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

ClustermapClustermap

A clustermap is a matrix plot with a heatmap and two clustering dendrograms (learn more: Machine Learning).

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Task

  1. Create the clustermap using the seaborn library:
  • Add the data for the clustermap. Input only the name of the DataFrame;
  • Set the 'vlag' cmap;
  • Set the standard_scale parameter equals 1;
  • Set the 'single' method parameter;
  • Set the 'correlation' metric parameter;
  • Add the annot;
  • Set the vmin parameter equals 0 and vmax parameter equals 10;
  • Display the plot.

Everything was clear?

Section 4. Chapter 2
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