You want to apply the filter() function to the variables Cocoa.Percent and Rating. Add the code chunk that lets you filter the data frame for chocolate bars that contain at least 75% cocoa and have a rating of at least 3.9 points.
filter(Cocoa.Percent >= 75, Rating >= 3.9)

To apply the filter() function to a data frame, you need to specify the data frame as the first argument of the function, followed by the conditions that you want to filter on.

How to write the filter()?

case, you can use the following code to filter the data frame for chocolate bars that contain at least 75% cocoa and have a rating of at least 3.9 points:

filter(data_frame, Cocoa.Percent >= 75, Rating >= 3.9)

Replace data_frame with the name of your data frame, and the code should filter the data frame as desired. It is also possible to use the & operator instead of , to combine the conditions in the filter() function, like this:

filter(data_frame, Cocoa.Percent >= 75 & Rating >= 3.9)

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You want to apply the filter() function to the variables Cocoa.Percent and Rating. Add the code chunk that lets you filter the data frame for chocolate bars that contain at least 75% cocoa and have a rating of at least 3.9 points. filter(Cocoa.Percent >= 75, Rating >= 3.9)

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How to write the filter()?

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You want to apply the filter() function to the variables Cocoa.Percent and Rating. Add the code chunk that lets you filter the data frame for chocolate bars that contain at least 75% cocoa and have a rating of at least 3.9 points.
filter(Cocoa.Percent >= 75, Rating >= 3.9)