Day 21 - Plotting in Seaborn

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        By Jerin Lalichan 


Different categories of plot in Seaborn

    Plots are mainly used to show how different variables relate to one another. These variables can be either wholly numerical or a category like a group, class, or division. Seaborn divides the plot into the below categories.

  1. Relational plots: This plot is used to understand the relation between two variables.

  2. Categorical plots: This plot deals with categorical variables and how they can be visualized.

  3. Distribution plots: This plot is used for examining univariate and bivariate distributions

  4. Regression plots: The regression plots in seaborn are primarily intended to add a visual guide that helps to emphasize patterns in a dataset during exploratory data analyses.

  5. Matrix plots: A matrix plot is an array of scatterplots.

  6. Multi-plot grids: It is a useful approach to draw multiple instances of the same plot on different subsets of the dataset.


Some basic plots using seaborn

Dist plot : 

Seaborn dist plot is used to plot a histogram, with some other variations like kdeplot and rugplot.

Examples:









   
  I am doing a challenge - #66DaysofData  in which I will be learning something new from the Data Science field for 66 days, and I will be posting daily topics on my LinkedIn, On my GitHub repository, and on my blog as well.


Stay Curious!  





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