Data Science Basics: Bivariate Data Visualization

Live Jupyter walk-through of basic bivariate data visualization in Python with the matplotlib and Seaborn package. I start from a simple scatter plot and incrementally add complexity with attention to design and composition of plotting elements for improved communication. This should be enough to get anyone started building data analytics workflows in Python.

The demonstrated workflow is available at: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/PythonDataBasics_Bivariate_Visualization.ipynb

and the data set is available at: https://github.com/GeostatsGuy/GeoDataSets/blob/master/nonlinear_facies_v1.csv

#DataAnalytics #DataVisualization #DataScience #Statistics
Web design
Be the first to comment