Data Visualization using Python

Different use cases

• Using tqdm library to track the progress of an iteration
• Histogram with boxplot on top
• Using matplotlib subplots
• Create horizontal bargraph with different set of colors for values greter than mean value
• Representing missing dates in a range of dates

Charts using Plotly

• Plotting using Plotly express
• Pandas visualization with plotly backend

Basic Charts using Seaborn

• Seaborn: Introduction
• Countplot and Bargraph
• Scatterplot
• Regplot
• Lmplot
• Histogram
• Jointplot
• Heatmap
• Boxplot
• FacetGrid
• Pairplot
• Stacked area plot
• QQ Plot
• Residplot
• Line plot
• Catplot and Jointplot

Advanced Chart types

• Running barcharts
• Python Dataframe styling