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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.

यह अभ्यास पाठ्यक्रम का हिस्सा है

Reshaping Data with tidyr

पाठ्यक्रम देखें

अभ्यास निर्देश

  • 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.

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

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()
कोड संपादित करें और चलाएँ