Deep Dive into the seaborn Visualization

Course Content

Deep Dive into the seaborn Visualization

Deep Dive into the seaborn Visualization

1. Light Start

Reading the File Colors

2. Distributions of Data

Histplot Kdeplot Rugplot Ecdfplot Challenge Displot

3. Categorical Plot Types

Stripplot Swarmplot Boxplot Violinplot Barplot Pointplot Challenge Catplot

4. Matrix Plots

Heatmap Clustermap

5. Multi-Plot Grids

FacetGrid PairGrid JointGrid

6. Regression Models

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.

Task

Swipe to start coding

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.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 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.

Task

Swipe to start coding

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.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 2

Switch to desktop for real-world practiceContinue from where you are using one of the options below

some-alt