This Repository involves: Graphically representing data using matplotlib, seaborn and plotly. Plotting univariate and bivariate distributions using matplotlib and seaborn. Creating Hex Bin Plots, Kernel density estimation and visualizing pairwise relationships in a dataset. Creating Boxplots, Bar plots, using jitters and swarmplot to see full distribution of data. Drawing multi-panel categorical plots, using lmplot for linear regression.
The following plots are used to Visualise the Data: Histogram (Distplot), Joint Plot, Pair Plot, Stripplot, Swarmplot, Box Plot, Bar Plot, Count Plot, Point Plot, Cat Plot, lm Plot, Scatter Plot, Violin Plot, Pie