This project is part of the Udacity Data Science Nanodegree Course. In this project, data from a StackOverFlow survey is analyzed to answer certain questions regarding remote work. The 3 key questions which are answered based on the data are the following:
- Is remote work also common for young professionals, or is it more common for more experienced employees?
- Is a smaller or a bigger company more likely to offer remote jobs?
- What are the most common ways for companies to search for remote workforce?
The CRISP-DM framework is used.
The associated Medium blog post can be found here: https://martinzeitler.medium.com/how-to-work-remotely-or-how-to-find-your-dream-job-using-statistics-c5b7354fef67
All the files were created using Jupyter Lab and the Python programming language (version 3.8.8). The following Pyhton libraries were used:
- os
- pandas 1.2.4
- seaborn 0.11.1
The project consists of a single Jupyter notebook file (.ipynb). This file contains all the necessary code as well as a description and a motivation for the question. Furthermore, it contains the analysis of the results.
I want to express gratitudes for the team at Udacity which provides a great course on the topic of Data Science.
The code is available to anybody for personal and commercial use with the GNU General Public License v3.0. The used libraries may have there own different licences. I do not guarantee for any correctness or timelines of the results. No warranty is provided.