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Violinplot | Categorical Plot Types
Deep Dive into the seaborn Visualization
course content

Course Content

Deep Dive into the seaborn Visualization

Deep Dive into the seaborn Visualization

1. Light Start
2. Distributions of Data
3. Categorical Plot Types
4. Matrix Plots
5. Multi-Plot Grids
6. Regression Models

bookViolinplot

A violinplot is a hybrid of a box plot and a kernel density plot, which shows peaks in the data. It is used to visualize the distribution of numerical data. Unlike a box plot that can only show summary statistics, violin plots depict summary statistics and the density of each variable.

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Task

  1. Create a violinplot using the g variable:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals 'sex';
  • Set the 'rocket' palette;
  • Set the split parameter;
  • Set the inner parameter equals the 'point';
  • Set the bw parameter equals the 0.2.
  1. Set the title for the plot: 'Tips violinplot'.

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Section 3. Chapter 4
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bookViolinplot

A violinplot is a hybrid of a box plot and a kernel density plot, which shows peaks in the data. It is used to visualize the distribution of numerical data. Unlike a box plot that can only show summary statistics, violin plots depict summary statistics and the density of each variable.

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

Task

  1. Create a violinplot using the g variable:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals 'sex';
  • Set the 'rocket' palette;
  • Set the split parameter;
  • Set the inner parameter equals the 'point';
  • Set the bw parameter equals the 0.2.
  1. Set the title for the plot: 'Tips violinplot'.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 4
toggle bottom row

bookViolinplot

A violinplot is a hybrid of a box plot and a kernel density plot, which shows peaks in the data. It is used to visualize the distribution of numerical data. Unlike a box plot that can only show summary statistics, violin plots depict summary statistics and the density of each variable.

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

Task

  1. Create a violinplot using the g variable:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals 'sex';
  • Set the 'rocket' palette;
  • Set the split parameter;
  • Set the inner parameter equals the 'point';
  • Set the bw parameter equals the 0.2.
  1. Set the title for the plot: 'Tips violinplot'.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

A violinplot is a hybrid of a box plot and a kernel density plot, which shows peaks in the data. It is used to visualize the distribution of numerical data. Unlike a box plot that can only show summary statistics, violin plots depict summary statistics and the density of each variable.

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

Task

  1. Create a violinplot using the g variable:
  • Set the x parameter equals the 'day';
  • Set the y parameter equals the 'total_bill';
  • Set the hue parameter equals 'sex';
  • Set the 'rocket' palette;
  • Set the split parameter;
  • Set the inner parameter equals the 'point';
  • Set the bw parameter equals the 0.2.
  1. Set the title for the plot: 'Tips violinplot'.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 4
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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