Lecture 26 – Visualizing Numerical Variables

Data 94, Spring 2021

In [1]:
from datascience import *
import numpy as np
import seaborn as sns

Table.interactive_plots()

Review: bar charts

In [2]:
tips = Table.from_df(sns.load_dataset('tips'))
tips
Out[2]:
total_bill tip sex smoker day time size
16.99 1.01 Female No Sun Dinner 2
10.34 1.66 Male No Sun Dinner 3
21.01 3.5 Male No Sun Dinner 3
23.68 3.31 Male No Sun Dinner 2
24.59 3.61 Female No Sun Dinner 4
25.29 4.71 Male No Sun Dinner 4
8.77 2 Male No Sun Dinner 2
26.88 3.12 Male No Sun Dinner 4
15.04 1.96 Male No Sun Dinner 2
14.78 3.23 Male No Sun Dinner 2

... (234 rows omitted)

In [3]:
tips.group('time').barh('time')