fandango

Data processing and visualization project.

Investigated whether Fandango's movie ratings were biased by comparing displayed ratings with underlying scores and competing platforms including IMDb, Rotten Tomatoes, and Metacritic. Used Python, Pandas, and Matplotlib to perform exploratory analysis, visualise rating distributions, and evaluate a published data journalism claim.

Investigating recently aborted Fandango movie rating system for inflation.

Get alerted the moment new IMAX/movie showtimes appear near you. Runs free on GitHub Actions; also a local CLI via pipx.

Extract a feature model from an input specification, select the features to target, and generate valid test inputs in which only those features vary.

The goal is to do comperhensive data analysis on 2 datasets and see if *Fandango*'s ratings in 2015 had a bias towards rating movies better to sell more tickets.

A python project that fetches coming soon movies using web scraping

This is a Data Analysis project on a dataset from Fandango website using python.

Deep dive into Fandango's 2015 movie ratings: uncover stars vs. true scores, vote patterns, yearly trends, and bias vs. Rotten Tomatoes/IMDB. Interactive plots reveal critic-user discrepancies and data insights.​

Flixster — independent third-party profile of a public API surface, by API Evangelist. Flixster is an American movie-discovery and social entertainment brand founded in 2007 that let people rate and review movies, browse local showtimes, watch trailers, and share what they were watching. It grew into one of the largest movie communities on the web