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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

HistplotHistplot

The distributions module contains several functions designed to answer questions such as these. The axes-level functions are histplot, kdeplot, ecdfplot, and rugplot. They are grouped together within the figure-level displot function.

A histplot is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.

Click the slider to view possible arguments for the plot!

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Don't forget to return back after exploring the dataset!

Note

Use plt.show() to display the plot.

Task

  1. Create the histplot using the seaborn library:
  • Set the x parameter equals the 'bill_length_mm';
  • Set the hue parameter equals the 'island';
  • Set the element parameter equals the 'step';
  • Set the stat parameter equals the 'density';
  • Set the binwidth parameter equals 1;
  • Set the 'flare' palette;
  • Use the df data for the plot;
  • Display the plot.

Everything was clear?

Section 2. Chapter 1
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