Seaborn Data Visualization

The notebook contains all the useful types of plots, classifications and syntax on how to use them

Datasets Used:

1. bike_share.csv
2. college_data.csv
3. countries-of-the-world.csv
4. daily_show_guests_cleaned.csv
5. insurance_premiums.csv
6. mpg.csv
7. schoolimporovement2010grants.csv
8. student-alcohol-consumption.csv
9. young-people-survey-response.csv

Table of content:

1. Distribution Plot with types like kde, rug, fill, cdfe
2. Regression Plot using regplot and lmplot
3. Relational Plots
   1. Scatter Plot
   2. Line Plot
4. Categorical Plots
   1. Count Plot
   2. Box Plot
   3. Point Plot
5. Joint Grid and Joint Plot : The Ultimate Plot
6. Styling the plot using set and set_style
7. Removing axes using despine
8. Generating and plotting color palettes using color_palette and palplot
9. Styling the axes for labels, limits using set and plt.subplots()
10. Plot titles, labels and rotations using xticks(rotate=90)