Visualizing daily marketing reach
In the previous exercise, you created a daily_users DataFrame, which contained the number of users who subscribed each day. While this was a great first step, it is challenging to interpret daily trends by looking at a table. To make it easier for you and your business stakeholders to notice subscriber trends, you will visualize your results using a line plot.
This exercise is part of the course
Analyzing Marketing Campaigns with pandas
Exercise instructions
- Use the
.plot()method to visualize the results ofdate_served. - Add the title
'Daily users'and the y-axis label'Number of users'. - Rotate the x-axis labels by 45 degrees.
- Display the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot daily_users
daily_users.____
# Include a title and y-axis label
plt.____('____')
plt.____('____')
# Rotate the x-axis labels by 45 degrees
plt.____(____)
# Display the plot
plt.____()