msb-public
/
Data-Science-For-Beginners
mirror of https://github.com/microsoft/Data-Science-For-Beginners.git
1
0
Code Issues Projects Releases Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '6aa3bac052'
${ noResults }
Data-Science-For-Beginners/3-Data-Visualization
History
Jen Looper da88437f14
bee lesson peripherals 		3 years ago
..
10-visualization-quantities completing 1st visualization lesson other than quizzes 3 years ago
11-visualization-distributions lesson 2 for visualizations with all peripherals except quiz 3 years ago
12-visualization-proportions challenge/review/assignment - lesson 12 3 years ago
13-visualization-relationships bee lesson peripherals 3 years ago
14-meaningful-visualizations meaningful vis challenge and assignment 3 years ago
images reworking folder structures and README 3 years ago
translations reworking folder structures and README 3 years ago
README.md starting visualization lesson 3 3 years ago

README.md

Visualizations

a bee on a lavender flower

Photo by Jenna Lee on Unsplash

Visualizing data is one of the most important tasks of a data scientist. Images are worth 1000 words, and a visualization can help you identify all kinds of interesting parts of your data such as spikes, outliers, groupings, tendencies, and more, that can help you understand the story your data is trying to tell.

In these five lessons, you will explore data sourced from nature and create interesting and beautiful visualizations using various techniques.

Topics

  1. Quantities
  2. Distribution
  3. Proportions
  4. Relationships
  5. Making Meaningful Visualizations

Credits

These visualization lessons were written with 🌸 by Jen Looper

🍯 Data for US Honey Production is sourced from Jessica Li's project on Kaggle. The data is derived from the United States Department of Agriculture.

🍄 Data for mushrooms is also sourced from Kaggle revised by Hatteras Dunton. This dataset includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family. Mushroom drawn from The Audubon Society Field Guide to North American Mushrooms (1981). This dataset was donated to UCI ML 27 in 1987.

🦆 Data for Minnesota Birds is from Kaggle scraped from Wikipedia by Hannah Collins.

All these datasets are licensed as CC0: Creative Commons.