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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

BarplotBarplot

A barplot represents an estimate of the central tendency for a numeric variable with the height of each rectangle and provides some indication of the uncertainty around that estimate using error bars.

Bar plots include 0 in the quantitative axis range, and they are a good choice when 0 is a meaningful value for the quantitative variable, and you want to make comparisons against it.

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Task

  1. Set the 'ticks' style.
  2. Create the barplot using the seaborn library:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals the 'smoker';
  • Set the linewidth parameter equals 2.5;
  • Set the capsize parameter equals 0.1;
  • Set the 'pink' errcolor parameter;
  • Set the 'magma' palette;
  • Set the data;
  • Display the plot.

Everything was clear?

Section 3. Chapter 5
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