dPrep - Tilburg University
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reproducible-workflow-template
Public templateIMDB-Binge-Factor
PublicIMDb-ActorInfluence
Publicratings_series_imdb
PublicIMDB_GenreDynamics_Team1
Public- This is a team project for the course Data Preparation and Workflow Management in the masters degree Marketing & Analytics at Tilburg University. The scope of the project is to gain insight in how the prices of Airbnbs differ between the cities Amsterdam, Tokyo and London and how this depend on room type and review score.
- This repository is about analyzing the data of Inside Airbnb for the Team Assignment of the course "Data Prep.&Workflow Mgt at Tilburg University ". Analysis to understand the amount of bedrooms per person has a significant effect on ratings or not.
MovieGenre_IMDbAnalysis
PublicThis repository aims to shed a light on the effect of movie genre on its IMDb popularity score.- This repository in GitHub was created by a group of Master students of Tilburg University, as part of the course "Data Preparation and Workflow Management". Our aim is to control and investigate whether the number of episodes and total seasons in a series, influence the viewer's rating and attitude towards it.
- This repository is created to analyze the connection between genres of movies and their ratings on IMDb. In this project we try to find out if the genre of a movie influences the ratings of these movies and what genres might be superior in terms of ratings.
Investigating-IMDB-data
Public- This repository was made by Denise, Max, Rick and Sjuul. The project focusses on ´Airbnb Analysis of Private Rooms and the Effects Of Reviews´. The project is supervised by Hannes Datta, professor at Tilburg University as part of the course ´Data Preperation & Workflow Management'.