This repository contains software that allows you to query a dataset containing 62,640 jobs across large companies in the tech industry. The dataset in use can be found at Kaggle. The dataset is read into a SQLite database table so SQL can be used to query it.
You can start the software by running python main.py on the command line. You will then see a menu containing instructions on how to proceed.
I wrote this software because I wanted to gain some experience using sqlite3 with python. I stumbled upon this dataset and it seemed like something that would be useful to query. It was definitely a good exercise.
For this project I am using sqlite3 as my database.
The data is read into a job table that contains these columns:
- company (text)
- title (text)
- level (text)
- total yearly compensation (integer)
- base salary (integer)
- bonus (integer)
- location (text)
- years of experience (integer)
- years at company (integer)
- timestamp (text)
Tools used in developing this software:
- Editor: VSCode
- Rainbow CSV Extension
- SQLite Extension
- Data Source: Kaggle.com
Languages:
- Python
- SQL
Libraries:
- SQLite3
- CSV
- Datetime
- Make chainable queries. Ex: At company + In location
- Make an easy way for a user to write their own queries without having to know SQL
- Make user input checking more robust