Most used words on twitter by candidates for election in Brazil 2022 using Python with tweepy, nltk and spacy

Highlighting abnormal voting patterns of the 2020 Presidential Election

Analysis of multi-pass IRV elections, a problematic multi-winner form of RCV

Use of basic Python to analyze profits/losses for a hypothetical company as well as examine results of a hypothetical election.

In this project i analysed sentiment on political reviews related to Narendra Modi and Rahul Gandhi. It uses natural language processing techniques to clean and analyze text data, assigning sentiment labels ('positive,' 'negative,' 'neutral') to reviews.

Code and data used in analysis of 2019 Bolivian elections

Use Python to analyze financial records and calculate the net amount of profit or loss over a period of time. PyPoll: Update a rural town's voting process by tallying votes and determining the winner of an election.

Naive analysis of the effect of age distribution of voters on Thailand election 2019

Exploring #elxn43 Twitter data

Local election results and trends analysis with python.

Analyzes the changes between the 2020 Presidential and 2022 Gubernatorial Elections

European Parliament national election systems; as json and html file; together with references to the applicable national laws.

2020 Election poll updates

A freelance project by a few data scientists that explores the relationship between American voting rights and election outcomes.

In this homework assignment, I encompass a real-world situations where my Python scripting skills can come in handy.

Optimizing 2020 Presidential Election Polling Locations project from the class DSC 170: Spatial Data Science at UCSD.

NU Bootcamp Module 3

An interactive VueJS + ChartJS visualiser for analysing UK General Election Data

Volunteer Election Analytics for Jamie McLeod-Skinner (Oregon's 2nd Congressional District election, 2018) 🍩

Riding-indexed .csv results for the 2015 and 2019 Canadian Federal Elections and some simple insights from the data.