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Vidushi Gupta 4 years ago committed by GitHub
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R-Data Visualization/Visualizing-Quantities/README.md
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@ -67,7 +67,7 @@ We use the`ggplot2`package for plotting a line graph of the confirmed covid case
The graph looks like this: The graph looks like this:
![Confirmed COVID-19 cases line graph](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/confirmed_line-graph.png) ![Confirmed COVID-19 cases line graph](Graphs/confirmed_line-graph.png)
To make the plot understandable, we can change the Y-axis scales to numbers instead of abbreviated points (abbreviated to e) using the ['scales'](https://scales.r-lib.org/) package. We can also add points, title, customized labels on the line graph for a better presentation. To make the plot understandable, we can change the Y-axis scales to numbers instead of abbreviated points (abbreviated to e) using the ['scales'](https://scales.r-lib.org/) package. We can also add points, title, customized labels on the line graph for a better presentation.
@ -84,7 +84,7 @@ ggplot(df_covid,aes(x=updated, y=confirmed)) +
``` ```
You have now successfully added customized labels to the axes, titled the plot, changed the colour of the line to red and points on the y-axis are now in the numerical format instead of the abbreviated format. You have now successfully added customized labels to the axes, titled the plot, changed the colour of the line to red and points on the y-axis are now in the numerical format instead of the abbreviated format.
![Confirmed COVID-19 cases line graph](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/confirmed_line-graph1.png) ![Confirmed COVID-19 cases line graph](Graphs/confirmed_line-graph1.png)
Similarly, you can now plot the line graphs for the recovered and the deceased cases. Similarly, you can now plot the line graphs for the recovered and the deceased cases.
```r ```r
@ -104,9 +104,9 @@ ggplot(df_covid,aes(x=updated, y=deaths)) +
ggtitle("Deceased COVID-19 cases from Jan 2020 to Nov 2021") + ggtitle("Deceased COVID-19 cases from Jan 2020 to Nov 2021") +
scale_y_continuous(labels=comma) scale_y_continuous(labels=comma)
``` ```
![Recovered COVID-19 cases line graph](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/recovered_line-graph.png) ![Recovered COVID-19 cases line graph](Graphs/recovered_line-graph.png)
![Deceased COVID-19 cases line graph](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/deceased_line-graph.png) ![Deceased COVID-19 cases line graph](Graphs/deceased_line-graph.png)
## Exploring bar graphs ## Exploring bar graphs
@ -122,12 +122,12 @@ ggplot(data=df, aes(x=updated, y=confirmed, fill=confirmed)) +
scale_fill_gradient(low = "green", high = "red",labels = comma) scale_fill_gradient(low = "green", high = "red",labels = comma)
``` ```
![Confirmed cases bar chart](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/confirmed_bar-graph.png) ![Confirmed cases bar chart](Graphs/confirmed_bar-graph.png)
Similarly, we can also make the bar charts for the recovered and the deceased cases in different colours. Similarly, we can also make the bar charts for the recovered and the deceased cases in different colours.
![Recovered cases bar chart](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/recovered_bar-graph.png) ![Recovered cases bar chart](Graphs/recovered_bar-graph.png)
![Deceased cases bar chart](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/deceased_bar-graph.png) ![Deceased cases bar chart](Graphs/deceased_bar-graph.png)
### Stacked Bar Chart ### Stacked Bar Chart
@ -159,7 +159,7 @@ df_covid %>% group_by(updated) %>%
scale_y_continuous(labels=comma) + scale_y_continuous(labels=comma) +
labs(fill="Type of case") labs(fill="Type of case")
``` ```
![COVID-19 cases stacked bar plot](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/stacked-bar-graph.png) ![COVID-19 cases stacked bar plot](Graphs/stacked-bar-graph.png)
## Scatter plot ## Scatter plot
@ -181,7 +181,7 @@ df_covid %>% group_by(updated) %>%
scale_y_continuous(labels=comma) +aes(color=key) scale_y_continuous(labels=comma) +aes(color=key)
``` ```
![Scatter Plot](https://github.com/Vidushi-Gupta/Data-Science-For-Beginners/blob/main/R-Data%20Visualization/Visualizing-Quantities/Graphs/scatter-plot.png) ![Scatter Plot](Graphs/scatter-plot.png)
All these graphs help in clear interpretation and analysis of the COVID-19 data All these graphs help in clear interpretation and analysis of the COVID-19 data
@ -195,4 +195,4 @@ This first lesson has given you some information about how to use ggplot2 to vis
## Assignment ## Assignment
[Line, Bar and Scatter plot]() [Line, Bar and Scatter plot]() yet to be linked

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