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GitHub / aadams149 3 repositories

Data Analyst @ USAC. MS-DSPP '22 @ McCourt School of Public Policy at Georgetown University. Email me at [email protected].

This repository contains all the data and files used in my personal website, accessible at the link below.

Language: HTML - Size: 116 MB - Last synced: 28 days ago - Pushed: 28 days ago - Stars: 0 - Forks: 0

Single-function R package for implementing the Huntington-Hill method of legislative seat allocation

Language: R - Size: 8.79 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

Code and maps for the 2023 30-Day Map Challenge

Language: HTML - Size: 62.3 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

Julie Adams's Professional Website

Language: CSS - Size: 89.5 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

Source code for Twitter's Recommendation Algorithm

Size: 114 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

An attempt at coding election simulators for various methods of voting

Language: Jupyter Notebook - Size: 10.7 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Alex Adams's Forked Copy of the Starting With Today project Repo from the Oct 22 2022 Datakind DC Hackathon

Language: R - Size: 80.1 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Alexander Adams - Final Project for PPOL628 Text as Data: Computational Linguistics

Language: Jupyter Notebook - Size: 43.4 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

Visualizing and assessing the impact of local public health social media on COVID-19 outcomes across U.S. counties, Jan 2020-Dec 2021

Language: R - Size: 97.3 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

This is a personal portfolio of data visualizations, shiny apps, and other assorted projects.

Language: HTML - Size: 72.7 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

Using machine learning algorithms from scikit-learn to predict county-level outcomes in the 2016 U.S. presidential election

Language: Jupyter Notebook - Size: 168 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

Using machine learning algorithms from scikit-learn to predict support for government-provided vs private sector-provided healthcare.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0