Plotting function

Now that you've looked at conversion rate by age, you want to see if that trend has changed over time. Marketing has been changing their strategy and wants to make sure that their new method isn't alienating age groups that are less comfortable with their product. However, to do so, you need to create a plotting function to make it easier to visualize your results.

In this exercise, you will build a function to plot the results of your conversion rate function.

This exercise is part of the course

Analyzing Marketing Campaigns with pandas

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Exercise instructions

Create a for loop for each column in the dataframe.
Plot a line chart of the column by the DataFrame's index.
Show the plot.

Hands-on interactive exercise

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

def plotting_conv(dataframe):
    for ____ in ____:
        # Plot column by dataframe's index
        ____
        plt.title('Daily ' + str(column) + ' conversion rate\n', 
                  size = 16)
        plt.ylabel('Conversion rate', size = 14)
        plt.xlabel('Date', size = 14)
        # Show plot
        ____  
        plt.clf()

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