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Deep Dive into the seaborn Visualization
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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

Kdeplot

A kdeplot plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.

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

Tarefa

  1. Create the kdeplot using the seaborn library:
  • Set the x parameter equals the 'max_temp';
  • Set the hue parameter equals the 'month';
  • Set the multiple parameter equals the 'stack';
  • Disable the legend;
  • Add the filling;
  • Set the data;
  • Display the plot.

Tarefa

  1. Create the kdeplot using the seaborn library:
  • Set the x parameter equals the 'max_temp';
  • Set the hue parameter equals the 'month';
  • Set the multiple parameter equals the 'stack';
  • Disable the legend;
  • Add the filling;
  • Set the data;
  • Display the plot.

Tudo estava claro?

Seção 2. Capítulo 2
toggle bottom row

Kdeplot

A kdeplot plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.

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

Tarefa

  1. Create the kdeplot using the seaborn library:
  • Set the x parameter equals the 'max_temp';
  • Set the hue parameter equals the 'month';
  • Set the multiple parameter equals the 'stack';
  • Disable the legend;
  • Add the filling;
  • Set the data;
  • Display the plot.

Tarefa

  1. Create the kdeplot using the seaborn library:
  • Set the x parameter equals the 'max_temp';
  • Set the hue parameter equals the 'month';
  • Set the multiple parameter equals the 'stack';
  • Disable the legend;
  • Add the filling;
  • Set the data;
  • Display the plot.

Tudo estava claro?

Seção 2. Capítulo 2
toggle bottom row

Kdeplot

A kdeplot plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.

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

Tarefa

  1. Create the kdeplot using the seaborn library:
  • Set the x parameter equals the 'max_temp';
  • Set the hue parameter equals the 'month';
  • Set the multiple parameter equals the 'stack';
  • Disable the legend;
  • Add the filling;
  • Set the data;
  • Display the plot.

Tarefa

  1. Create the kdeplot using the seaborn library:
  • Set the x parameter equals the 'max_temp';
  • Set the hue parameter equals the 'month';
  • Set the multiple parameter equals the 'stack';
  • Disable the legend;
  • Add the filling;
  • Set the data;
  • Display the plot.

Tudo estava claro?

A kdeplot plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.

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

Tarefa

  1. Create the kdeplot using the seaborn library:
  • Set the x parameter equals the 'max_temp';
  • Set the hue parameter equals the 'month';
  • Set the multiple parameter equals the 'stack';
  • Disable the legend;
  • Add the filling;
  • Set the data;
  • Display the plot.

Seção 2. Capítulo 2
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