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Deep Dive into the seaborn Visualization

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In statistics, a categorical variable is a variable that can take on one of a limited and usually fixed number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.

A stripplot is a single-axis scatter plot that is used to visualize the distribution of many individual one-dimensional values. The values are plotted as dots along one unique axis, and the dots with the same value can overlap.

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Tâche

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  1. Set the 'whitegrid' style with the 'aliceblue' axes.facecolor.
  2. Create the stripplot 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 size parameter equals 20;
  • Set the 'crest' palette;
  • Set the 'D' marker;
  • Set the alpha parameter equals 0.25.

Solution

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Section 3. Chapitre 1
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In statistics, a categorical variable is a variable that can take on one of a limited and usually fixed number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.

A stripplot is a single-axis scatter plot that is used to visualize the distribution of many individual one-dimensional values. The values are plotted as dots along one unique axis, and the dots with the same value can overlap.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img
Tâche

Swipe to start coding

  1. Set the 'whitegrid' style with the 'aliceblue' axes.facecolor.
  2. Create the stripplot 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 size parameter equals 20;
  • Set the 'crest' palette;
  • Set the 'D' marker;
  • Set the alpha parameter equals 0.25.

Solution

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Section 3. Chapitre 1
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