Lecture_40: Seaborn for data visualization - Categorical plots - part_1

We will discuss range of categorical plots in seaborn:
Categorical scatterplots:
Show each observation at each level of the categorical variable.
• stripplot()
• swarmplot()
Categorical distribution plots:
Show an abstract representation of each distribution of observations.
• boxplot()
• violinplot()
• boxenplot()
Categorical estimate plots:
Apply a statistical estimation to show a measure of central tendency and confidence interval.
• barplot()
• countplot()
• pointplot()
Along with above mentioned types of categorical plots, we will also discuss another type of plot, factorplot() (Now know as catplot() in the newer versions of seaborn).

[bhavikakapadia]

Hi sir,
where do I find your notebooks?
I am learning a lot from your tutorial. Thank you