csfelix/faker-dataset

📋 Fake Dataset generated via Faker Python Library 📋

📋 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: [email protected]

Linkedin: linkedin.com/in/csfelix/

Portfolio: CSFelix.io

Kaggle: DSFelix

faker-dataset's Issues

🎉 Documentation - Acknowledges

🎯 Documentation - Goals

🔍 Code - Create the Variables

📫 Documentation - Reach Me

📝 Documentation - Problem Description

⚙️ Documentation - Set up

📁 Documentation - Files Descriptions

🔍 Code - Read the File and Display the First Five Rows

🔍 Code - Create the Dataset

🔍 Code - Create the File

❓ Documentation - Library Features