https://github.com/csfelix/faker-dataset
📋 Fake Dataset generated via Faker Python Library 📋
https://github.com/csfelix/faker-dataset
data-science dataset df faker faker-library python python3
Last synced: about 1 month ago
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📋 Fake Dataset generated via Faker Python Library 📋
- Host: GitHub
- URL: https://github.com/csfelix/faker-dataset
- Owner: CSFelix
- License: mit
- Created: 2023-05-01T01:50:48.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-05-02T00:24:39.000Z (about 3 years ago)
- Last Synced: 2025-04-03T06:33:51.259Z (about 1 year ago)
- Topics: data-science, dataset, df, faker, faker-library, python, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 581 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
📋 Faker Dataset 📋
Amazing library to generate fake datas
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📝 Problem Description
Fig. 1 - Pandas Library Cartoon. ©Real Python
You have been hired for a Data Science job where you must explore the Faker Python Library to generate a dataset with fake datas.
Your dataset file must be named `faker-dataset.csv` and be stored into `dataset folder` located at this project directory, contain at least `5 features` and `3,000 rows`, and all features' values must be generated using the Faker Library.
After generating and saving the datas into a csv file, you must read it as `utf-8` charset and show its first 5 rows in order to check out whether the dataset is ok to be used for other Data Scientists.
Good Luck!! 🍀 ☘️
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📁 Files Description
> **faker-dataset.csv** - contains at least 3,000 rows of fake datas generated by `Faker Python Library`.
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❓ Library Features
> **region/locale** - the person's locale;
> **name** - the person's name;
> **email** - the person's e-mail;
> **adress** - the person's address;
> **license_plate** - the person's automative's license plate;
> **company** - the company where the generated person works at;
> **job** - the job occupied by the person;
> **color_name** - the person's fav color.
You can check out all the possible features here: Faker Library - Standard Providers
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⚙️ Setup
***Tools***
> Python Version 3.9.x+;
> Jupyter Notebook.
***Libraries***
> Faker;
> Numpy, Pandas.
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🎉 Acknowledgments
> Fzaninotto and Faker Library team!
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📫 Reach Me
> Email: csfelix08@gmail.com
> Linkedin: [linkedin.com/in/csfelix/](https://linkedin.com/in/csfelix/)
> Portfolio: [CSFelix.io](https://csfelix.github.io)
> Kaggle: [DSFelix](https://www.kaggle.com/dsfelix)