Visualize daily conversion rate
Now that your formatted the data into a more manageable format for visualization, you will proceed to create a line chart. Strong visualization skills are crucial for a data scientist because it will allow you and your marketing stakeholders to derive deeper insights from the data. In this case, creating a line plot will make it much easier to notice peaks and valleys in our conversion rate over time as well as any overall trends.
This exercise is part of the course
Analyzing Marketing Campaigns with pandas
Exercise instructions
- Create a line chart using the
daily_conversion_rateDataFrame. - Set the y-axis of your chart to begin at 0.
- Display the chart.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a line chart using daily_conversion_rate
daily_conversion_rate.____
plt.title('Daily conversion rate\n', size = 16)
plt.ylabel('Conversion rate (%)', size = 14)
plt.xlabel('Date', size = 14)
# Set the y-axis to begin at 0
____
# Display the plot
____