Amazing library to generate fake datas
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!! 🍀 ☘️
faker-dataset.csv - contains at least 3,000 rows of fake datas generated by
Faker Python Library.
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
Tools
Python Version 3.9.x+;
Jupyter Notebook.
Libraries
Faker;
Numpy, Pandas.
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