How to visualize data with Highcharter: exercises
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INTRODUCTION
Highcharter is a R wrapper for Highcharts javascript libray and its modules. Highcharts is very mature and flexible javascript charting library and it has a great and powerful API.
Before proceeding, please follow our short tutorial.
Look at the examples given and try to understand the logic behind them. Then, try to solve the exercises below using R without looking at the answers. Then check the solutions to check your answers.
Exercise 1
Load the mpg dataset and create a basic scatterplot between variables of your choice.
Exercise 2
Group the scatterplot you just created by “class”.
Exercise 3
Use highchart() to create a basic column chart of your choice.
Exercise 4
Add title to the chart of exercise 3.
Exercise 5
Name the bars of your columnchart as years and replace “Series 1” with “Sales”.
- Work extensively with the ggplot package and its functionality
- Learn what visualizations exist for your specific use case
- And much more
Exercise 6
Load the diamonds dataset, create a basic column chart and color it by “cut”.
Exercise 7
Create a columnchart of the “price” with color of your choice.
Exercise 8
Use forecast() on AirPassengers dataset in combination with hchart().
Exercise 9
Create a chloropleth map of the unemployemnt dataset with a colorAxis().
Exercise 10
Change the parameters of the legend with parameters of your choice.
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