Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn

Seaborns smartly designed interface lets you illuminate data through aesthetically pleasing statistical graphics that are incredibly easy to build. In this course youll discover Seaborns capabilities. Youll begin using strip plots and swarm plots and recognizing how they work together using low-intensity noise. Youll then work with time series data through various techniques like resampling data at different time frequencies and plotting with confidence intervals and other types of error bars. Next youll visualize both logistic and linear regression curves. Moving on youll use the pairplot function to visualize the relationships between columns in your data taken two at a time in a grid format. Youll change the chart type being visualized and create pair plots with multiple chart types in each plot. Lastly youll create and format a heatmap of a correlation matrix to identify relationships between dataset columns.