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Independent exploration project on U.S. Mexican Border wall, apprehensions, and staffing data publicly released by U.S. Border Patrol and Security. Visualization, statistical analysis, and linear regression are carried out to tell a story.

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Foundations-of-Data-Science-Exploration-Project

Independent exploration project on U.S. Mexican Border wall, apprehensions, and staffing data publicly released by U.S. Border Patrol and Security.

The tools used for the exploration were the Python programming language and code and report were created using jupyter notebooks. The following libraries were used for analysis, visualization and prediction: numpy, matplotlib, and datascience (a UC Berkeley staff- developed library for beginning Data Science students; it is very similar to the pandas library and simply a wrapper of many pandas methods and attributes.

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Independent exploration project on U.S. Mexican Border wall, apprehensions, and staffing data publicly released by U.S. Border Patrol and Security. Visualization, statistical analysis, and linear regression are carried out to tell a story.

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