The project is a Python code for writing a data science blog. Our investigation is based on a dataset from stack overflow developer survey results from 2017. This data was collected using a questionnaire answered by developers around the world. This questionnaire considers the following attributes regarding education: Formal Education, Major Undergraduate, and Highest Education of Parents. Next, we discuss these attributes and how they affect both the gained salary and percentage of developers.
The motivation for the project to instigate the relationship or effect of the developer’s education on his/her salary satisfaction.
| Library | Description |
|---|---|
numpy : |
a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices |
pandas : |
a software library written for the Python programming language for data manipulation and analysis. |
matplotlib.pyplo : |
a collection of command style functions that make matplotlib work like MATLABk |
| FILE | Description |
|---|---|
survey-results-pulbic : |
csv file that contains the results of a survery distributed to software developers vi overstack website |
survey-results-schema : |
csv file that contains the schema of the fileds of the survery distributed to software developers vi overstack website |
write-A-DatacScienceBlog : |
Jupyter notebook that contains the python code to answer question needed in the study |
README.md : |
the readme file that explain the usage of this repository |
We conclude that about 70% of developers have a formal education of Bachelor’s or Master's degree. Developers with doctoral degrees earn the highest salaries. 70% of developers have a computer science or related field major in undergraduate. Non-computer science major in undergraduate earns more than computer science-related fields. Developers with a psychology undergraduate major got the highest salaries. 45 % of Developers’ parents have Bachelor’s or Master’s degree. The developers whose parents hold doctoral degrees earn the highest salaries.
No installation is needed, since this is a Jupyter notebook that contains both the code and its output. Also, dataset used is provided.
It recommended to use Anaconda distribution to install both Python and the notebook application.
Use Anaconda distribution to to run the Python Jupyter notebook.
- Anaconda distribution using Jupyter notebook
- Mohammed Lafi - * * - Mohammed Lafi
This project is licensed under the MIT License - see the LICENSE.md file for details
I would like to thank ALL Udicity team members
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