FUTURE SKILLS BY EMERITUS News: Python, with its flexibility, ease of learning, and a large developer community, has transformed the field of data analysis. In this article, we will ...

Sentiment analysis is an evaluation of the opinion of the speaker, writer or other subject with regard to some topic. In US presidential election 2016, Donald Trump, Hillary Clinton and Bernie Sanders ...

Examples in poli-sci-kit use publicly available Wikidata statistics sourced via the Python package wikirepo.Current examples include: US HoR (Open in Colab). Allocates seats to a version of the US ...

This repository represents all the code written for the research project Hacking the Election: Measuring and Solving Gerrymandering in Today’s Political System. It includes Python and C++ for parsing ...

In this hands-on workshop, you’ll learn the basics of data analysis using Python in Google Colab. We’ll cover how to import and explore datasets, clean and preprocess data, and create simple ...

This study presents a comprehensive analysis of Lok Sabha election results by utilizing data extraction and performance metrics. The research aims to identify trends in voter turnout, party ...

Advanced Data Analysis Techniques. Python’s DataFrame functionality provides a robust framework for conducting advanced statistical analysis. By using these tools, you can uncover patterns ...

Using Python to implement the models. Next, we’ll illustrate how to implement panel data analysis in Python, using a built-in dataset on firms’ performance from the `linearmodels` library that follows ...

Calculations and analysis by CBC News data journalist Jacques Marcoux using Python and PostGIS. Clarifications This story was updated to include a comprehensive data table.

A new MITRE Corporation analysis of eight battleground states’ election results found there was “no evidence of fraud, manipulation, or uncorrected error”—including involving Dominion ...