Python & Matplotlib: Creating Box Plots Scatter Plots Heatmaps & Pie Charts

Matplotlib can be used to create box-and-whisker plots to display statistics. These dense visualizations pack much information into a compact form including the median 25th and 75th percentiles interquartile range and outliers. In this course youll learn how to work with all aspects of box-and-whisker plots such as the use of confidence-interval notches mean markers and fill color. Youll also build grouped box-and-whisker plots. Next youll create scatter plots and heatmaps powerful tools in exploratory data analysis. Youll build standard scatter plots before customizing various aspects of their appearance. Youll then examine the ideal uses of scatter plots and correlation heatmaps. Youll move on to visualizing composition first using pie charts building charts that explode out specific slices. Lastly youll build treemaps to visualize data with multiple levels of hierarchy.