There appears to be an error in a few of your Metadata columns. All directors in MAIN are listed in a fourth file (PEOPLE), with a number of important producers, writers, and cinematographers. 26 million ratings from over 270,000 users. I’m excited to see what I can find from the data.However just a quick FYI. The Movies Dataset Metadata on over 45,000 movies. A separate file of metadata features is also available. All Disney movies with their release dates, genre, rating, total gross and inflation adjusted gross(2016). This dataset also has files containing 26 million ratings from 270,000 users for all 45,000 movies. Genres that a movie belongs to (eg. Again, thanks for the generous offer!If I can get my kids to plug their brains back in at least temporarily over the summer, will have to come up with some sort of project to try out. Disney has produced many movies, this data has all Disney movies till 2016. I’ve been dreaming of finding a fun data set to get myself out of mommy brain and back into data processing, thank-you!What fun!!! I really want this data for a data science project.Attraction datasets are seprated CSV files. Data on movies is very useful from a statistical learning perspective. I’m just down the road at NC State (also in Psychology). The diverse list of movies was selected, not at random, but to spark student interest and to provide a range of box office values. These identifiers may change in successive versions. I’m guessing you don’t want to release the “actuals” that your app users have submitted?We’re happy to provide actual wait times. The values provide a rich dataset to use for applications such as simple graphical analysis, a variety of time series and causal forecasting models, curve-fitting, and rate of change analysis. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Disney characters, box office success & annual gross income I think I will reach out to her. Walt Disney Animation Studios (WDAS) has released the complete data set for Motunui island from its 2016 animated feature Moana, including the ocean, coral, trees and other vegetation.. Data points include cast, crew, plot keywords, budget, revenue, posters, release dates, languages, production companies, countries, TMDB vote counts and vote averages. Thanks again for sharing!PS – I’d love to have that data to merge with the wait times data. The sixth file (STUDIOS) provides some information about studios shown in MAIN. AKOPENYEST and AKCLOSEYEST) do have a calculated value in the next column (i.e.

Instructors of statistics & machine learning programs use movie data instead of dryer & more esoteric data sets to explain key concepts. The data – a version of the actual scene used in production, modified to make it possible to render without proprietary tools – is intended for use as a standard dataset for testing rendering algorithms. Netflix Prize data. Should I ask Alexis or is that something I should reach out to you all for? I used it for my capstone project project for a HarvardX Data Science certificate looking at Expedition Everest wait times (descriptive stats,, regression, and application of Machine Learning algorithms). To create one data file containing all the desired information Wickham wrote a script in the ruby to extract the relevant information and store in a database. The diverse list of movies was selected, not at random, but to spark student interest and to provide a range of box office values. Instead of there being some type of calculation of the difference between the previous two columns, (i.e. AKHOURSYEST).Sorry about that, Mike. Unfortunately, the data is divided into many text files and the format of each file differs slightly.

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