Creating a bar plot
Las Vegas hotels are seeing large variations in how helpful reviews appear to other people. The owners of these hotels are curious if there are times of the year when reviews have been more helpful to their potential guests. Help the owners understand their reviews better by creating a bar plot of the average number of helpful votes per review across the categorical variable "Period of stay"
. The dataset reviews
has been preloaded for you.
This exercise is part of the course
Working with Categorical Data in Python
Exercise instructions
- Print out the frequency counts of the variable
"Period of stay"
to make sure each category has data. - Create a bar plot using
catplot()
. - Split the
reviews
dataset on"Period of stay"
across the x-axis. - Specify the numerical variable to aggregate on as
"Helpful votes"
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the frequency counts of "Period of stay"
print(reviews[____].____)
sns.set(font_scale=1.4)
sns.set_style("whitegrid")
# Create a bar plot of "Helpful votes" by "Period of stay"
sns.catplot(____)
plt.show()