Deep Dive into the seaborn Visualization

Deep Dive into the seaborn Visualization

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1. Light Start

In this section, we will perform preparation tasks for the work!

Reading the File

2. Distributions of Data

In this section, we will study plots used for data distributions!

Kdeplot

3. Categorical Plot Types

It is time to say 'hello' to categorical plot types!

4. Matrix Plots

Colorful matrix plots are waiting for you!

5. Multi-Plot Grids

These fantastic plots consist of other plots. Let's start this section!

6. Regression Models

Let's learn plots that are used for regression models!

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 show code editor

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 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

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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 show code editor

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 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 show code editor

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

Everything was clear?

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.

Task

Swipe to show code editor

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

Section 2. Chapter 2

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

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