Describe time series data with boxplots
You should always explore the distribution of the variables, and because you are working with time series, you will explore their properties using boxplots and numerical summaries. As a reminder, you can plot data in a DataFrame as boxplots with the command:
df.boxplot(fontsize=6, vert=False)
Notice the introduction of the new parameter vert, which specifies whether to plot the boxplots horizontally or vertically.
This exercise is part of the course
Visualizing Time Series Data in Python
Exercise instructions
- Generate a boxplot of all the time series in
jobs. - Print out a numerical statistical summary of all the time series in
jobs. - Review the results and print the name of the time series with the highest mean value and with the most variability (i.e., with the highest standard deviation).
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Generate a boxplot
____.____(fontsize=6, vert=False)
plt.show()
# Generate numerical summaries
print(____)
# Print the name of the time series with the highest mean
print(____)
# Print the name of the time series with the highest variability
print(____)