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!

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

PairGrid

PairGrid is a subplot grid for plotting pairwise relationships in a dataset.

This object maps each variable in a dataset onto a column and row in a grid of multiple axes. Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, and then the marginal distribution of each variable can be shown on the diagonal.

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Task

Set the 'ticks' style with the 'lightpink' figure.facecolor.
Create a PairGrid variable using g:

Set the data for the g;
Set the hue parameter equals the 'species';
Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

Create a histplot using the seaborn;
Add the kde parameter.

Set non-diagonale plots using the .map_offdiag() function:

Create a scatterplot using the seaborn;
Set the linewidth parameter equals 0.9;
Set the 'purple' edgecolor parameter.

Task

Set the 'ticks' style with the 'lightpink' figure.facecolor.
Create a PairGrid variable using g:

Set the data for the g;
Set the hue parameter equals the 'species';
Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

Create a histplot using the seaborn;
Add the kde parameter.

Set non-diagonale plots using the .map_offdiag() function:

Create a scatterplot using the seaborn;
Set the linewidth parameter equals 0.9;
Set the 'purple' edgecolor parameter.

Everything was clear?

Section 5. Chapter 2

toggle bottom row

PairGrid

PairGrid is a subplot grid for plotting pairwise relationships in a dataset.

This object maps each variable in a dataset onto a column and row in a grid of multiple axes. Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, and then the marginal distribution of each variable can be shown on the diagonal.

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

Task

Set the 'ticks' style with the 'lightpink' figure.facecolor.
Create a PairGrid variable using g:

Set the data for the g;
Set the hue parameter equals the 'species';
Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

Create a histplot using the seaborn;
Add the kde parameter.

Set non-diagonale plots using the .map_offdiag() function:

Create a scatterplot using the seaborn;
Set the linewidth parameter equals 0.9;
Set the 'purple' edgecolor parameter.

Task

Set the 'ticks' style with the 'lightpink' figure.facecolor.
Create a PairGrid variable using g:

Set the data for the g;
Set the hue parameter equals the 'species';
Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

Create a histplot using the seaborn;
Add the kde parameter.

Set non-diagonale plots using the .map_offdiag() function:

Create a scatterplot using the seaborn;
Set the linewidth parameter equals 0.9;
Set the 'purple' edgecolor parameter.

Everything was clear?

Section 5. Chapter 2

toggle bottom row

PairGrid

PairGrid is a subplot grid for plotting pairwise relationships in a dataset.

This object maps each variable in a dataset onto a column and row in a grid of multiple axes. Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, and then the marginal distribution of each variable can be shown on the diagonal.

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

Task

Set the 'ticks' style with the 'lightpink' figure.facecolor.
Create a PairGrid variable using g:

Set the data for the g;
Set the hue parameter equals the 'species';
Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

Create a histplot using the seaborn;
Add the kde parameter.

Set non-diagonale plots using the .map_offdiag() function:

Create a scatterplot using the seaborn;
Set the linewidth parameter equals 0.9;
Set the 'purple' edgecolor parameter.

Task

Set the 'ticks' style with the 'lightpink' figure.facecolor.
Create a PairGrid variable using g:

Set the data for the g;
Set the hue parameter equals the 'species';
Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

Create a histplot using the seaborn;
Add the kde parameter.

Set non-diagonale plots using the .map_offdiag() function:

Create a scatterplot using the seaborn;
Set the linewidth parameter equals 0.9;
Set the 'purple' edgecolor parameter.

Everything was clear?

PairGrid is a subplot grid for plotting pairwise relationships in a dataset.

This object maps each variable in a dataset onto a column and row in a grid of multiple axes. Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, and then the marginal distribution of each variable can be shown on the diagonal.

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

Task

Set the 'ticks' style with the 'lightpink' figure.facecolor.
Create a PairGrid variable using g:

Set the data for the g;
Set the hue parameter equals the 'species';
Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

Create a histplot using the seaborn;
Add the kde parameter.

Set non-diagonale plots using the .map_offdiag() function:

Create a scatterplot using the seaborn;
Set the linewidth parameter equals 0.9;
Set the 'purple' edgecolor parameter.

Section 5. Chapter 2

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