03 - One categorical variable.ipynb

Kernel: Python 3

Exercise 3.1: Blood group

The file blood_group.csv contains the blood groups of 1000 randomly sampled people in Edinburgh.

1. Read the data in from the file blood_group.csv.

2. Examine the dataset by printing it out.

3. Create a frequency table of blood groups.

4. Create a relative frequency table of blood groups.

5. Construct a labelled bar plot of blood groups.

%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt

blood = pd.read_csv('blood_group.csv')
blood

freq_table = blood['group'].value_counts()
freq_table

rel_freq_table = blood['group'].value_counts(normalize=True)
rel_freq_table

freq_table.plot.bar(facecolor='w', edgecolor='k')
plt.xlabel('Blood group')
plt.ylabel('Number of people')
plt.title('Frequency of blood groups in 1000 people in Edinburgh');