Confirming house ads error

Now that you've created a DataFrame that checks whether users see ads in the correct language let's calculate what percentage of users were not being served ads in the right language and plot your results.

This exercise is part of the course

Analyzing Marketing Campaigns with pandas

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Exercise instructions

  • Add a pct column to language_check_df which divides the count where language is correct by the row sum extracted using the .sum() method.
  • Make a line plot with the date as the x-axis and the pct column as the y-axis and show your results.

Hands-on interactive exercise

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

# Divide the count where language is correct by the row sum
language_check_df['pct'] = ____/____

# Plot and show your results
plt.plot(____, ____)
____