collection
data-movies
| collection | data-movies | |
|---|---|---|
| 4 | 1 | |
| 1,361 | 204 | |
| 0.8% | - | |
| 6.5 | 10.0 | |
| 11 days ago | over 4 years ago | |
| Ruby | ||
| Creative Commons Zero v1.0 Universal | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
collection
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Show HN: I Made a Visualization of MoMA Artists of 20 Century
I took the official dataset () from MoMA and visualized the artists who have at least one drawing in the museum's collection and lived in 20 century.
The X axis represents the year of birth, Y — lifespan, size — count of works, color — gender.
() https://github.com/MuseumofModernArt/collection/tree/master
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Demo video for our WIP 'Virtual Gallery (VR)' Technology, 'Portico'
Portico takes published museum collection data and turns it into a virtual gallery/viewing room dynamically. This example is the first few items from the published MOMA collection ((https://github.com/MuseumofModernArt/collection).
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5 Best Public Datasets to Practice Your Data Analysis Skills
The collection includes two datasets - ‘Artist’ and ‘Artwork’ available in both CSV and JSON formats. The data can either be forked or downloaded directly from the GitHub page. However, the dataset has incomplete information and should only be used for research purposes. That is why it’s the perfect candidate as it resembles a real-world scenario where data is often missing.
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Google Charts Dashboard: a Tutorial with an Artistic Touch of MoMA 🖼
On GitHub, MoMA publishes and periodically updates a public dataset which contains ~140,000 records, representing all of the works that have been accessioned into MoMA’s collection and cataloged in our database. It includes basic metadata for each work (e.g., title, artist, date made, medium, dimensions, and date of acquisition). This dataset is placed in the public domain using a CC0 License (so we're free to use it in this tutorial) and available in CSV and JSON formats.
data-movies
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5 Best Public Datasets to Practice Your Data Analysis Skills
But why do you need these scripts if IMDB already makes all the data available for customers? Well, the IMDB Datasets are raw and subdivided into several text files. The Ruby scripts store all this information into a single CSV file making it easier to analyze. The approach also ensures that we have access to the latest data with fields such as:
What are some alternatives?
JSON Machine - Efficient, easy-to-use, and fast PHP JSON stream parser
map - PHP arrays and collections made easy
lazy-json - 🐼 Framework-agnostic package to load JSON of any dimension and from any source into Laravel lazy collections recursively.
dflydev-dot-access-data - Given a deep data structure representing a configuration, access configuration by dot notation.
php-caching-generator - A rewindable PHP Generator class that caches its generated values.
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
Fregata - Fregata - a PHP database migrator
covid-19-data - A repository of data on coronavirus cases and deaths in the U.S.
react-google-charts - A thin, typed, React wrapper over Google Charts Visualization and Charts API.
git-lfs - Git extension for versioning large files