Supporting Statistical Analysis for Research

3.3 Relationships between continuous and categorical variables

These exercises use the Mroz.csv data set that was imported in the prior section.

1. Import the Mroz.csv data set.

   from pathlib import Path
   import pandas as pd
   import plotnine as p9

   mroz_path = Path('..') / 'datasets' / 'Mroz.csv'
   mroz = pd.read_csv(mroz_path)
   
   print(mroz.dtypes)

   Unnamed: 0      int64
   lfp            object
   k5              int64
   k618            int64
   age             int64
   wc             object
   hc             object
   lwg           float64
   inc           float64
   dtype: object

2. Create a boxplot for lwg for women who attended college and women who did not.

   print(
       p9.ggplot(mroz, p9.aes(x='wc', y='lwg')) + 
       p9.geom_boxplot() +
       p9.theme_bw())

   <ggplot: (143590674959)>

   

3. Create a boxplot for lwg for men who attended college and men who did not.

   print(
       p9.ggplot(mroz, p9.aes(x='hc', y='lwg')) + 
       p9.geom_boxplot() +
       p9.theme_bw())

   <ggplot: (143590107859)>