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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

BoxplotBoxplot

A boxplot is a standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum).

It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

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Task

  1. Set the 'ticks' style with the 'grey' figure.facecolor and 'white' x- & yticks.
  2. Create the boxplot using the seaborn library:
  • Set the x parameter equals the 'distance';
  • Set the y parameter equals the 'method';
  • Set the linewidth parameter equals 2;
  • Set the saturation parameter equals 0.4;
  • Set the 'vlag' palette.

Everything was clear?

Section 3. Chapter 3
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