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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
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

bookKdeplot

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.

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Task

  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.

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Section 2. Chapter 2
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bookKdeplot

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

Task

  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.

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 2. Chapter 2
toggle bottom row

bookKdeplot

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

Task

  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.

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 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

Task

  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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 2
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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