Visualize conversion rate by language
When you calculated conversion rate by age group in the previous exercise, you printed out a DataFrame called language_conversion_rate
containing your results. While this table provided useful information, it is much easier to compare relative conversion rates visually.
It is critical for data scientists to communicate results clearly to business stakeholders. A strong foundation in data visualization is a key aspect to conveying results, especially when engaging with people who are not as comfortable interpreting data on their own.
In this exercise, you will build upon the work you did to create language_conversion_rate
by visualizing your results in a bar chart.
Este ejercicio forma parte del curso
Analyzing Marketing Campaigns with pandas
Instrucciones del ejercicio
- Create a bar chart using the
language_conversion_rate
DataFrame. - Add the title
'Conversion rate by language\n'
to your chart with font size 16. - Add an x-axis label,
'Language'
, and a y-axis label,'Conversion rate (%)'
, both with font size 14. - Display the plot.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Create a bar chart using language_conversion_rate DataFrame
language_conversion_rate.____
# Add a title and x and y-axis labels
plt.____('____', size = ____)
plt.____('____', size = ____)
plt.____('____', size = ____)
# Display the plot
____