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!

Regplot

The regplot is used to plot data and a linear regression model fit. There are a number of mutually exclusive options for estimating the regression model.

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Tarefa

Set the 'darkgrid' style with the 'tan' figure facecolor and 'cornsilk' axes .facecolor.
Create a regplot using the seaborn library:

Set the x parameter equals the 'total_bill';
Set the y parameter equals the 'tip';
Set the marker parameter equals the '+';
Set the 'green' color;
Disable the fit_reg parameter;
Set the data;
Display the plot.

Tudo estava claro?

Seção 6. Capítulo 1

toggle bottom row

Conteúdo do Curso

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

Deep Dive into the seaborn Visualization

Regplot

The regplot is used to plot data and a linear regression model fit. There are a number of mutually exclusive options for estimating the regression model.

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

carousel-img

Tarefa

Set the 'darkgrid' style with the 'tan' figure facecolor and 'cornsilk' axes .facecolor.
Create a regplot using the seaborn library:

Set the x parameter equals the 'total_bill';
Set the y parameter equals the 'tip';
Set the marker parameter equals the '+';
Set the 'green' color;
Disable the fit_reg parameter;
Set the data;
Display the plot.

Tudo estava claro?

Seção 6. Capítulo 1

toggle bottom row

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