https://github.com/matthewpoer/pop-culture-dummy-data

dummy data to fill your staging systems and test your scripts, comprised of nostalgic cartoons and other fictional characters
https://github.com/matthewpoer/pop-culture-dummy-data

Last synced: 1 day ago
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dummy data to fill your staging systems and test your scripts, comprised of nostalgic cartoons and other fictional characters

• Host: GitHub
• URL: https://github.com/matthewpoer/pop-culture-dummy-data
• Owner: matthewpoer
• Created: 2019-01-16T16:48:50.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-07-31T18:46:11.000Z (over 4 years ago)
• Last Synced: 2023-03-12T02:33:02.580Z (over 1 year ago)
• Language: PHP
• Size: 9.77 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Pop Culture Dummy Data

Sometimes you need your CRM system, e-commerce tool or even a public website to just have a little more _something there_ to demonstrate what it is you're doing. [_Lorem Ipsum_](https://en.wikipedia.org/wiki/Lorem_ipsum) is great as filler text but isn't really relatable, and doesn't look like customer record data that so many tools work with.

Enter **Pop Culture Dummy Data**. More unique than repeatedly entering variations of `firstname123`, and certainly more fun, this is a practical set of mock customer data, including common person-style data fields and company references. Records are stored in this repository in [UTF-8](https://en.wikipedia.org/wiki/UTF-8) compatible and vendor neutral [CSV format](https://en.wikipedia.org/wiki/Comma-separated_values).

The benefit of using pop culture references?

* You (and your audience) are much more likely to see that _Daffy Duck_ is the test record, so there's a lower risk of confusing production and testing data/systems.

* Way more interesting **and distinctive** than repetitive _firstname1_, _firstname2_, _firstname321_, _firstname32er_, _fdsafdksafdsa_, etc... that hurt just to type.

* Maybe you could integrate the data into a production-to-development process for "full circle" data models with non-produciton data?

## Converting to Other Data Types

Most tools and spreadsheet applications will natively open CSV files, but what if you need your data in JSON? or a PHP array? We have a few scripts to help with that in the [`converters/`](converters/) directory.