项目作者： sousablde
项目描述 ：
Quick descriptive analysis of the Stack Overflow survey results dataset with focus on conditions conductive to higher job satisfaction
高级语言： Jupyter Notebook
项目地址: git://github.com/sousablde/StackOverflow-Dev-Survey-Data-Analysis.git
StackOverflow-Dev-Survey-Data-Analysis
Quick Start and Installations
- Clone the repo:
git clone https://github.com/sousablde/StackOverflow-Dev-Survey-Data-Analysis.git - Compatible with Jupyter Notebook, Pycharm, Sagemaker or Watson Studio from the getgo
- Using Anaconda for library management
https://www.anaconda.com/distribution/ - Requires installation of SciKit-Learn
https://scikit-learn.org/stable/install.html
Project Motivation
This dataset is a great example of how sometimes data science allows the discovery of many insights on data without
having to go through data modelling.
The modelling portion of the project ended up providing many of the same conclusions that had been achieved with just
a descriptive approach.
File Description
- .gitignore for the purposes of keeping project size low
- ALookAtTheData.py and ALookAtTheDataSolns.py correspond to helper functions to test the project conclusions on the go
- StackOverflow Dev Survey results.ipynb notebook file where the data loading and analysis is performed and displayed
- SOLJ.png corresponds to the project icon
