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Deep Dive into the seaborn Visualization
course content

Contenido del Curso

Deep Dive into the seaborn Visualization

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

bookFacetGrid

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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

Tarea

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 5. Capítulo 1
toggle bottom row

bookFacetGrid

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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

Tarea

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 5. Capítulo 1
toggle bottom row

bookFacetGrid

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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

Tarea

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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

Tarea

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 5. Capítulo 1
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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