# How to visualize data with Highcharter: exercises

**R-exercises**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

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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”.

**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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