There are 4 repositories under fivethirtyeight topic.
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
R package of data and code behind the stories and interactives at FiveThirtyEight
Historical RAPTOR and other NBA data.
Exploratory data analysis on various datasets from FiveThirtyEight and Udacity coursework
An interactive presidential, senatorial, house, and governor election map for future projections and past results. Written in HTML/CSS/JS
@matthewbrems and I presented "Recreating, Understanding, and Visualizing FiveThirtyEight's Elections Forecast" at PyData DC 2018
Code to package FiveThirtyEight data using Datasette
Data and analysis about the FiveThirtyEight Club Soccer Predictions
Comparing the predictive capability of markets and models
Aggregates FiveThirtyEight polling averages for battleground states
Using web-scraping techniques and Natural Language Processing in order to determine how Reddit submissions are ranked.
A userscript to replace FiveThirtyEight's new mascot character with SatAM Tails.
[2022 midterm elections] Uses FiveThirtyEight election forecasts to find profit opportunities on the prediction market PredictIt
A statistical analysis of Indian movies data set.
The FiveThirtyEight collection of Russian troll tweets published using Datasette
Uses the Spontit API to send push notification updates on 538 poll changes.
Explores FiveThirtyEight's data on the great painter and philosopher, Bob Ross
:us: Python wrapper for Fivethirtyeight's Election Forecasts
My solutions to the FiveThirtyEight Riddler puzzles
2020 Election poll updates
Get football club rankings from 538
A tool that uses current FiveThirtyEight MLB predictions to project the probability of teams' specific end-season outcomes like seeding and playoff opponents. Uses 2020 MLB playoff rules & tiebreakers.
FiveThirtyEight reader responses to a food frequency questionnaire (FFQ).
The scripts I write to solve FiveThirtyEight's weekly riddler.
[On hold until 2024 election] Notifies user of changes in FiveThirtyEight's generic congressional ballot and forecasts
I wanted to determine whether I could develop a profile of customers who sleep separately from their significant other. The business case was to decide which types of customers mattress companies could market two or more beds to. Looking at survey responses like age group and census region, several factors seemed to have relevance to my initial goal. Unfortunately, I found that the current features did not have predictive power. The next steps would be to update the survey to mandatory responses to reduce null values, gather more quantitative data, and classify the open ended responses.
In October 2015, Walt Hickey from FiveThirtyEight published a popular article where he presented strong evidence which suggest that Fandango's movie rating system was biased and dishonest. In this project, we'll analyze more recent movie ratings data to determine whether there has been any change in Fandango's rating system after Hickey's analysis.
The Race for Congress | FiveThirtyEight
Tracking Congress In The Age Of Trump | FiveThirtyEight
How Americans View The Coronavirus Crisis | FiveThirtyEight
2020 Election Forecast | FiveThirtyEight
The Latest Polls and Polling Averages | FiveThirtyEight
Donald Trump's Approval Ratings | FiveThirtyEight