Reactive variables reduce code duplication

In the previous exercises, the code to filter gapminder according to the input values is duplicated three times: once in the table, once in the plot, and once in the download handler.

Reactive variables can be used to reduce code duplication, which is generally a good idea because it makes maintenance easier.

The duplicated code chunks that filter the data have been removed. Your task is to add a reactive variable that filters the data, and use this variable instead. Specifically:

Create a reactive variable named filtered_data by using the reactive() function that uses the filtering code from the previous exercise (line 15).
Use the reactive variable to render the table output, the plot output, and the download file (lines 33, 42, and 50).

Exercise

Reactive variables reduce code duplication

Instructions