Data Visualization with Python

Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library