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course content

Course Content

Deep Dive into the seaborn Visualization

1. Light Start

Reading the FileColors

2. Distributions of Data

HistplotKdeplotRugplotEcdfplotChallengeDisplot

3. Categorical Plot Types

StripplotSwarmplotBoxplotViolinplotBarplotPointplotChallengeCatplot

4. Matrix Plots

HeatmapClustermap

5. Multi-Plot Grids

FacetGridPairGridJointGrid

6. Regression Models

RegplotLmplot

Deep Dive into the seaborn Visualization

FacetGridFacetGrid

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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Task

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

Everything was clear?

Section 5. Chapter 1
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