House ads conversion rate
The house ads team has become worried about some irregularities they've noticed in conversion rate. It is common for stakeholders to come to you with concerns they've noticed around changing metrics. As a data scientist, it's your job to determine whether these changes are natural fluctuations or if they require further investigation.
In this exercise, you'll try out your conversion_rate() and plotting_conv() functions out on marketing looking at conversion rate by 'date_served' and 'marketing_channel'.
This exercise is part of the course
Analyzing Marketing Campaigns with pandas
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate conversion rate by date served and channel
daily_conv_channel = ____
print(daily_conv_channel.head())