Skip to content

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.

Notifications You must be signed in to change notification settings

ryanschaub/The-U.S.-Mexican-Border-Wall-and-Staffing-A-Statistical-Approach-

Repository files navigation

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.

About

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.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published