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Lære Histplot | Distributions of Data
Deep Dive into the seaborn Visualization
course content

Kursusindhold

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

book
Histplot

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.

Opgave

Swipe to start coding

  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.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 2. Kapitel 1
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book
Histplot

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!

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

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

Note

Use plt.show() to display the plot.

Opgave

Swipe to start coding

  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.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 2. Kapitel 1
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
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