06 02 Visualizing Two Quantitative Variables - HannaAA17/Data-Scientist-With-Python-datacamp GitHub Wiki

• relational plots

Intro to relational plots and subplots

• relplot(): to create scatter plots or line plots
• relplot() lets us create subplots in a single figure
• need to specify kind="scatter" or kind="line"

Subplots in row and/or columns

sns.relplot(x='total_bill'
            y='tip',
            data=tips,
            kind='scatter',
            col='smoker',
            row='time')

• wrapping columns: change the number of plot per row
  col_wraps=2
• ordering columns
  col_order=['Mon','Tue','Wed']

Customizing scatter plots

• Subplots (col and row)
• Subgroups with color (hue)
• Subgroups with point size and style: style='smoker' and size='smoker'
• Changing point transparency: alpha=0.4

Introduction to line plots

• adding markers: markers=True
• turning off line style: dashes=False

Multiple observations per x-value

sns.relplot(x='hour', y='NO_2', data=air_df, kind='line')
Shaded region is the confidence interval

• Assumes dataset is a random sample
• 95% confident that the mean is within this interval
• Indicates uncertainty in our estimate
• Replacing confidence interval with standard deviation: ci='sd'
• Turning off confidence in interval: 'ci=None`