Imputing sales data

You've been asked to create a report that allows management to compare sales figures per quarter for two years. The problem is that the dataset (sales_df) contains missing values. You'll need to impute the values in the year column so that you can visualize the data.

The ggplot2 package has been pre-loaded for you.

This exercise is part of the course

Reshaping Data with tidyr

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Exercise instructions

Inspect sales_df in the console, pay attention to the year column.
Use the fill() function to impute the year column in the correct direction.
Create a line plot where each year has a different color.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

sales_df %>% 
  # Impute the year column
  ___ %>%
  # Create a line plot with sales per quarter colored by year.
  ggplot(aes(x = ___, y = ___, color = ___, group = year)) +
  geom_line()

Edit and Run Code