Analyzing Titanic data with plotnine

We will now demonstrate the simplicity of using plotnine for recurring tasks such as exploratory analysis.

First, you need to install the plotnine package. Here are the steps to do that:

1. Open Anaconda Prompt.
2. Switch to your pbi_powerqery_env environment by entering this command: conda activate pbi_powerqery_env.
3. There are two ways to install plotnine: either install the package with the default options with a simple pip install plotnine==0.12.4 or install some extra features with pip install plotnine[all]==0.12.4 (the extra packages installed are scikit-learn and scikit-misc for loess and Gaussian smoothing). The default installation is sufficient for the code you will find in this chapter.

Then, you can import the necessary libraries and functions and load the Titanic data into the df variable with the following code:

import pandas as pd
from plotnine import (
    options, theme_tufte, ggplot, aes, geom_bar...