This project was born out of curiosity. Being new to data analysis, I was perplexed about received opinions propagated by senior data analysts. I thought, why not check all this out?
The steps are simple: collect, clean and analyze data.

Data

We chose LinkedIn as the jobs listing platform to scrape. To do so, we wrote a python script to go through LinkedIn and collected all the necessary data. After a poll, 3 locations were chosen: Africa, Canada, and the USA. You can find the whole project here

Features

• title: Job title
• company: Name of the company
• description: description of the job and company
• onsite_remote:
• Location where the employee will be working from
• salary: Salary for the job. May be yearly or hourly. In most cases, it is a range from min to max
• location: Where the company with the opening role is located
• criteria: Job requirements like experience, employment type, etc
• posted_date: The date the job was posted
• link: The URL to the job