0 81.0 1930.0 3310.0 \n", + "\n", + " MinWingspan MaxWingspan \n", + "0 76.0 94.0 \n", + "1 85.0 93.0 \n", + "2 135.0 165.0 \n", + "3 113.0 116.0 \n", + "4 130.0 165.0 " + ], + "text/html": [ + "

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NameScientificNameCategoryOrderFamilyGenusConservationStatusMinLengthMaxLengthMinBodyMassMaxBodyMassMinWingspanMaxWingspan
0Black-bellied whistling-duckDendrocygna autumnalisDucks/Geese/WaterfowlAnseriformesAnatidaeDendrocygnaLC47.056.0652.01020.076.094.0
1Fulvous whistling-duckDendrocygna bicolorDucks/Geese/WaterfowlAnseriformesAnatidaeDendrocygnaLC45.053.0712.01050.085.093.0
2Snow gooseAnser caerulescensDucks/Geese/WaterfowlAnseriformesAnatidaeAnserLC64.079.02050.04050.0135.0165.0
3Ross's gooseAnser rossiiDucks/Geese/WaterfowlAnseriformesAnatidaeAnserLC57.364.01066.01567.0113.0116.0
4Greater white-fronted gooseAnser albifronsDucks/Geese/WaterfowlAnseriformesAnatidaeAnserLC64.081.01930.03310.0130.0165.0
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" + ] + }, + "metadata": {}, + "execution_count": 3 + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Show a histogram of the MaxBodyMass data" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 4, + "source": [ + "birds['MaxBodyMass'].plot(kind = 'hist',bins = 10,figsize = (12,12))\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Experiment with bins " + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 5, + "source": [ + "birds['MaxBodyMass'].plot(kind = 'hist',bins = 30,figsize = (12,12))\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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zbPTdPJ5fVb+f5NuWoad395+tbloAALD9bfQ2jyS5f5Lbu/tXktxcVWevaE4AALAjbCimq+rnkvxUkucsQ/dK8r9WNSkAANgJNnpl+nuSPCnJ3yZJd/9VkgeualIAALATbDSmv9DdnaSTpKoesLopAQDAzrDRmL6iqn4jyclV9SNJ3prkpaubFgAAbH8bfTePX6yqxyS5PcnDkvxsd1+10pkBAMA2d48xXVUnJXlrd39HEgENAACLe7zNo7vvTPLFqnrQMZgPAADsGBv9BMS/SfK+qroqyzt6JEl3/8eVzAoAAHaAjcb0G5YHAACwuNuYrqp/3N1/2d2XH6sJAQDATnFP90z/7sGFqnr9iucCAAA7yj3FdK1bfsgqJwIAADvNPcV0H2YZAABOePf0AsRvrKrbs3aF+n7Lcpb17u5/tNLZAQDANna3Md3dJx2riQAAwE5zjx/aMlVVL6+q26rqunVjz6uqW6rqPcvjCeu2Paeq9lfVB6vqcauaFwAAbJaVxXSS30ry+EOMv6i7z1seb0mSqjo3yUVJvmH5nl9bPsYcAAC2rZXFdHf/SZJPbnD3C5O8prs/390fTrI/ySNWNTcAANgMq7wyfTjPqqprl9tATlnGzkjy0XX73LyMAQDAtnWsY/olSR6a5Lwktyb5pSN9gqq6pKr2VdW+AwcObPb8AABgw45pTHf3x7v7zu7+YpKX5su3ctyS5Kx1u565jB3qOS7r7r3dvXf37t2rnTAAANyNYxrTVXX6utXvSXLwnT6uTHJRVd2nqs5Ock6Sq4/l3AAA4Ejd04e2jFXVq5N8e5JTq+rmJD+X5Nur6rysfZriTUl+NEm6+/1VdUWS65PckeSZ3X3nquYGAACbYWUx3d3fd4jhl93N/s9P8vxVzQcAADbbVrybBwAAHBfENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGVhbTVfXyqrqtqq5bN/bgqrqqqm5cvp6yjFdVvbiq9lfVtVV1/qrmBQAAm2WVV6Z/K8nj7zJ2aZK3dfc5Sd62rCfJdyY5Z3lckuQlK5wXAABsipXFdHf/SZJP3mX4wiSXL8uXJ3nyuvFX9Jp3JDm5qk5f1dwAAGAzHOt7pk/r7luX5Y8lOW1ZPiPJR9ftd/My9g9U1SVVta+q9h04cGB1MwUAgHuwZS9A7O5O0oPvu6y793b33t27d69gZgAAsDHHOqY/fvD2jeXrbcv4LUnOWrffmcsYAABsW8c6pq9McvGyfHGSN60bf9ryrh4XJPnMuttBAABgW9q1qieuqlcn+fYkp1bVzUl+LskLklxRVc9I8pEkT112f0uSJyTZn+RzSZ6+qnkBAMBmWVlMd/f3HWbTow+xbyd55qrmAgAAq+ATEAEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBo11b8Q6vqpiSfTXJnkju6e29VPTjJa5PsSXJTkqd296e2Yn4AALARW3ll+ju6+7zu3rusX5rkbd19TpK3LesAALBtbafbPC5McvmyfHmSJ2/hXAAA4B5tVUx3kj+sqmuq6pJl7LTuvnVZ/liS0w71jVV1SVXtq6p9Bw4cOBZzBQCAQ9qSe6aTfGt331JVX53kqqr6wPqN3d1V1Yf6xu6+LMllSbJ3795D7gMAAMfCllyZ7u5blq+3JXljkkck+XhVnZ4ky9fbtmJuAACwUcc8pqvqAVX1wIPLSR6b5LokVya5eNnt4iRvOtZzAwCAI7EVt3mcluSNVXXwn//b3f1/qupdSa6oqmck+UiSp27B3AAAYMOOeUx394eSfOMhxj+R5NHHej4AADC1nd4aDwAAdhQxDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDx/zjxDm0PZe+eVOf76YXPHFTnw8AgH/IlWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAM7drqCbAaey5986Y/500veOKmPycAwE7myjQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADIlpAAAYEtMAADAkpgEAYEhMAwDAkJgGAIAhMQ0AAENiGgAAhsQ0AAAMiWkAABgS0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAzt2uoJsHPsufTNm/p8N73giZv6fAAAx5or0wAAMCSmAQBgSEwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGPKhLWwZHwIDAOx0rkwDAMCQmAYAgCExDQAAQ2IaAACGxDQAAAyJaQAAGBLTAAAwJKYBAGBITAMAwJBPQOS4sdmfqLgKPqURAI4vrkwDAMCQmAYAgCExDQAAQ+6ZBthEq7h33732ANuXK9MAADAkpgEAYEhMAwDAkHumAQBIsvmv+zgRXvOx7a5MV9Xjq+qDVbW/qi7d6vkAAMDhbKsr01V1UpJfTfKYJDcneVdVXdnd12/tzGBz7IRPadzuToSrHKu2E6487YQ5bqad8C4wJ9q/EzbHiXDebLcr049Isr+7P9TdX0jymiQXbvGcAADgkKq7t3oOX1JVT0ny+O7+4WX9B5L8y+5+1rp9LklyybL6sCQfPOYTXXNqkr/eon/28cox3XyO6eZzTDefY7r5HNPN55iuxk46rl/X3bvvOritbvPYiO6+LMllWz2PqtrX3Xu3eh7HE8d08zmmm88x3XyO6eZzTDefY7oax8Nx3W63edyS5Kx162cuYwAAsO1st5h+V5Jzqursqrp3kouSXLnFcwIAgEPaVrd5dPcdVfWsJH+Q5KQkL+/u92/xtA5ny281OQ45ppvPMd18junmc0w3n2O6+RzT1djxx3VbvQARAAB2ku12mwcAAOwYYhoAAIbE9BHycecbV1VnVdXbq+r6qnp/Vf34Mv7gqrqqqm5cvp6yjFdVvXg5ttdW1fnrnuviZf8bq+rirfqZtouqOqmq/qyqfm9ZP7uq3rkcu9cuL+BNVd1nWd+/bN+z7jmes4x/sKoetzU/yfZQVSdX1euq6gNVdUNVfYvz9OhU1X9a/ru/rqpeXVX3dZ4euap6eVXdVlXXrRvbtHOzqr6pqt63fM+Lq6qO7U947B3mmP635b//a6vqjVV18rpthzwHD9cDhzvPj2eHOqbrtv1kVXVVnbqsH3/naXd7bPCRtRdF/kWShyS5d5L3Jjl3q+e1XR9JTk9y/rL8wCR/nuTcJP81yaXL+KVJfmFZfkKS309SSS5I8s5l/MFJPrR8PWVZPmWrf74tPrY/keS3k/zesn5FkouW5V9P8h+W5R9L8uvL8kVJXrssn7ucv/dJcvZyXp+01T/XFh7Py5P88LJ87yQnO0+P6niekeTDSe63rF+R5Aedp6Nj+a+SnJ/kunVjm3ZuJrl62beW7/3Orf6Zt+iYPjbJrmX5F9Yd00Oeg7mbHjjceX48Pw51TJfxs7L2phIfSXLq8XqeujJ9ZHzc+RHo7lu7+93L8meT3JC1v2QvzFq8ZPn65GX5wiSv6DXvSHJyVZ2e5HFJruruT3b3p5JcleTxx/BH2Vaq6swkT0zym8t6JXlUktctu9z1mB481q9L8uhl/wuTvKa7P9/dH06yP2vn9wmnqh6Utb8IXpYk3f2F7v50nKdHa1eS+1XVriT3T3JrnKdHrLv/JMkn7zK8Kefmsu0fdfc7eq1YXrHuuY5bhzqm3f2H3X3HsvqOrH3ORXL4c/CQPXAPfx4ftw5znibJi5L85yTr3+3iuDtPxfSROSPJR9et37yMcQ+WX9s+PMk7k5zW3bcumz6W5LRl+XDH13H///1y1v5w+uKy/lVJPr3uL4L1x+dLx27Z/pllf8f0y85OciDJ/6y1W2d+s6oeEOfpWHffkuQXk/xl1iL6M0muifN0s2zWuXnGsnzX8RPdD2Xt6mdy5Mf07v48PqFU1YVJbunu995l03F3noppVq6qvjLJ65M8u7tvX79t+b9M78+4QVX1XUlu6+5rtnoux5FdWfv15Eu6++FJ/jZrvzr/EufpkVnu4b0wa/+j8rVJHpAT+yr9yjg3N1dV/XSSO5K8aqvnspNV1f2TPDfJz271XI4FMX1kfNz5Eaqqe2UtpF/V3W9Yhj++/Nomy9fblvHDHV/H/csemeRJVXVT1n6t+Kgkv5K1X5Md/BCm9cfnS8du2f6gJJ+IY7rezUlu7u53Luuvy1pcO0/n/k2SD3f3ge7++yRvyNq56zzdHJt1bt6SL9/OsH78hFRVP5jku5J8//I/KcmRH9NP5PDn+YnkoVn7n+n3Ln9fnZnk3VX1NTkOz1MxfWR83PkRWO4de1mSG7r7hes2XZnk4Kt0L07ypnXjT1te6XtBks8sv8r8gySPrapTlitej13GTjjd/ZzuPrO792Tt/Puj7v7+JG9P8pRlt7se04PH+inL/r2MX1Rr76JwdpJzsvYCjxNOd38syUer6mHL0KOTXB/n6dH4yyQXVNX9lz8HDh5T5+nm2JRzc9l2e1VdsPx7etq65zqhVNXjs3b73JO6+3PrNh3uHDxkDyzn7eHO8xNGd7+vu7+6u/csf1/dnLU3JPhYjsfzdNWvcDzeHll7FeqfZ+1VvD+91fPZzo8k35q1Xz9em+Q9y+MJWbun7G1Jbkzy1iQPXvavJL+6HNv3Jdm77rl+KGsv/Nif5Olb/bNth0eSb8+X383jIVn7A35/kt9Jcp9l/L7L+v5l+0PWff9PL8f6g9lmr4zegmN5XpJ9y7n6u1l7Jbnz9OiO6c8n+UCS65K8MmvvhuA8PfLj+Oqs3Xf+91kLkmds5rmZZO/y7+gvkvyPLJ+MfDw/DnNM92ftft2Df1f9+j2dgzlMDxzuPD+eHyzIYwwAAAA/SURBVIc6pnfZflO+/G4ex9156uPEAQBgyG0eAAAwJKYBAGBITAMAwJCYBgCAITENAABDYhoAAIbENAAADP0/MoiLd0xZ52YAAAAASUVORK5CYII=" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Filter the data and create a new histogram" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 6, + "source": [ + "filteredBirds = birds[(birds['MaxBodyMass'] > 1) & (birds['MaxBodyMass'] < 60)] \n", + "filteredBirds['MaxBodyMass'].plot(kind = 'hist',bins = 40,figsize = (12,12))\n", + "plt.show() \n" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Create a 2D histgram showing the relationship between MaxBodyMass and MaxLength" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 7, + "source": [ + "from matplotlib import colors\n", + "from matplotlib.ticker import PercentFormatter\n", + "\n", + "x = filteredBirds['MaxBodyMass']\n", + "y = filteredBirds['MaxLength']\n", + "\n", + "fig, ax = plt.subplots(tight_layout=True)\n", + "hist = ax.hist2d(x, y)" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Working with the filtered dataset, create a labelled and stacked histogram superimposing ConservationStatus with MaxBodyMass" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 8, + "source": [ + "x1 = filteredBirds.loc[filteredBirds.ConservationStatus=='EX', 'MinWingspan']\n", + "x2 = filteredBirds.loc[filteredBirds.ConservationStatus=='CR', 'MinWingspan']\n", + "x3 = filteredBirds.loc[filteredBirds.ConservationStatus=='EN', 'MinWingspan']\n", + "x4 = filteredBirds.loc[filteredBirds.ConservationStatus=='NT', 'MinWingspan']\n", + "x5 = filteredBirds.loc[filteredBirds.ConservationStatus=='VU', 'MinWingspan']\n", + "x6 = filteredBirds.loc[filteredBirds.ConservationStatus=='LC', 'MinWingspan']\n", + "\n", + "kwargs = dict(alpha=0.5, bins=20)\n", + "\n", + "plt.hist(x1, **kwargs, color='red', label='Extinct')\n", + "plt.hist(x2, **kwargs, color='orange', label='Critically Endangered')\n", + "plt.hist(x3, **kwargs, color='yellow', label='Endangered')\n", + "plt.hist(x4, **kwargs, color='green', label='Near Threatened')\n", + "plt.hist(x5, **kwargs, color='blue', label='Vulnerable')\n", + "plt.hist(x6, **kwargs, color='gray', label='Least Concern')\n", + "\n", + "plt.gca().set(title='Conservation Status', ylabel='Max Body Mass')\n", + "plt.legend();" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Working with Seaborn, create a smooth plot about MinWingspan" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 9, + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "sns.kdeplot(filteredBirds['MinWingspan'])\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:1402: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " x[:, None]\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/axes/_base.py:276: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " x = x[:, np.newaxis]\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/axes/_base.py:278: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " y = y[:, np.newaxis]\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Try a kdeplot about MaxBodyMass" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 11, + "source": [ + "sns.kdeplot(filteredBirds['MaxBodyMass'])\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:1402: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " x[:, None]\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/axes/_base.py:276: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " x = x[:, np.newaxis]\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/axes/_base.py:278: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " y = y[:, np.newaxis]\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Experiment with the plot smoothing parameter" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 12, + "source": [ + "sns.kdeplot(filteredBirds['MaxBodyMass'], bw_adjust=.2)\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:1402: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " x[:, None]\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/axes/_base.py:276: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " x = x[:, np.newaxis]\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/matplotlib/axes/_base.py:278: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version. Convert to a numpy array before indexing instead.\n", + " y = y[:, np.newaxis]\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Create a 2D kdeplot comparing MinLength and MaxLength with hue showing ConservationStatus" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 13, + "source": [ + "sns.kdeplot(data=filteredBirds, x=\"MinLength\", y=\"MaxLength\", hue=\"ConservationStatus\")\n" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/distributions.py:1078: UserWarning: Dataset has 0 variance; skipping density estimate.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 13 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/3-Data-Visualization/10-visualization-distributions/translations/README.es.md b/3-Data-Visualization/10-visualization-distributions/translations/README.es.md new file mode 100644 index 0000000..e69de29 diff --git a/3-Data-Visualization/11-visualization-proportions/README.md b/3-Data-Visualization/11-visualization-proportions/README.md new file mode 100644 index 0000000..69b20be --- /dev/null +++ b/3-Data-Visualization/11-visualization-proportions/README.md @@ -0,0 +1,184 @@ +# Visualizing Proportions + +In this lesson, you will use a different nature-focused dataset to visualize proportions, such as how many different types of fungi populate a given dataset about mushrooms. Let's explore these fascinating fungi using a dataset sourced from Audubon listing details about 23 species of gilled mushrooms in the Agaricus and Lepiota families. You will experiment with tasty visualizations such as: + +- Pie charts 🥧 +- Donut charts 🍩 +- Waffle charts 🧇 + +> 💡 A very interesting project called [Charticulator](https://charticulator.com) by Microsoft Research offers a free drag and drop interface for data visualizations. In one of their tutorials they also use this mushroom dataset! So you can explore the data and learn the library at the same time: https://charticulator.com/tutorials/tutorial4.html + +## Pre-Lecture Quiz + +[Pre-lecture quiz]() + +## Get to know your mushrooms 🍄 + +Mushrooms are very interesting. Let's import a dataset to study them. + +```python +import pandas as pd +import matplotlib.pyplot as plt +mushrooms = pd.read_csv('../../data/mushrooms.csv') +mushrooms.head() +``` +A table is printed out with some great data for analysis: + + +| class | cap-shape | cap-surface | cap-color | bruises | odor | gill-attachment | gill-spacing | gill-size | gill-color | stalk-shape | stalk-root | stalk-surface-above-ring | stalk-surface-below-ring | stalk-color-above-ring | stalk-color-below-ring | veil-type | veil-color | ring-number | ring-type | spore-print-color | population | habitat | +| --------- | --------- | ----------- | --------- | ------- | ------- | --------------- | ------------ | --------- | ---------- | ----------- | ---------- | ------------------------ | ------------------------ | ---------------------- | ---------------------- | --------- | ---------- | ----------- | --------- | ----------------- | ---------- | ------- | +| Poisonous | Convex | Smooth | Brown | Bruises | Pungent | Free | Close | Narrow | Black | Enlarging | Equal | Smooth | Smooth | White | White | Partial | White | One | Pendant | Black | Scattered | Urban | +| Edible | Convex | Smooth | Yellow | Bruises | Almond | Free | Close | Broad | Black | Enlarging | Club | Smooth | Smooth | White | White | Partial | White | One | Pendant | Brown | Numerous | Grasses | +| Edible | Bell | Smooth | White | Bruises | Anise | Free | Close | Broad | Brown | Enlarging | Club | Smooth | Smooth | White | White | Partial | White | One | Pendant | Brown | Numerous | Meadows | +| Poisonous | Convex | Scaly | White | Bruises | Pungent | Free | Close | Narrow | Brown | Enlarging | Equal | Smooth | Smooth | White | White | Partial | White | One | Pendant | Black | Scattered | Urban | + +Right away, you notice that all the data is textual. You will have to edit this data to be able to use it in a chart. Most of the data, in fact, is represented as an object: + +```python +print(mushrooms.select_dtypes(["object"]).columns) +``` + +The output is: + +```output +Index(['class', 'cap-shape', 'cap-surface', 'cap-color', 'bruises', 'odor', + 'gill-attachment', 'gill-spacing', 'gill-size', 'gill-color', + 'stalk-shape', 'stalk-root', 'stalk-surface-above-ring', + 'stalk-surface-below-ring', 'stalk-color-above-ring', + 'stalk-color-below-ring', 'veil-type', 'veil-color', 'ring-number', + 'ring-type', 'spore-print-color', 'population', 'habitat'], + dtype='object') +``` +Take this data and convert the 'class' column to a category: + +```python +cols = mushrooms.select_dtypes(["object"]).columns +mushrooms[cols] = mushrooms[cols].astype('category') +``` +Now, if you print out the mushrooms data, you can see that it has been grouped into categories according to the poisonous/edible class: + + +| | cap-shape | cap-surface | cap-color | bruises | odor | gill-attachment | gill-spacing | gill-size | gill-color | stalk-shape | ... | stalk-surface-below-ring | stalk-color-above-ring | stalk-color-below-ring | veil-type | veil-color | ring-number | ring-type | spore-print-color | population | habitat | +| --------- | --------- | ----------- | --------- | ------- | ---- | --------------- | ------------ | --------- | ---------- | ----------- | --- | ------------------------ | ---------------------- | ---------------------- | --------- | ---------- | ----------- | --------- | ----------------- | ---------- | ------- | +| class | | | | | | | | | | | | | | | | | | | | | | +| Edible | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | ... | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | 4208 | +| Poisonous | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | ... | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | 3916 | + +If you follow the order presented in this table to create your class category labels, you can build a pie chart: + +## Pie! + +```python +labels=['Edible','Poisonous'] +plt.pie(edibleclass['population'],labels=labels,autopct='%.1f %%') +plt.title('Edible?') +plt.show() +``` +Voila, a pie chart showing the proportions of this data according to these two classes of mushroom. It's quite important to get the order of labels correct, especially here, so be sure to verify the order with which the label array is built! + +![pie chart](images/pie1.png) + +## Donuts! + +A somewhat more visually interesting pie chart is a donut chart, which is a pie chart with a hole in the middle. Let's look at our data using this method. + +Take a look at the various habitats where mushrooms grow. + +```python +habitat=mushrooms.groupby(['habitat']).count() +habitat +``` +Here, you are grouping your data by habitat. There are 7 listed, so use those as labels for your donut chart: + +```python +labels=['Grasses','Leaves','Meadows','Paths','Urban','Waste','Wood'] + +plt.pie(habitat['class'], labels=labels, + autopct='%1.1f%%', pctdistance=0.85) + +center_circle = plt.Circle((0, 0), 0.40, fc='white') +fig = plt.gcf() + +fig.gca().add_artist(center_circle) + +plt.title('Mushroom Habitats') + +plt.show() +``` + +![donut chart](images/donut.png) + +This code draws a chart and a center circle, then adds that center circle in. Edit the width of the center circle by changing `0.40` to another value. + +Donut charts can be tweaked several ways to change the labels. The labels in particular can be highlighted for readability. Learn more in the [docs](https://matplotlib.org/stable/gallery/pie_and_polar_charts/pie_and_donut_labels.html?highlight=donut). + +Now that you know how to group your data and then display it as a pie or donut, you can explore other types of charts. Try a waffle chart, which is just a different way of exploring quantity. +## Waffles! + +A 'waffle' type chart is a different way to visualize quantities as a 2D array of squares. Try visualizing the different quantities of mushroom cap colors in this dataset. To do this, you need to install a helper library called [PyWaffle](https://pypi.org/project/pywaffle/) and use Matplotlib: + +```python +pip install pywaffle +``` + +Select a segment of your data to group: + +```python +capcolor=mushrooms.groupby(['cap-color']).count() +capcolor +``` + +Create a waffle chart by creating labels and then grouping your data: + +```python +import pandas as pd +import matplotlib.pyplot as plt +from pywaffle import Waffle + +data ={'color': ['brown', 'buff', 'cinnamon', 'green', 'pink', 'purple', 'red', 'white', 'yellow'], + 'amount': capcolor['class'] + } + +df = pd.DataFrame(data) + +fig = plt.figure( + FigureClass = Waffle, + rows = 100, + values = df.amount, + labels = list(df.color), + figsize = (30,30), + colors=["brown", "tan", "maroon", "green", "pink", "purple", "red", "whitesmoke", "yellow"], +) +``` + +Using a waffle chart, you can plainly see the proportions of cap color of this mushroom dataset. Interestingly, there are many green-capped mushrooms! + +![waffle chart](images/waffle.png) + +✅ Pywaffle supports icons within the charts that use any icon available in [Font Awesome](https://fontawesome.com/). Do some experiments to create an even more interesting waffle chart using icons instead of squares. + +In this lesson you learned three ways to visualize proportions. First, you need to group your data into categories and then decide which is the best way to display the data - pie, donut, or waffle. All are delicious and gratify the user with an instant snapshot of a dataset. + +## 🚀 Challenge + +Try recreating these tasty charts in [Charticulator](https://charticulator.com). +## Post-Lecture Quiz + +[Post-lecture quiz]() + +## Review & Self Study + +Sometimes it's not obvious when to use a pie, donut, or waffle chart. Here are some articles to read on this topic: + +https://www.beautiful.ai/blog/battle-of-the-charts-pie-chart-vs-donut-chart + +https://medium.com/@hypsypops/pie-chart-vs-donut-chart-showdown-in-the-ring-5d24fd86a9ce + +https://www.mit.edu/~mbarker/formula1/f1help/11-ch-c6.htm + +https://medium.datadriveninvestor.com/data-visualization-done-the-right-way-with-tableau-waffle-chart-fdf2a19be402 + +Do some research to find more information on this sticky decision. +## Assignment + +[Try it in Excel](assignment.md) diff --git a/3-Data-Visualization/11-visualization-proportions/assignment.md b/3-Data-Visualization/11-visualization-proportions/assignment.md new file mode 100644 index 0000000..e3ab407 --- /dev/null +++ b/3-Data-Visualization/11-visualization-proportions/assignment.md @@ -0,0 +1,11 @@ +# Try it in Excel + +## Instructions + +Did you know you can create donut, pie and waffle charts in Excel? 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classcap-shapecap-surfacecap-colorbruisesodorgill-attachmentgill-spacinggill-sizegill-color...stalk-surface-below-ringstalk-color-above-ringstalk-color-below-ringveil-typeveil-colorring-numberring-typespore-print-colorpopulationhabitat
0PoisonousConvexSmoothBrownBruisesPungentFreeCloseNarrowBlack...SmoothWhiteWhitePartialWhiteOnePendantBlackScatteredUrban
1EdibleConvexSmoothYellowBruisesAlmondFreeCloseBroadBlack...SmoothWhiteWhitePartialWhiteOnePendantBrownNumerousGrasses
2EdibleBellSmoothWhiteBruisesAniseFreeCloseBroadBrown...SmoothWhiteWhitePartialWhiteOnePendantBrownNumerousMeadows
3PoisonousConvexScalyWhiteBruisesPungentFreeCloseNarrowBrown...SmoothWhiteWhitePartialWhiteOnePendantBlackScatteredUrban
4EdibleConvexSmoothGreenNo BruisesNoneFreeCrowdedBroadBlack...SmoothWhiteWhitePartialWhiteOneEvanescentBrownAbundantGrasses
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5 rows × 23 columns

\n", + "" + ] + }, + "metadata": {}, + "execution_count": 4 + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "# Pie chart\n", + "\n", + "Create a pie chart displaying the proportion of Poisonous vs. Edible mushrooms" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 5, + "source": [ + "print(mushrooms.select_dtypes([\"object\"]).columns)" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Index(['class', 'cap-shape', 'cap-surface', 'cap-color', 'bruises', 'odor',\n", + " 'gill-attachment', 'gill-spacing', 'gill-size', 'gill-color',\n", + " 'stalk-shape', 'stalk-root', 'stalk-surface-above-ring',\n", + " 'stalk-surface-below-ring', 'stalk-color-above-ring',\n", + " 'stalk-color-below-ring', 'veil-type', 'veil-color', 'ring-number',\n", + " 'ring-type', 'spore-print-color', 'population', 'habitat'],\n", + " dtype='object')\n" + ] + } + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 6, + "source": [ + "cols = mushrooms.select_dtypes([\"object\"]).columns\n", + "mushrooms[cols] = mushrooms[cols].astype('category')" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 7, + "source": [ + "edibleclass=mushrooms.groupby(['class']).count()\n", + "edibleclass" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " cap-shape cap-surface cap-color bruises odor gill-attachment \\\n", + "class \n", + "Edible 4208 4208 4208 4208 4208 4208 \n", + "Poisonous 3916 3916 3916 3916 3916 3916 \n", + "\n", + " gill-spacing gill-size gill-color stalk-shape ... \\\n", + "class ... \n", + "Edible 4208 4208 4208 4208 ... \n", + "Poisonous 3916 3916 3916 3916 ... \n", + "\n", + " stalk-surface-below-ring stalk-color-above-ring \\\n", + "class \n", + "Edible 4208 4208 \n", + "Poisonous 3916 3916 \n", + "\n", + " stalk-color-below-ring veil-type veil-color ring-number \\\n", + "class \n", + "Edible 4208 4208 4208 4208 \n", + "Poisonous 3916 3916 3916 3916 \n", + "\n", + " ring-type spore-print-color population habitat \n", + "class \n", + "Edible 4208 4208 4208 4208 \n", + "Poisonous 3916 3916 3916 3916 \n", + "\n", + "[2 rows x 22 columns]" + ], + "text/html": [ + "
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cap-shapecap-surfacecap-colorbruisesodorgill-attachmentgill-spacinggill-sizegill-colorstalk-shape...stalk-surface-below-ringstalk-color-above-ringstalk-color-below-ringveil-typeveil-colorring-numberring-typespore-print-colorpopulationhabitat
class
Edible4208420842084208420842084208420842084208...4208420842084208420842084208420842084208
Poisonous3916391639163916391639163916391639163916...3916391639163916391639163916391639163916
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2 rows × 22 columns

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" + ] + }, + "metadata": {}, + "execution_count": 7 + } + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 8, + "source": [ + "labels=['Edible','Poisonous']\n", + "plt.pie(edibleclass['population'],labels=labels,autopct='%.1f %%')\n", + "plt.title('Edible?')\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {} + } + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 9, + "source": [ + "capcolor=mushrooms.groupby(['cap-color']).count()\n", + "capcolor" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " class cap-shape cap-surface bruises odor gill-attachment \\\n", + "cap-color \n", + "Brown 2284 2284 2284 2284 2284 2284 \n", + "Buff 168 168 168 168 168 168 \n", + "Cinnamon 44 44 44 44 44 44 \n", + "Green 1856 1856 1856 1856 1856 1856 \n", + "Pink 144 144 144 144 144 144 \n", + "Purple 16 16 16 16 16 16 \n", + "Red 1500 1500 1500 1500 1500 1500 \n", + "White 1040 1040 1040 1040 1040 1040 \n", + "Yellow 1072 1072 1072 1072 1072 1072 \n", + "\n", + " gill-spacing gill-size gill-color stalk-shape ... \\\n", + "cap-color ... \n", + "Brown 2284 2284 2284 2284 ... \n", + "Buff 168 168 168 168 ... \n", + "Cinnamon 44 44 44 44 ... \n", + "Green 1856 1856 1856 1856 ... \n", + "Pink 144 144 144 144 ... \n", + "Purple 16 16 16 16 ... \n", + "Red 1500 1500 1500 1500 ... \n", + "White 1040 1040 1040 1040 ... \n", + "Yellow 1072 1072 1072 1072 ... \n", + "\n", + " stalk-surface-below-ring stalk-color-above-ring \\\n", + "cap-color \n", + "Brown 2284 2284 \n", + "Buff 168 168 \n", + "Cinnamon 44 44 \n", + "Green 1856 1856 \n", + "Pink 144 144 \n", + "Purple 16 16 \n", + "Red 1500 1500 \n", + "White 1040 1040 \n", + "Yellow 1072 1072 \n", + "\n", + " stalk-color-below-ring veil-type veil-color ring-number \\\n", + "cap-color \n", + "Brown 2284 2284 2284 2284 \n", + "Buff 168 168 168 168 \n", + "Cinnamon 44 44 44 44 \n", + "Green 1856 1856 1856 1856 \n", + "Pink 144 144 144 144 \n", + "Purple 16 16 16 16 \n", + "Red 1500 1500 1500 1500 \n", + "White 1040 1040 1040 1040 \n", + "Yellow 1072 1072 1072 1072 \n", + "\n", + " ring-type spore-print-color population habitat \n", + "cap-color \n", + "Brown 2284 2284 2284 2284 \n", + "Buff 168 168 168 168 \n", + "Cinnamon 44 44 44 44 \n", + "Green 1856 1856 1856 1856 \n", + "Pink 144 144 144 144 \n", + "Purple 16 16 16 16 \n", + "Red 1500 1500 1500 1500 \n", + "White 1040 1040 1040 1040 \n", + "Yellow 1072 1072 1072 1072 \n", + "\n", + "[9 rows x 22 columns]" + ], + "text/html": [ + "
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classcap-shapecap-surfacebruisesodorgill-attachmentgill-spacinggill-sizegill-colorstalk-shape...stalk-surface-below-ringstalk-color-above-ringstalk-color-below-ringveil-typeveil-colorring-numberring-typespore-print-colorpopulationhabitat
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Buff168168168168168168168168168168...168168168168168168168168168168
Cinnamon44444444444444444444...44444444444444444444
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Purple16161616161616161616...16161616161616161616
Red1500150015001500150015001500150015001500...1500150015001500150015001500150015001500
White1040104010401040104010401040104010401040...1040104010401040104010401040104010401040
Yellow1072107210721072107210721072107210721072...1072107210721072107210721072107210721072
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9 rows × 22 columns

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" + ] + }, + "metadata": {}, + "execution_count": 9 + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "# Donut chart" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 10, + "source": [ + "habitat=mushrooms.groupby(['habitat']).count()\n", + "habitat" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " class cap-shape cap-surface cap-color bruises odor \\\n", + "habitat \n", + "Grasses 2148 2148 2148 2148 2148 2148 \n", + "Leaves 832 832 832 832 832 832 \n", + "Meadows 292 292 292 292 292 292 \n", + "Paths 1144 1144 1144 1144 1144 1144 \n", + "Urban 368 368 368 368 368 368 \n", + "Waste 192 192 192 192 192 192 \n", + "Wood 3148 3148 3148 3148 3148 3148 \n", + "\n", + " gill-attachment gill-spacing gill-size gill-color ... \\\n", + "habitat ... \n", + "Grasses 2148 2148 2148 2148 ... \n", + "Leaves 832 832 832 832 ... \n", + "Meadows 292 292 292 292 ... \n", + "Paths 1144 1144 1144 1144 ... \n", + "Urban 368 368 368 368 ... \n", + "Waste 192 192 192 192 ... \n", + "Wood 3148 3148 3148 3148 ... \n", + "\n", + " stalk-surface-above-ring stalk-surface-below-ring \\\n", + "habitat \n", + "Grasses 2148 2148 \n", + "Leaves 832 832 \n", + "Meadows 292 292 \n", + "Paths 1144 1144 \n", + "Urban 368 368 \n", + "Waste 192 192 \n", + "Wood 3148 3148 \n", + "\n", + " stalk-color-above-ring stalk-color-below-ring veil-type \\\n", + "habitat \n", + "Grasses 2148 2148 2148 \n", + "Leaves 832 832 832 \n", + "Meadows 292 292 292 \n", + "Paths 1144 1144 1144 \n", + "Urban 368 368 368 \n", + "Waste 192 192 192 \n", + "Wood 3148 3148 3148 \n", + "\n", + " veil-color ring-number ring-type spore-print-color population \n", + "habitat \n", + "Grasses 2148 2148 2148 2148 2148 \n", + "Leaves 832 832 832 832 832 \n", + "Meadows 292 292 292 292 292 \n", + "Paths 1144 1144 1144 1144 1144 \n", + "Urban 368 368 368 368 368 \n", + "Waste 192 192 192 192 192 \n", + "Wood 3148 3148 3148 3148 3148 \n", + "\n", + "[7 rows x 22 columns]" + ], + "text/html": [ + "
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classcap-shapecap-surfacecap-colorbruisesodorgill-attachmentgill-spacinggill-sizegill-color...stalk-surface-above-ringstalk-surface-below-ringstalk-color-above-ringstalk-color-below-ringveil-typeveil-colorring-numberring-typespore-print-colorpopulation
habitat
Grasses2148214821482148214821482148214821482148...2148214821482148214821482148214821482148
Leaves832832832832832832832832832832...832832832832832832832832832832
Meadows292292292292292292292292292292...292292292292292292292292292292
Paths1144114411441144114411441144114411441144...1144114411441144114411441144114411441144
Urban368368368368368368368368368368...368368368368368368368368368368
Waste192192192192192192192192192192...192192192192192192192192192192
Wood3148314831483148314831483148314831483148...3148314831483148314831483148314831483148
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7 rows × 22 columns

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" + ] + }, + "metadata": {}, + "execution_count": 10 + } + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 11, + "source": [ + " \n", + "labels=['Grasses','Leaves','Meadows','Paths','Urban','Waste','Wood']\n", + "\n", + "plt.pie(habitat['class'], labels=labels,\n", + " autopct='%1.1f%%', pctdistance=0.85)\n", + " \n", + "center_circle = plt.Circle((0, 0), 0.40, fc='white')\n", + "fig = plt.gcf()\n", + "\n", + "fig.gca().add_artist(center_circle)\n", + " \n", + "# Adding Title of chart\n", + "plt.title('Mushroom Habitats')\n", + " \n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {} + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "# Waffle chart" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 12, + "source": [ + "pip install pywaffle" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: pywaffle in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (0.6.3)\n", + "Requirement already satisfied: matplotlib in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from pywaffle) (3.1.0)\n", + "Requirement already satisfied: python-dateutil>=2.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (2.8.0)\n", + "Requirement already satisfied: numpy>=1.11 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (1.19.2)\n", + "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (2.4.0)\n", + "Requirement already satisfied: cycler>=0.10 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (0.10.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (1.1.0)\n", + "Requirement already satisfied: six>=1.5 in /Users/jenlooper/Library/Python/3.7/lib/python/site-packages (from python-dateutil>=2.1->matplotlib->pywaffle) (1.12.0)\n", + "Requirement already satisfied: setuptools in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib->pywaffle) (45.1.0)\n", + "\u001b[33mWARNING: You are using pip version 20.2.3; however, version 21.2.3 is available.\n", + "You should consider upgrading via the '/Library/Frameworks/Python.framework/Versions/3.7/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 13, + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "from pywaffle import Waffle\n", + " \n", + "# creation of a dataframe\n", + "\n", + "\n", + "data ={'color': ['brown', 'buff', 'cinnamon', 'green', 'pink', 'purple', 'red', 'white', 'yellow'],\n", + " 'amount': capcolor['class']\n", + " }\n", + " \n", + "df = pd.DataFrame(data)\n", + " \n", + "# To plot the waffle Chart\n", + "fig = plt.figure(\n", + " FigureClass = Waffle,\n", + " rows = 100,\n", + " values = df.amount,\n", + " labels = list(df.color),\n", + " figsize = (30,30),\n", + " colors=[\"brown\", \"tan\", \"maroon\", \"green\", \"pink\", \"purple\", \"red\", \"whitesmoke\", \"yellow\"],\n", + ")\n", + "\n", + "\n" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "image/png": 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mode 100644 index 0000000..b249497 --- /dev/null +++ b/3-Data-Visualization/12-visualization-relationships/README.md @@ -0,0 +1,174 @@ +# Visualizing Relationships: All About Honey 🍯 + +Continuing with the nature focus of our research, let's discover interesting visualizations to show the relationships between various types of honey, according to a dataset derived from the [United States Department of Agriculture](https://www.nass.usda.gov/About_NASS/index.php). + +This dataset of about 600 items displays honey production in many U.S. states. So, for example, you can look at the number of colonies, yield per colony, total production, stocks, price per pound, and value of the honey produced in a given state from 1998-2012, with one row per year for each state. + +It will be interesting to visualize the relationship between a given state's production per year and, for example, the price of honey in that state. Alternately, you could visualize the relationship between states' honey yield per colony. This year span covers the devastating 'CCD' or 'Colony Collapse Disorder' first seen in 2006 (http://npic.orst.edu/envir/ccd.html), so it is a poignant dataset to study. 🐝 + +## Pre-Lecture Quiz + +[Pre-lecture quiz]() + +In this lesson, you can use Seaborn, which you use before, as a good library to visualize relationships between variables. Particularly interesting is the use of Seaborn's `relplot` function that allows scatter plots and line plots to quickly visualize '[statistical relationships](https://seaborn.pydata.org/tutorial/relational.html?highlight=relationships)', which allow the data scientist to better understand how variables relate to each other. + +## Scatterplots + +Use a scatterplot to show how the price of honey has evolved, year over year, per state. Seaborn, using `relplot`, conveniently groups the state data and displays data points for both categorical and numeric data. + +Let's start by importing the data and Seaborn: + +```python +import pandas as pd +import matplotlib.pyplot as plt +import seaborn as sns +honey = pd.read_csv('../../data/honey.csv') +honey.head() +``` +You notice that the honey data has several interesting columns, including year and price per pound. Let's explore this data, grouped by U.S. state: + +| state | numcol | yieldpercol | totalprod | stocks | priceperlb | prodvalue | year | +| ----- | ------ | ----------- | --------- | -------- | ---------- | --------- | ---- | +| AL | 16000 | 71 | 1136000 | 159000 | 0.72 | 818000 | 1998 | +| AZ | 55000 | 60 | 3300000 | 1485000 | 0.64 | 2112000 | 1998 | +| AR | 53000 | 65 | 3445000 | 1688000 | 0.59 | 2033000 | 1998 | +| CA | 450000 | 83 | 37350000 | 12326000 | 0.62 | 23157000 | 1998 | +| CO | 27000 | 72 | 1944000 | 1594000 | 0.7 | 1361000 | 1998 | + + +Create a basic scatterplot to show the relationship between the price per pound of honey and its U.S. state of origin. Make the `y` axis tall enough to display all the states: + +```python +sns.relplot(x="priceperlb", y="state", data=honey, height=15, aspect=.5); +``` +![scatterplot 1](images/scatter1.png) + +Now, show the same data with a honey color scheme to show how the price evolves over the years. You can do this by adding a 'hue' parameter to show the change, year over year: + +> ✅ Learn more about the [color palettes you can use in Seaborn](https://seaborn.pydata.org/tutorial/color_palettes.html) - try a beautiful rainbow color scheme! + +```python +sns.relplot(x="priceperlb", y="state", hue="year", palette="YlOrBr", data=honey, height=15, aspect=.5); +``` +![scatterplot 2](images/scatter2.png) + +With this color scheme change, you can see that there's obviously a strong progression over the years in terms of honey price per pound. Indeed, if you look at a sample set in the data to verify (pick a given state, Arizona for example) you can see a pattern of price increases year over year, with few exceptions: + +| state | numcol | yieldpercol | totalprod | stocks | priceperlb | prodvalue | year | +| ----- | ------ | ----------- | --------- | ------- | ---------- | --------- | ---- | +| AZ | 55000 | 60 | 3300000 | 1485000 | 0.64 | 2112000 | 1998 | +| AZ | 52000 | 62 | 3224000 | 1548000 | 0.62 | 1999000 | 1999 | +| AZ | 40000 | 59 | 2360000 | 1322000 | 0.73 | 1723000 | 2000 | +| AZ | 43000 | 59 | 2537000 | 1142000 | 0.72 | 1827000 | 2001 | +| AZ | 38000 | 63 | 2394000 | 1197000 | 1.08 | 2586000 | 2002 | +| AZ | 35000 | 72 | 2520000 | 983000 | 1.34 | 3377000 | 2003 | +| AZ | 32000 | 55 | 1760000 | 774000 | 1.11 | 1954000 | 2004 | +| AZ | 36000 | 50 | 1800000 | 720000 | 1.04 | 1872000 | 2005 | +| AZ | 30000 | 65 | 1950000 | 839000 | 0.91 | 1775000 | 2006 | +| AZ | 30000 | 64 | 1920000 | 902000 | 1.26 | 2419000 | 2007 | +| AZ | 25000 | 64 | 1600000 | 336000 | 1.26 | 2016000 | 2008 | +| AZ | 20000 | 52 | 1040000 | 562000 | 1.45 | 1508000 | 2009 | +| AZ | 24000 | 77 | 1848000 | 665000 | 1.52 | 2809000 | 2010 | +| AZ | 23000 | 53 | 1219000 | 427000 | 1.55 | 1889000 | 2011 | +| AZ | 22000 | 46 | 1012000 | 253000 | 1.79 | 1811000 | 2012 | + + +Another way to visualize this progression is to use size, rather than color. For colorblind users, this might be a better option. Edit your visualization to show an increase of price by an increase in dot circumference: + +```python +sns.relplot(x="priceperlb", y="state", size="year", data=honey, height=15, aspect=.5); +``` +You can see the size of the dots gradually increasing. + +![scatterplot 3](images/scatter3.png) + +Is this a simple case of supply and demand? Due to factors such as climate change and colony collapse, is there less honey available for purchase year over year, and thus the price increases? + +To discover a correlation between some of the variables in this dataset, let's explore some line charts. + +## Line charts + +Question: Is there a clear rise in price of honey per pound year over year? You can most easily discover that by creating a single line chart: + +```python +sns.relplot(x="year", y="priceperlb", kind="line", data=honey); +``` +Answer: Yes, with some exceptions around the year 2003: + +![line chart 1](images/line1.png) + +✅ Because Seaborn is aggregating data around one line, it displays "the multiple measurements at each x value by plotting the mean and the 95% confidence interval around the mean". [source](https://seaborn.pydata.org/tutorial/relational.html). This time-consuming behavior can be disabled by adding `ci=None`. + +Question: Well, in 2003 can we also see a spike in the honey supply? What if you look at total production year over year? + +```python +sns.relplot(x="year", y="totalprod", kind="line", data=honey); +``` + +![line chart 2](images/line2.png) + +Answer: Not really. If you look at total production, it actually seems to have increased in that particular year, even though generally speaking the amount of honey being produced is in decline during these years. + +Question: In that case, what could have caused that spike in the price of honey around 2003? + +To discover this, you can explore a facet grid. + +## Facet grids + +Facet grids take one facet of your dataset (in our case, you can choose 'year' to avoid having too many facets produced). Seaborn can then make a plot for each of those facets of your chosen x and y coordinates for more easy visual comparison. Does 2003 stand out in this type of comparison? + +Create a facet grid by continuing to use `relplot` as recommended by [Seaborn's documentation](https://seaborn.pydata.org/generated/seaborn.FacetGrid.html?highlight=facetgrid#seaborn.FacetGrid). + +```python +sns.relplot( + data=honey, + x="yieldpercol", y="numcol", + col="year", + col_wrap=3, + kind="line" +``` +In this visualization, you can compare the yield per colony and number of colonies year over year, side by side with a wrap set at 3 for the columns: + +![facet grid](images/facet.png) + +For this dataset, nothing particularly stands out with regards to the number of colonies and their yield, year over year and state over state. Is there a different way to look at finding a correlation between these two variables? + +## Dual-line Plots + +Try a multiline plot by superimposing two lineplots on top of each other, using Seaborn's 'despine' to remove their top and right spines, and using `ax.twinx` [derived from Matplotlib](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.twinx.html). Twinx allows a chart to share the x axis and display two y axes. So, display the yield per colony and number of colonies, superimposed: + +```python +fig, ax = plt.subplots(figsize=(12,6)) +lineplot = sns.lineplot(x=honey['year'], y=honey['numcol'], data=honey, + label = 'Number of bee colonies', legend=False) +sns.despine() +plt.ylabel('# colonies') +plt.title('Honey Production Year over Year'); + +ax2 = ax.twinx() +lineplot2 = sns.lineplot(x=honey['year'], y=honey['yieldpercol'], ax=ax2, color="r", + label ='Yield per colony', legend=False) +sns.despine(right=False) +plt.ylabel('colony yield') +ax.figure.legend(); +``` +![superimposed plots](images/dual-line.png) + +While nothing jumps out to the eye around the year 2003, it does allow us to end this lesson on a little happier note: while there are overall a declining number of colonies, their numbers might seem to be stabilizing and their yield per colony is actually increasing, even with fewer bees. + +Go, bees, go! + +🐝❤️ +## 🚀 Challenge + +In this lesson, you learned a bit more about other uses of scatterplots and line grids, including facet grids. Challenge yourself to create a facet grid using a different dataset, maybe one you used prior to these lessons. Note how long they take to create and how you need to be careful about how many grids you need to draw using these techniques. +## Post-Lecture Quiz + +[Post-lecture quiz]() + +## Review & Self Study + +Line plots can be simple or quite complex. Do a bit of reading in the [Seaborn documentation](https://seaborn.pydata.org/generated/seaborn.lineplot.html) on the various ways you can build them. Try to enhance the line charts you built in this lesson with other methods listed in the docs. +## Assignment + +[Dive into the beehive](assignment.md) diff --git a/3-Data-Visualization/12-visualization-relationships/assignment.md b/3-Data-Visualization/12-visualization-relationships/assignment.md new file mode 100644 index 0000000..5dca670 --- /dev/null +++ b/3-Data-Visualization/12-visualization-relationships/assignment.md @@ -0,0 +1,11 @@ +# Dive into the beehive + +## Instructions + +In this lesson you started looking at a dataset around bees and their honey production over a period of time that saw losses in the bee colony population overall. Dig deeper into this dataset and build a notebook that can tell the story of the health of the bee population, state by state and year by year. Do you discover anything interesting about this dataset? + +## Rubric + +| Exemplary | Adequate | Needs Improvement | +| ------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- | ---------------------------------------- | +| A notebook is presented with a story annotated with at least three different charts showing aspects of the dataset, state over state and year over year | The notebook lacks one of these elements | The notebook lacks two of these elements | \ No newline at end of file diff --git a/3-Data-Visualization/12-visualization-relationships/images/dual-line.png b/3-Data-Visualization/12-visualization-relationships/images/dual-line.png new file mode 100644 index 0000000000000000000000000000000000000000..9f56938e3d8dec139792ea83e94def96a002ff9b GIT binary patch literal 55287 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statenumcolyieldpercoltotalprodstockspriceperlbprodvalueyear
0AL16000.0711136000.0159000.00.72818000.01998
1AZ55000.0603300000.01485000.00.642112000.01998
2AR53000.0653445000.01688000.00.592033000.01998
3CA450000.08337350000.012326000.00.6223157000.01998
4CO27000.0721944000.01594000.00.701361000.01998
\n", + "" + ] + }, + "metadata": {}, + "execution_count": 177 + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Use a scatterplot to show the relationship between a state and its price per pound for local honey" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 178, + "source": [ + "sns.relplot(x=\"priceperlb\", y=\"state\", data=honey, height=15, aspect=.5);\n" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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" + }, + "metadata": {} + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Show this relationship plus a new yellow-colored scatterplot with hue determined by year." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 179, + "source": [ + "sns.relplot(x=\"priceperlb\", y=\"state\", hue=\"year\", palette=\"YlOrBr\", data=honey, height=15, aspect=.5);\n" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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" + }, + "metadata": {} + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Try this plot one more time, this time showing the price change by size of the dot in the scatterplot" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 180, + "source": [ + "sns.relplot(x=\"priceperlb\", y=\"state\", size=\"year\", data=honey, height=15, aspect=.5);\n" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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" 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" 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" + }, + "metadata": {} + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Create a dual line plot (this solution is suggested by Kedar Ghule: https://kedar.hashnode.dev/how-to-combine-two-line-charts-in-seaborn-and-python)" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 200, + "source": [ + "fig, ax = plt.subplots(figsize=(12,6))\n", + "lineplot = sns.lineplot(x=honey['year'], y=honey['numcol'], data=honey, \n", + " label = 'Number of bee colonies', legend=False)\n", + "sns.despine()\n", + "plt.ylabel('# colonies')\n", + "plt.title('Honey Production Year over Year');\n", + "\n", + "ax2 = ax.twinx()\n", + "lineplot2 = sns.lineplot(x=honey['year'], y=honey['yieldpercol'], ax=ax2, color=\"r\", \n", + " label ='Yield per colony', legend=False) \n", + "sns.despine(right=False)\n", + "plt.ylabel('colony yield')\n", + "ax.figure.legend();" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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" 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0000000..e2317d3 --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/README.md @@ -0,0 +1,158 @@ +# Making Meaningful Visualizations + +> "If you torture the data long enough, it will confess to anything" -- [Ronald Coase](https://en.wikiquote.org/wiki/Ronald_Coase) + +One of the basic skills of a data scientist is the ability to create a meaningful data visualization that helps answer questions you might have. Prior to visualizing your data, you need to ensure that it has been cleaned and prepared, as you did in prior lessons. After that, you can start deciding how best to present the data. + +In this lesson, you will review: + +1. How to choose the right chart type +2. How to avoid deceptive charting +3. How to work with color +4. How to style your charts for readability +5. How to build animated or 3D charting solutions +6. How to build a creative visualization + +[Pre-lecture quiz]() +## Pre-Lecture Quiz + +## Choose the right chart type + +In previous lessons, you experimented with building all kinds of interesting data visualizations using Matplotlib and Seaborn for charting. In general, you can select the [right kind of chart](https://chartio.com/learn/charts/how-to-select-a-data-vizualization/) for the question you are asking using this table: + + +| You need to: | You should use: | +| -------------------------- | ------------------------------- | +| Show data trends over time | Line | +| Compare categories | Bar, Pie | +| Compare totals | Pie, Stacked Bar | +| Show relationships | Scatter, Line, Facet, Dual Line | +| Show distributions | Scatter, Histogram, Box | +| Show proportions | Pie, Donut, Waffle | + +> ✅ Depending on the makeup of your data, you might need to convert it from text to numeric to get a given chart to support it. +## Avoid deception + +Even if a data scientist is careful to choose the right chart for the right data, there are plenty of ways that data can be displayed in a way to prove a point, often at the cost of undermining the data itself. There are many examples of deceptive charts and infographics! + +[![Deceptive Charts by Alberto Cairo](./images/tornado.png)](https://www.youtube.com/Low28hx4wyk "Deceptive charts") + +> 🎥 Click the image above for a conference talk about deceptive charts + +This chart reverses the X axis to show the opposite of the truth, based on date: + +![bad chart 1](images/bad-chart-1.png) + +[This chart](https://media.firstcoastnews.com/assets/WTLV/images/170ae16f-4643-438f-b689-50d66ca6a8d8/170ae16f-4643-438f-b689-50d66ca6a8d8_1140x641.jpg) is even more deceptive, as the eye is drawn to the right to conclude that, over time, COVID cases have declined in the various counties. In fact, if you look closely at the dates, you find that they have been rearranged to give that deceptive downward trend. + +![bad chart 2](images/bad-chart-2.jpg) + +This notorious example uses color AND a flipped Y axis to deceive: instead of concluding that gun deaths spiked after the passage of gun-friendly legislation, in fact the eye is fooled to think that the opposite is true: + +![bad chart 3](images/bad-chart-3.jpg) + +This strange chart shows how proportion can be manipulated, to hilarious effect: + +![bad chart 4](images/bad-chart-4.jpg) + +Comparing the incomparable is yet another shady trick. There is a [wonderful web site](https://tylervigen.com/spurious-correlations) all about 'spurious correlations' displaying 'facts' correlating things like the divorce rate in Maine and the consumption of margarine. A Reddit group also collects the [ugly uses](https://www.reddit.com/r/dataisugly/top/?t=all) of data. + +It's important to understand how easily the eye can be fooled by deceptive charts. Even if the data scientist's intention is good, the choice of a bad type of chart, such as a pie chart showing too many categories, can be deceptive. + +## Color + +You saw in the 'Florida gun violence' chart above how color can provide an additional layer of meaning to charts, especially ones not designed using libraries such as Matplotlib and Seaborn which come with various vetted color libraries and palettes. If you are making a chart by hand, do a little study of [color theory](https://colormatters.com/color-and-design/basic-color-theory) + +> ✅ Be aware, when designing charts, that accessibility is an important aspect of visualization. Some of your users might be color blind - does your chart display well for users with visual impairments? + +Be careful when choosing colors for your chart, as color can convey meaning you might not intend. The 'pink ladies' in the 'height' chart above convey a distinctly 'feminine' ascribed meaning that adds to the bizarreness of the chart itself. + +While [color meaning](https://colormatters.com/color-symbolism/the-meanings-of-colors) might be different in different parts of the world, and tend to change in meaning according to their shade. Generally speaking, color meanings include: + +| Color | Meaning | +| ------ | ------------------- | +| red | power | +| blue | trust, loyalty | +| yellow | happiness, caution | +| green | ecology, luck, envy | +| purple | happiness | +| orange | vibrance | + +If you are tasked with building a chart with custom colors, ensure that your charts are both accessible and the color you choose coincides with the meaning you are trying to convey. +## Styling your charts for readability + +Charts are not meaningful if they are not readable! Take a moment to consider styling the width and height of your chart to scale well with your data. If one variable (such as all 50 states) need to be displayed, show them vertically on the Y axis if possible so as to avoid a horizontally-scrolling chart. + +Label your axes, provide a legend if necessary, and offer tooltips for better comprehension of data. + +If your data is textual and verbose on the X-axis, you can angle the text for better readability. [Matplotlib](https://matplotlib.org/stable/tutorials/toolkits/mplot3d.html) offers 3d plotting, if you data supports it. Sophisticated data visualizations can be produced using `mpl_toolkits.mplot3d`. + +![3d plots](images/3d.png) +## Animation and 3D chart display + +Some of the best data visualizations today are animated. Shirley Wu has amazing ones done with D3, such as '[film flowers](http://bl.ocks.org/sxywu/raw/d612c6c653fb8b4d7ff3d422be164a5d/)', where each flower is a visualization of a movie. Another example for the Guardian is 'bussed out', an interactive experience combining visualizations with Greensock and D3 plus a scrollytelling article format to show how NYC handles its homeless problem by busing people out of the city. + +![busing](images/busing.png) + +While this lesson is insufficient to go into depth to teach these powerful visualization libraries, try your hand at D3 in a Vue.js app using a library to display a visualization of the book "Dangerous Liaisons" as an animated social network. + +> "Les Liaisons Dangereuses" is an epistolary novel, or a novel presented as a series of letters. Written in 1782 by Choderlos de Laclos, it tells the story of the vicious, morally-bankrupt social maneuvers of two dueling protagonists of the French aristocracy in the late 18th century, the Vicomte de Valmont and the Marquise de Merteuil. Both meet their demise in the end but not without inflicting a great deal of social damage. The novel unfolds as a series of letters written to various people in their circles, plotting for revenge or simply to make trouble. Create a visualization of these letters to discover the major kingpins of the narrative, visually. + +You will complete a web app that will display an animated view of this social network. It uses a library that was built to create a [visual of a network](https://github.com/emiliorizzo/vue-d3-network) using Vue.js and D3. When the app is running, you can pull the nodes around on the screen to shuffle the data around. + +![liaisons](images/liaisons.png) +## Project: Build a chart to show a network using D3.js + +> This lesson folder includes a `solution` folder where you can find the completed project, for your reference. + +1. Follow the instructions in the README.md file in the starter folder's root. Make sure you have NPM and Node.js running on your machine before installing your project's dependencies. + +2. Open the `starter/src` folder. You'll discover an `assets` folder where you can find a .json file with all the letters from the novel, numbered, with a 'to' and 'from' annotation. + +3. Complete the code in `components/Nodes.vue` to enable the visualization. Look for the method called `createLinks()` and add the following nested loop. + +Loop through the .json object to capture the 'to' and 'from' data for the letters and build up the `links` object so that the visualization library can consume it: + +```javascript +//loop through letters + let f = 0; + let t = 0; + for (var i = 0; i < letters.length; i++) { + for (var j = 0; j < characters.length; j++) { + + if (characters[j] == letters[i].from) { + f = j; + } + if (characters[j] == letters[i].to) { + t = j; + } + } + this.links.push({ sid: f, tid: t }); + } +``` +Run your app from the terminal (npm run serve) and enjoy the visualization! +## 🚀 Challenge + +Take a tour of the internet to discover deceptive visualizations. How does the author fool the user, and is it intentional? Try correcting the visualizations to show how they should look. +## Post-Lecture Quiz + +[Post-lecture quiz]() + +## Review & Self Study + +Here are some articles to read about deceptive data visualization: + +https://gizmodo.com/how-to-lie-with-data-visualization-1563576606 + +http://ixd.prattsi.org/2017/12/visual-lies-usability-in-deceptive-data-visualizations/ + +Take a look at these interest visualizations for historical assets and artifacts: + +https://handbook.pubpub.org/ + +Look through this article on how animation can enhance your visualizations + +https://medium.com/@EvanSinar/use-animation-to-supercharge-data-visualization-cd905a882ad4 +## Assignment + +[Build your own custom vis](assignment.md) diff --git a/3-Data-Visualization/13-meaningful-visualizations/assignment.md b/3-Data-Visualization/13-meaningful-visualizations/assignment.md new file mode 100644 index 0000000..e53b52a --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/assignment.md @@ -0,0 +1,10 @@ +# Build your own custom vis + +## Instructions + +Using the code sample in this project to create a social network, mock up data of your own social interactions. You could map your usage of social media or make a diagram of your family members. 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and files +.idea +.vscode +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/3-Data-Visualization/13-meaningful-visualizations/solution/README.md b/3-Data-Visualization/13-meaningful-visualizations/solution/README.md new file mode 100644 index 0000000..0e61007 --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/solution/README.md @@ -0,0 +1,26 @@ +# Dangerous Liaisons data visualization project + +To get started, you need to ensure that you have NPM and Node running on your machine. Install the dependencies (npm install) and then run the project locally (npm run serve): + +## Project setup +``` +npm install +``` + +### Compiles and hot-reloads for development +``` +npm run serve +``` + +### Compiles and minifies for production +``` +npm run build +``` + +### Lints and fixes files +``` +npm run lint +``` + +### Customize configuration +See [Configuration Reference](https://cli.vuejs.org/config/). diff --git a/3-Data-Visualization/13-meaningful-visualizations/solution/babel.config.js b/3-Data-Visualization/13-meaningful-visualizations/solution/babel.config.js new file mode 100644 index 0000000..e955840 --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/solution/babel.config.js @@ -0,0 +1,5 @@ +module.exports = { + presets: [ + '@vue/cli-plugin-babel/preset' + ] +} diff --git a/3-Data-Visualization/13-meaningful-visualizations/solution/package-lock.json b/3-Data-Visualization/13-meaningful-visualizations/solution/package-lock.json new file mode 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Volanges", + "to": "Sophie Carnay", + "date": "8/4/17**" + }, + { + "letter_num": 4, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/5/17**", + "location": "Paris" + }, + { + "letter_num": 5, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "8/7/17**", + "location": "Paris" + }, + { + "letter_num": 6, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/9/17**", + "location": "Chateau de…" + }, + { + "letter_num": 7, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "8/7/17**", + "location": "…" + }, + { + "letter_num": 8, + "from": "Présidente de Tourvel", + "to": "Madame de Volanges", + "date": "8/9/17**", + "location": "Chateau de…" + }, + { + "letter_num": 9, + "from": "Madame de Volanges", + "to": "Présidente de Tourvel", + "date": "8/11/17**", + "location": "…" + }, + { + "letter_num": 10, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "8/12/17**", + "location": "…" + }, + { + "letter_num": 11, + "from": "Présidente de Tourvel", + "to": "Madame de Volanges", + "date": "8/13/17**", + "location": "…" + }, + { + "letter_num": 12, + "from": "Cécile Volanges", + "to": "Marquise de Merteuil", + "date": "8/13/17**", + "location": "…" + }, + { + "letter_num": 13, + "from": "Marquise de Merteuil", + "to": "Cécile Volanges", + "date": "8/13/17**", + "location": "…" + }, + { + "letter_num": 14, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "8/14/17**", + "location": "Paris" + }, + { + "letter_num": 15, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/15/17**", + "location": "Chateau de…" + }, + { + "letter_num": 16, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "8/19/17**", + "location": "…" + }, + { + "letter_num": 17, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "8/18/17**", + "location": "…" + }, + { + "letter_num": 18, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "8/20/17**", + "location": "…" + }, + { + "letter_num": 19, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "8/20/17**", + "location": "…" + }, + { + "letter_num": 20, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "8/20/17**", + "location": "…" + }, + { + "letter_num": 21, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/20/17**", + "location": "…" + }, + { + "letter_num": 22, + "from": "Présidente de Tourvel", + "to": "Madame de Volanges", + "date": "8/20/17**", + "location": "…" + }, + { + "letter_num": 23, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/21/17**", + "location": "…", + "notes": "4h am" + }, + { + "letter_num": 24, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "8/20/17**", + "location": "…" + }, + { + "letter_num": 25, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/22/17**", + "location": "Chateau de…" + }, + { + "letter_num": 26, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "8/21/17**", + "location": "…" + }, + { + "letter_num": 27, + "from": "Cécile Volanges", + "to": "Marquise de Merteuil", + "date": "8/23/17**", + "location": "Paris" + }, + { + "letter_num": 28, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "8/23/17**", + "location": "Paris" + }, + { + "letter_num": 29, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "8/24/17**", + "location": "…" + }, + { + "letter_num": 30, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "8/24/17**", + "location": "…" + }, + { + "letter_num": 31, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "8/25/17**", + "location": "…" + }, + { + "letter_num": 32, + "from": "Madame de Volanges", + "to": "Présidente de Tourvel", + "date": "8/24/17**", + "location": "…" + }, + { + "letter_num": 33, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "8/24/17**", + "location": "…" + }, + { + "letter_num": 34, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/25/17**", + "location": "…" + }, + { + "letter_num": 35, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "8/21/17**", + "location": "…" + }, + { + "letter_num": 36, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "8/23/17**", + "location": "Stamped from Dijon" + }, + { + "letter_num": 37, + "from": "Présidente de Tourvel", + "to": "Madame de Volanges", + "date": "8/25/17**", + "location": "…" + }, + { + "letter_num": 38, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "8/27/17**", + "location": "…" + }, + { + "letter_num": 39, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "8/27/17**", + "location": "…" + }, + { + "letter_num": 40, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "none" + }, + { + "letter_num": 41, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "8/26/17**", + "location": "…" + }, + { + "letter_num": 42, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "8/26/17**", + "location": "…" + }, + { + "letter_num": "40-suite", + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/27/17**", + "location": "…" + }, + { + "letter_num": 43, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "8/27/17**", + "location": "…" + }, + { + "letter_num": 44, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/28/17**", + "location": "…" + }, + { + "letter_num": 45, + "from": "Présidente de Tourvel", + "to": "Madame de Volanges", + "date": "8/29/17**", + "location": "…" + }, + { + "letter_num": 46, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "8/29/17**", + "location": "…" + }, + { + "letter_num": 47, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "8/30/17**", + "location": "P…" + }, + { + "letter_num": 48, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "8/30/17**", + "location": "Stamped from Paris" + }, + { + "letter_num": 49, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "8/31/17**", + "location": "…" + }, + { + "letter_num": 50, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/1/17**", + "location": "…" + }, + { + "letter_num": 51, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/2/17**", + "location": "…" + }, + { + "letter_num": 52, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/3/17**", + "location": "…" + }, + { + "letter_num": 53, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/3/17**", + "location": "…" + }, + { + "letter_num": 54, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/4/17**", + "location": "…" + }, + { + "letter_num": 55, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "9/4/17**", + "location": "…" + }, + { + "letter_num": 56, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/5/17**", + "location": "…" + }, + { + "letter_num": 57, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/5/17**", + "location": "…" + }, + { + "letter_num": 58, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/7/17**", + "location": "…" + }, + { + "letter_num": 59, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/8/17**", + "location": "…" + }, + { + "letter_num": 60, + "from": "Chevalier Danceny", + "to": "Vicomte de Valmont", + "date": "9/8/17**", + "location": "…" + }, + { + "letter_num": 61, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "9/7/17**", + "location": "…" + }, + { + "letter_num": 62, + "from": "Madame de Volanges", + "to": "Chevalier Danceny", + "date": "9/7/17**", + "location": "…" + }, + { + "letter_num": 63, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/9/17**", + "location": "…" + }, + { + "letter_num": 64, + "from": "Chevalier Danceny", + "to": "Madame de Volanges", + "date": "9/9/17**", + "location": "…" + }, + { + "letter_num": 65, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "9/9/17**", + "location": "…", + "notes": "letter sent, opened, to Merteuil via Valmont in next letter" + }, + { + "letter_num": 66, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/9/17**", + "location": "…" + }, + { + "letter_num": 67, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/9/17**", + "location": "…" + }, + { + "letter_num": 68, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/10/17**", + "location": "…" + }, + { + "letter_num": 69, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "9/10/17**", + "location": "…", + "notes": "letter oopied by Danceny" + }, + { + "letter_num": 70, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/11/17**", + "location": "…" + }, + { + "letter_num": 71, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/13/17**", + "location": "Chateau de…" + }, + { + "letter_num": 72, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "9/11/17**", + "location": "Paris", + "notes": "sent on the 14th" + }, + { + "letter_num": 73, + "from": "Vicomte de Valmont", + "to": "Cécile Volanges", + "date": "9/14/17**", + "location": "Chateau de…", + "notes": "sent on the 14th in same letter as above" + }, + { + "letter_num": 74, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/15/17**", + "location": "Paris" + }, + { + "letter_num": 75, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "9/14/17**", + "location": "Chateau de…" + }, + { + "letter_num": 76, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/17/17**", + "location": "Chateau de…" + }, + { + "letter_num": 77, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/15/17**", + "location": "…" + }, + { + "letter_num": 78, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/16/17**", + "location": "…" + }, + { + "letter_num": 79, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/18/17**", + "location": "…" + }, + { + "letter_num": 80, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "9/18/17**", + "location": "Paris" + }, + { + "letter_num": 81, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/20/17**", + "location": "…", + "notes": "Vaincre ou perir" + }, + { + "letter_num": 82, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "9/21/17**", + "location": "Chateau de…" + }, + { + "letter_num": 83, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/23/17**", + "location": "Chateau de…" + }, + { + "letter_num": 84, + "from": "Vicomte de Valmont", + "to": "Cécile Volanges", + "date": "9/24/17**", + "location": "…" + }, + { + "letter_num": 85, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/25/17**", + "location": "Chateau de…", + "notes": "au soir" + }, + { + "letter_num": 86, + "from": "Maréchale de ***", + "to": "Marquise de Merteuil", + "date": "9/25/17**", + "location": "Paris", + "notes": "letter included in previous" + }, + { + "letter_num": 87, + "from": "Marquise de Merteuil", + "to": "Madame de Volanges", + "date": "9/26/17**", + "location": "Paris" + }, + { + "letter_num": 88, + "from": "Cécile Volanges", + "to": "Vicomte de Valmont", + "date": "9/26/17**", + "location": "…" + }, + { + "letter_num": 89, + "from": "Vicomte de Valmont", + "to": "Chevalier Danceny", + "date": "9/26/17**", + "location": "Chateau de…" + }, + { + "letter_num": 90, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/27/17**", + "location": "…" + }, + { + "letter_num": 91, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/27/17**", + "location": "…" + }, + { + "letter_num": 92, + "from": "Chevalier Danceny", + "to": "Vicomte de Valmont", + "date": "9/27/17**", + "location": "Paris" + }, + { + "letter_num": 93, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "9/27/17**", + "location": "Paris", + "notes": "attached to preceding letter" + }, + { + "letter_num": 94, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "9/28/17**", + "location": "…" + }, + { + "letter_num": 95, + "from": "Cécile Volanges", + "to": "Vicomte de Valmont", + "date": "9/28/17**", + "location": "…" + }, + { + "letter_num": 96, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/1/17**", + "location": "Chateau de…" + }, + { + "letter_num": 97, + "from": "Cécile Volanges", + "to": "Marquise de Merteuil", + "date": "10/1/17**", + "location": "Chateau de…", + "notes": "seduction of cecile" + }, + { + "letter_num": 98, + "from": "Madame de Volanges", + "to": "Marquise de Merteuil", + "date": "10/2/17**", + "location": "Chateau de…" + }, + { + "letter_num": 99, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/2/17**", + "location": "Chateau de…", + "notes": "au soir" + }, + { + "letter_num": 100, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/3/17**", + "location": "Chateau de…" + }, + { + "letter_num": 101, + "from": "Vicomte de Valmont", + "to": "Azolan, chasseur", + "date": "10/3/17**", + "location": "Chateau de…", + "notes": "attached to preceding letter" + }, + { + "letter_num": 102, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "10/3/17**", + "location": "…", + "notes": "1h in the morning - departure of Tourvel" + }, + { + "letter_num": 103, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/3/17**", + "location": "Chateau de…" + }, + { + "letter_num": 104, + "from": "Marquise de Merteuil", + "to": "Madame de Volanges", + "date": "10/4/17**", + "location": "Paris" + }, + { + "letter_num": 105, + "from": "Marquise de Merteuil", + "to": "Cécile Volanges", + "date": "10/4/17**", + "location": "Paris" + }, + { + "letter_num": 106, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "10/4/17**", + "location": "Paris" + }, + { + "letter_num": 107, + "from": "Azolan, chasseur", + "to": "Vicomte de Valmont", + "date": "10/5/17**", + "location": "Paris", + "notes": "11h pm" + }, + { + "letter_num": 108, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "10/5/17**", + "location": "Paris" + }, + { + "letter_num": 109, + "from": "Cécile Volanges", + "to": "Marquise de Merteuil", + "date": "10/10/17**", + "location": "Chateau de…" + }, + { + "letter_num": 110, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/11/17**", + "location": "Chateau de…" + }, + { + "letter_num": 111, + "from": "Le Comte de Gercourt", + "to": "Madame de Volanges", + "date": "10/10/17**", + "location": "Bastia" + }, + { + "letter_num": 112, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/14/17**", + "location": "Chateau de…", + "notes": "dictated, signed Adelaide" + }, + { + "letter_num": 113, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "10/15/17**", + "location": "Paris" + }, + { + "letter_num": 114, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "10/16/17**", + "location": "Paris" + }, + { + "letter_num": 115, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/19/17**", + "location": "Chateau de…" + }, + { + "letter_num": 116, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "10/17/17**", + "location": "Paris" + }, + { + "letter_num": 117, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "10/18/17**", + "location": "Chateau de…", + "notes": "dictated by Valmont" + }, + { + "letter_num": 118, + "from": "Chevalier Danceny", + "to": "Marquise de Merteuil", + "date": "10/19/17**", + "location": "Paris" + }, + { + "letter_num": 119, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/20/17**", + "location": "Chateau de…" + }, + { + "letter_num": 120, + "from": "Vicomte de Valmont", + "to": "Père Anselme", + "date": "10/22/17**", + "location": "Chateau de…" + }, + { + "letter_num": 121, + "from": "Marquise de Merteuil", + "to": "Chevalier Danceny", + "date": "10/22/17**", + "location": "Chateau de…" + }, + { + "letter_num": 122, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/25/17**", + "location": "Chateau de…" + }, + { + "letter_num": 123, + "from": "Père Anselme", + "to": "Vicomte de Valmont", + "date": "10/25/17**", + "location": "Paris" + }, + { + "letter_num": 124, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "10/25/17**", + "location": "Paris" + }, + { + "letter_num": 125, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/29/17**", + "location": "Paris", + "notes": "success of Valmont w/ Tourvel" + }, + { + "letter_num": 126, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/30/17**", + "location": "Chateau de…" + }, + { + "letter_num": 127, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "10/31/17**", + "location": "Chateau de…" + }, + { + "letter_num": 128, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/1/17**", + "location": "Paris" + }, + { + "letter_num": 129, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/3/17**", + "location": "Paris" + }, + { + "letter_num": 130, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "11/4/17**", + "location": "Chateau de…" + }, + { + "letter_num": 131, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "11/6/17**", + "location": "Chateau de…" + }, + { + "letter_num": 132, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/7/17**", + "location": "Paris" + }, + { + "letter_num": 133, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/8/17**", + "location": "Paris" + }, + { + "letter_num": 134, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "11/11/17*", + "location": "Chateau de…" + }, + { + "letter_num": 135, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/15/17**", + "location": "Paris", + "notes": "valmont w/ prostitute" + }, + { + "letter_num": 136, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "11/15/17**", + "location": "Paris" + }, + { + "letter_num": 137, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "11/15/17**", + "location": "Paris" + }, + { + "letter_num": 138, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/15/17**", + "location": "Paris" + }, + { + "letter_num": 139, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/16/17**", + "location": "Paris", + "notes": "au soir" + }, + { + "letter_num": 140, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/21/17**", + "location": "Paris" + }, + { + "letter_num": 141, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "11/24/17**", + "location": "Chateau de…" + }, + { + "letter_num": 142, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/27/17**", + "location": "Paris" + }, + { + "letter_num": 143, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/27/17**", + "location": "Paris" + }, + { + "letter_num": 144, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/28/17**", + "location": "Paris" + }, + { + "letter_num": 145, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "11/29/17**", + "location": "Chateau de…" + }, + { + "letter_num": 146, + "from": "Marquise de Merteuil", + "to": "Chevalier Danceny", + "date": "11/29/17**", + "location": "Chateau de…" + }, + { + "letter_num": 147, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "11/29/17**", + "location": "Paris" + }, + { + "letter_num": 148, + "from": "Chevalier Danceny", + "to": "Marquise de Merteuil", + "date": "12/1/17**", + "location": "Paris" + }, + { + "letter_num": 149, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/2/17**", + "location": "Paris" + }, + { + "letter_num": 150, + "from": "Chevalier Danceny", + "to": "Marquise de Merteuil", + "date": "12/3/17**", + "location": "Paris" + }, + { + "letter_num": 151, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "12/3/17**", + "location": "Paris" + }, + { + "letter_num": 152, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "12/4/17**", + "location": "Paris" + }, + { + "letter_num": 153, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "12/4/17**", + "location": "Paris", + "notes": "at the bottom, mme de M write 'eh bien, la guerre'" + }, + { + "letter_num": 154, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/5/17**", + "location": "Paris" + }, + { + "letter_num": 155, + "from": "Vicomte de Valmont", + "to": "Chevalier Danceny", + "date": "12/5/17**", + "location": "Paris" + }, + { + "letter_num": 156, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "12/4/17**", + "location": "Paris" + }, + { + "letter_num": 157, + "from": "Chevalier Danceny", + "to": "Vicomte de Valmont", + "date": "12/5/17**", + "location": "Paris" + }, + { + "letter_num": 158, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "12/6/17**", + "location": "Paris" + }, + { + "letter_num": 159, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "12/6/17**", + "location": "Paris" + }, + { + "letter_num": 160, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/6/17**", + "location": "Paris" + }, + { + "letter_num": 161, + "from": "Présidente de Tourvel", + "to": "...", + "date": "12/5/17**", + "location": "Paris", + "notes": "dictated to her maid" + }, + { + "letter_num": 162, + "from": "Chevalier Danceny", + "to": "Vicomte de Valmont", + "date": "12/6/17**", + "location": "Paris", + "notes": "duel challenge" + }, + { + "letter_num": 163, + "from": "M. Bertrand", + "to": "Madame de Rosemonde", + "date": "12/7/17**", + "location": "Paris", + "notes": "death of Valmont" + }, + { + "letter_num": 164, + "from": "Madame de Rosemonde", + "to": "M. Bertrand", + "date": "12/8/17**", + "location": "Chateau de…" + }, + { + "letter_num": 165, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/9/17**", + "location": "Paris", + "notes": "death of Presidente" + }, + { + "letter_num": 166, + "from": "M. Bertrand", + "to": "Madame de Rosemonde", + "date": "12/10/17**", + "location": "Paris" + }, + { + "letter_num": 167, + "from": "Anonyme", + "to": "Chevalier Danceny", + "date": "12/10/17**", + "location": "Paris" + }, + { + "letter_num": 168, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/11/17**", + "location": "Paris" + }, + { + "letter_num": 169, + "from": "Chevalier Danceny", + "to": "Madame de Rosemonde", + "date": "12/12/17**", + "location": "Paris", + "notes": "revelation of letters" + }, + { + "letter_num": 170, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/13/17**", + "location": "Paris", + "notes": "plan to send cecile back to convent" + }, + { + "letter_num": 171, + "from": "Madame de Rosemonde", + "to": "Chevalier Danceny", + "date": "12/13/17**", + "location": "Chateau de…", + "notes": "drop charges" + }, + { + "letter_num": 172, + "from": "Madame de Rosemonde", + "to": "Madame de Volanges", + "date": "12/15/17**", + "location": "Chateau de…" + }, + { + "letter_num": 173, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/18/17**", + "location": "Paris", + "notes": "booing, fever of Merteuil" + }, + { + "letter_num": 174, + "from": "Chevalier Danceny", + "to": "Madame de Rosemonde", + "date": "12/26/17**", + "location": "Paris" + }, + { + "letter_num": 175, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "1/14/17**", + "location": "Paris", + "notes": "downfall of Merteuil" + } +] diff --git a/3-Data-Visualization/13-meaningful-visualizations/solution/src/components/Nodes.vue b/3-Data-Visualization/13-meaningful-visualizations/solution/src/components/Nodes.vue new file mode 100644 index 0000000..d331932 --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/solution/src/components/Nodes.vue @@ -0,0 +1,193 @@ + + + + + diff --git a/3-Data-Visualization/13-meaningful-visualizations/solution/src/main.js b/3-Data-Visualization/13-meaningful-visualizations/solution/src/main.js new file mode 100644 index 0000000..a3fd06b --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/solution/src/main.js @@ -0,0 +1,8 @@ +import Vue from "vue"; +import App from "./App.vue"; + +Vue.config.productionTip = false; + +new Vue({ + render: h => h(App) +}).$mount("#app"); diff --git a/3-Data-Visualization/13-meaningful-visualizations/starter/.gitignore b/3-Data-Visualization/13-meaningful-visualizations/starter/.gitignore new file mode 100644 index 0000000..403adbc --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/starter/.gitignore @@ -0,0 +1,23 @@ +.DS_Store +node_modules +/dist + + +# local env files +.env.local +.env.*.local + +# Log files +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* + +# Editor directories and files +.idea +.vscode +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/3-Data-Visualization/13-meaningful-visualizations/starter/README.md b/3-Data-Visualization/13-meaningful-visualizations/starter/README.md new file mode 100644 index 0000000..0e61007 --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/starter/README.md @@ -0,0 +1,26 @@ +# Dangerous Liaisons data visualization project + +To get started, you need to ensure that you have NPM and Node running on your machine. Install the dependencies (npm install) and then run the project locally (npm run serve): + +## Project setup +``` +npm install +``` + +### Compiles and hot-reloads for development +``` +npm run serve +``` + +### Compiles and minifies for production +``` +npm run build +``` + +### Lints and fixes files +``` +npm run lint +``` + +### Customize configuration +See [Configuration Reference](https://cli.vuejs.org/config/). diff --git a/3-Data-Visualization/13-meaningful-visualizations/starter/babel.config.js b/3-Data-Visualization/13-meaningful-visualizations/starter/babel.config.js new file mode 100644 index 0000000..e955840 --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/starter/babel.config.js @@ -0,0 +1,5 @@ +module.exports = { + presets: [ + '@vue/cli-plugin-babel/preset' + ] +} diff --git a/3-Data-Visualization/13-meaningful-visualizations/starter/package-lock.json b/3-Data-Visualization/13-meaningful-visualizations/starter/package-lock.json new file mode 100644 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+ "location": "…" + }, + { + "letter_num": 55, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "9/4/17**", + "location": "…" + }, + { + "letter_num": 56, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/5/17**", + "location": "…" + }, + { + "letter_num": 57, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/5/17**", + "location": "…" + }, + { + "letter_num": 58, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/7/17**", + "location": "…" + }, + { + "letter_num": 59, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/8/17**", + "location": "…" + }, + { + "letter_num": 60, + "from": "Chevalier Danceny", + "to": "Vicomte de Valmont", + "date": "9/8/17**", + "location": "…" + }, + { + "letter_num": 61, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "9/7/17**", + "location": "…" + }, + { + "letter_num": 62, + "from": "Madame de Volanges", + "to": "Chevalier Danceny", + "date": "9/7/17**", + "location": "…" + }, + { + "letter_num": 63, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/9/17**", + "location": "…" + }, + { + "letter_num": 64, + "from": "Chevalier Danceny", + "to": "Madame de Volanges", + "date": "9/9/17**", + "location": "…" + }, + { + "letter_num": 65, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "9/9/17**", + "location": "…", + "notes": "letter sent, opened, to Merteuil via Valmont in next letter" + }, + { + "letter_num": 66, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/9/17**", + "location": "…" + }, + { + "letter_num": 67, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/9/17**", + "location": "…" + }, + { + "letter_num": 68, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/10/17**", + "location": "…" + }, + { + "letter_num": 69, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "9/10/17**", + "location": "…", + "notes": "letter oopied by Danceny" + }, + { + "letter_num": 70, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/11/17**", + "location": "…" + }, + { + "letter_num": 71, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/13/17**", + "location": "Chateau de…" + }, + { + "letter_num": 72, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "9/11/17**", + "location": "Paris", + "notes": "sent on the 14th" + }, + { + "letter_num": 73, + "from": "Vicomte de Valmont", + "to": "Cécile Volanges", + "date": "9/14/17**", + "location": "Chateau de…", + "notes": "sent on the 14th in same letter as above" + }, + { + "letter_num": 74, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/15/17**", + "location": "Paris" + }, + { + "letter_num": 75, + "from": "Cécile Volanges", + "to": "Sophie Carnay", + "date": "9/14/17**", + "location": "Chateau de…" + }, + { + "letter_num": 76, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/17/17**", + "location": "Chateau de…" + }, + { + "letter_num": 77, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/15/17**", + "location": "…" + }, + { + "letter_num": 78, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/16/17**", + "location": "…" + }, + { + "letter_num": 79, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "9/18/17**", + "location": "…" + }, + { + "letter_num": 80, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "9/18/17**", + "location": "Paris" + }, + { + "letter_num": 81, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/20/17**", + "location": "…", + "notes": "Vaincre ou perir" + }, + { + "letter_num": 82, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "9/21/17**", + "location": "Chateau de…" + }, + { + "letter_num": 83, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/23/17**", + "location": "Chateau de…" + }, + { + "letter_num": 84, + "from": "Vicomte de Valmont", + "to": "Cécile Volanges", + "date": "9/24/17**", + "location": "…" + }, + { + "letter_num": 85, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "9/25/17**", + "location": "Chateau de…", + "notes": "au soir" + }, + { + "letter_num": 86, + "from": "Maréchale de ***", + "to": "Marquise de Merteuil", + "date": "9/25/17**", + "location": "Paris", + "notes": "letter included in previous" + }, + { + "letter_num": 87, + "from": "Marquise de Merteuil", + "to": "Madame de Volanges", + "date": "9/26/17**", + "location": "Paris" + }, + { + "letter_num": 88, + "from": "Cécile Volanges", + "to": "Vicomte de Valmont", + "date": "9/26/17**", + "location": "…" + }, + { + "letter_num": 89, + "from": "Vicomte de Valmont", + "to": "Chevalier Danceny", + "date": "9/26/17**", + "location": "Chateau de…" + }, + { + "letter_num": 90, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "9/27/17**", + "location": "…" + }, + { + "letter_num": 91, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "9/27/17**", + "location": "…" + }, + { + "letter_num": 92, + "from": "Chevalier Danceny", + "to": "Vicomte de Valmont", + "date": "9/27/17**", + "location": "Paris" + }, + { + "letter_num": 93, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "9/27/17**", + "location": "Paris", + "notes": "attached to preceding letter" + }, + { + "letter_num": 94, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "9/28/17**", + "location": "…" + }, + { + "letter_num": 95, + "from": "Cécile Volanges", + "to": "Vicomte de Valmont", + "date": "9/28/17**", + "location": "…" + }, + { + "letter_num": 96, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/1/17**", + "location": "Chateau de…" + }, + { + "letter_num": 97, + "from": "Cécile Volanges", + "to": "Marquise de Merteuil", + "date": "10/1/17**", + "location": "Chateau de…", + "notes": "seduction of cecile" + }, + { + "letter_num": 98, + "from": "Madame de Volanges", + "to": "Marquise de Merteuil", + "date": "10/2/17**", + "location": "Chateau de…" + }, + { + "letter_num": 99, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/2/17**", + "location": "Chateau de…", + "notes": "au soir" + }, + { + "letter_num": 100, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/3/17**", + "location": "Chateau de…" + }, + { + "letter_num": 101, + "from": "Vicomte de Valmont", + "to": "Azolan, chasseur", + "date": "10/3/17**", + "location": "Chateau de…", + "notes": "attached to preceding letter" + }, + { + "letter_num": 102, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "10/3/17**", + "location": "…", + "notes": "1h in the morning - departure of Tourvel" + }, + { + "letter_num": 103, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/3/17**", + "location": "Chateau de…" + }, + { + "letter_num": 104, + "from": "Marquise de Merteuil", + "to": "Madame de Volanges", + "date": "10/4/17**", + "location": "Paris" + }, + { + "letter_num": 105, + "from": "Marquise de Merteuil", + "to": "Cécile Volanges", + "date": "10/4/17**", + "location": "Paris" + }, + { + "letter_num": 106, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "10/4/17**", + "location": "Paris" + }, + { + "letter_num": 107, + "from": "Azolan, chasseur", + "to": "Vicomte de Valmont", + "date": "10/5/17**", + "location": "Paris", + "notes": "11h pm" + }, + { + "letter_num": 108, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "10/5/17**", + "location": "Paris" + }, + { + "letter_num": 109, + "from": "Cécile Volanges", + "to": "Marquise de Merteuil", + "date": "10/10/17**", + "location": "Chateau de…" + }, + { + "letter_num": 110, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/11/17**", + "location": "Chateau de…" + }, + { + "letter_num": 111, + "from": "Le Comte de Gercourt", + "to": "Madame de Volanges", + "date": "10/10/17**", + "location": "Bastia" + }, + { + "letter_num": 112, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/14/17**", + "location": "Chateau de…", + "notes": "dictated, signed Adelaide" + }, + { + "letter_num": 113, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "10/15/17**", + "location": "Paris" + }, + { + "letter_num": 114, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "10/16/17**", + "location": "Paris" + }, + { + "letter_num": 115, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/19/17**", + "location": "Chateau de…" + }, + { + "letter_num": 116, + "from": "Chevalier Danceny", + "to": "Cécile Volanges", + "date": "10/17/17**", + "location": "Paris" + }, + { + "letter_num": 117, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "10/18/17**", + "location": "Chateau de…", + "notes": "dictated by Valmont" + }, + { + "letter_num": 118, + "from": "Chevalier Danceny", + "to": "Marquise de Merteuil", + "date": "10/19/17**", + "location": "Paris" + }, + { + "letter_num": 119, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/20/17**", + "location": "Chateau de…" + }, + { + "letter_num": 120, + "from": "Vicomte de Valmont", + "to": "Père Anselme", + "date": "10/22/17**", + "location": "Chateau de…" + }, + { + "letter_num": 121, + "from": "Marquise de Merteuil", + "to": "Chevalier Danceny", + "date": "10/22/17**", + "location": "Chateau de…" + }, + { + "letter_num": 122, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/25/17**", + "location": "Chateau de…" + }, + { + "letter_num": 123, + "from": "Père Anselme", + "to": "Vicomte de Valmont", + "date": "10/25/17**", + "location": "Paris" + }, + { + "letter_num": 124, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "10/25/17**", + "location": "Paris" + }, + { + "letter_num": 125, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "10/29/17**", + "location": "Paris", + "notes": "success of Valmont w/ Tourvel" + }, + { + "letter_num": 126, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "10/30/17**", + "location": "Chateau de…" + }, + { + "letter_num": 127, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "10/31/17**", + "location": "Chateau de…" + }, + { + "letter_num": 128, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/1/17**", + "location": "Paris" + }, + { + "letter_num": 129, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/3/17**", + "location": "Paris" + }, + { + "letter_num": 130, + "from": "Madame de Rosemonde", + "to": "Présidente de Tourvel", + "date": "11/4/17**", + "location": "Chateau de…" + }, + { + "letter_num": 131, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "11/6/17**", + "location": "Chateau de…" + }, + { + "letter_num": 132, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/7/17**", + "location": "Paris" + }, + { + "letter_num": 133, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/8/17**", + "location": "Paris" + }, + { + "letter_num": 134, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "11/11/17*", + "location": "Chateau de…" + }, + { + "letter_num": 135, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/15/17**", + "location": "Paris", + "notes": "valmont w/ prostitute" + }, + { + "letter_num": 136, + "from": "Présidente de Tourvel", + "to": "Vicomte de Valmont", + "date": "11/15/17**", + "location": "Paris" + }, + { + "letter_num": 137, + "from": "Vicomte de Valmont", + "to": "Présidente de Tourvel", + "date": "11/15/17**", + "location": "Paris" + }, + { + "letter_num": 138, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/15/17**", + "location": "Paris" + }, + { + "letter_num": 139, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/16/17**", + "location": "Paris", + "notes": "au soir" + }, + { + "letter_num": 140, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/21/17**", + "location": "Paris" + }, + { + "letter_num": 141, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "11/24/17**", + "location": "Chateau de…" + }, + { + "letter_num": 142, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/27/17**", + "location": "Paris" + }, + { + "letter_num": 143, + "from": "Présidente de Tourvel", + "to": "Madame de Rosemonde", + "date": "11/27/17**", + "location": "Paris" + }, + { + "letter_num": 144, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "11/28/17**", + "location": "Paris" + }, + { + "letter_num": 145, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "11/29/17**", + "location": "Chateau de…" + }, + { + "letter_num": 146, + "from": "Marquise de Merteuil", + "to": "Chevalier Danceny", + "date": "11/29/17**", + "location": "Chateau de…" + }, + { + "letter_num": 147, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "11/29/17**", + "location": "Paris" + }, + { + "letter_num": 148, + "from": "Chevalier Danceny", + "to": "Marquise de Merteuil", + "date": "12/1/17**", + "location": "Paris" + }, + { + "letter_num": 149, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/2/17**", + "location": "Paris" + }, + { + "letter_num": 150, + "from": "Chevalier Danceny", + "to": "Marquise de Merteuil", + "date": "12/3/17**", + "location": "Paris" + }, + { + "letter_num": 151, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "12/3/17**", + "location": "Paris" + }, + { + "letter_num": 152, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "12/4/17**", + "location": "Paris" + }, + { + "letter_num": 153, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "12/4/17**", + "location": "Paris", + "notes": "at the bottom, mme de M write 'eh bien, la guerre'" + }, + { + "letter_num": 154, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/5/17**", + "location": "Paris" + }, + { + "letter_num": 155, + "from": "Vicomte de Valmont", + "to": "Chevalier Danceny", + "date": "12/5/17**", + "location": "Paris" + }, + { + "letter_num": 156, + "from": "Cécile Volanges", + "to": "Chevalier Danceny", + "date": "12/4/17**", + "location": "Paris" + }, + { + "letter_num": 157, + "from": "Chevalier Danceny", + "to": "Vicomte de Valmont", + "date": "12/5/17**", + "location": "Paris" + }, + { + "letter_num": 158, + "from": "Vicomte de Valmont", + "to": "Marquise de Merteuil", + "date": "12/6/17**", + "location": "Paris" + }, + { + "letter_num": 159, + "from": "Marquise de Merteuil", + "to": "Vicomte de Valmont", + "date": "12/6/17**", + "location": "Paris" + }, + { + "letter_num": 160, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/6/17**", + "location": "Paris" + }, + { + "letter_num": 161, + "from": "Présidente de Tourvel", + "to": "...", + "date": "12/5/17**", + "location": "Paris", + "notes": "dictated to her maid" + }, + { + "letter_num": 162, + "from": "Chevalier Danceny", + "to": "Vicomte de Valmont", + "date": "12/6/17**", + "location": "Paris", + "notes": "duel challenge" + }, + { + "letter_num": 163, + "from": "M. Bertrand", + "to": "Madame de Rosemonde", + "date": "12/7/17**", + "location": "Paris", + "notes": "death of Valmont" + }, + { + "letter_num": 164, + "from": "Madame de Rosemonde", + "to": "M. Bertrand", + "date": "12/8/17**", + "location": "Chateau de…" + }, + { + "letter_num": 165, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/9/17**", + "location": "Paris", + "notes": "death of Presidente" + }, + { + "letter_num": 166, + "from": "M. Bertrand", + "to": "Madame de Rosemonde", + "date": "12/10/17**", + "location": "Paris" + }, + { + "letter_num": 167, + "from": "Anonyme", + "to": "Chevalier Danceny", + "date": "12/10/17**", + "location": "Paris" + }, + { + "letter_num": 168, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/11/17**", + "location": "Paris" + }, + { + "letter_num": 169, + "from": "Chevalier Danceny", + "to": "Madame de Rosemonde", + "date": "12/12/17**", + "location": "Paris", + "notes": "revelation of letters" + }, + { + "letter_num": 170, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/13/17**", + "location": "Paris", + "notes": "plan to send cecile back to convent" + }, + { + "letter_num": 171, + "from": "Madame de Rosemonde", + "to": "Chevalier Danceny", + "date": "12/13/17**", + "location": "Chateau de…", + "notes": "drop charges" + }, + { + "letter_num": 172, + "from": "Madame de Rosemonde", + "to": "Madame de Volanges", + "date": "12/15/17**", + "location": "Chateau de…" + }, + { + "letter_num": 173, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "12/18/17**", + "location": "Paris", + "notes": "booing, fever of Merteuil" + }, + { + "letter_num": 174, + "from": "Chevalier Danceny", + "to": "Madame de Rosemonde", + "date": "12/26/17**", + "location": "Paris" + }, + { + "letter_num": 175, + "from": "Madame de Volanges", + "to": "Madame de Rosemonde", + "date": "1/14/17**", + "location": "Paris", + "notes": "downfall of Merteuil" + } +] diff --git a/3-Data-Visualization/13-meaningful-visualizations/starter/src/components/Nodes.vue b/3-Data-Visualization/13-meaningful-visualizations/starter/src/components/Nodes.vue new file mode 100644 index 0000000..07fad1b --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/starter/src/components/Nodes.vue @@ -0,0 +1,178 @@ + + + + + diff --git a/3-Data-Visualization/13-meaningful-visualizations/starter/src/main.js b/3-Data-Visualization/13-meaningful-visualizations/starter/src/main.js new file mode 100644 index 0000000..a3fd06b --- /dev/null +++ b/3-Data-Visualization/13-meaningful-visualizations/starter/src/main.js @@ -0,0 +1,8 @@ +import Vue from "vue"; +import App from "./App.vue"; + +Vue.config.productionTip = false; + +new Vue({ + render: h => h(App) +}).$mount("#app"); diff --git a/3-Data-Visualization/13-meaningful-visualizations/translations/README.es.md b/3-Data-Visualization/13-meaningful-visualizations/translations/README.es.md new file mode 100644 index 0000000..e69de29