Skip to content

Analysing data from Stack Overflow Annual Developer Survey (2020) using Python Pandas library

Notifications You must be signed in to change notification settings

qristinius/Stackoverflow-Survey-2020

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 

Repository files navigation

Stack Overflow Annual Developer Survey (2020)

💡 To better understand and navigate the code, it is recommended to download it and run it on your computer

Table of Contents

1.Data sources

2.Tech/Framework

3.Project Motivation

4.File Descriptions

5.About me

🗂️ Data sources

The original data is more than 500 MB, to download please go to Stack Over Flow Annual Developer Survey and choose the dataset you need.

🦾 Tech/Framework

• This project is built using Python (3.9.4) version and jupyter notebook (6.4.11).

• Libraries used:

Pandas (1.4.2)

Numpy (1.22.3)

Matplotlib (3.5.2)

🎯 Project Motivation

My goals:

• Thorough study of the python.

• Study of data analysis

• Getting to know Python libraries better

• Refine my existing skills

• Acquire new skills and experience

• Create a new project for my Portfolio

For this project, I was interestested in using Stack Overflow data to better understand:

• What are the distributions of women with respect to country, ethnicity, level of education, etc.

• What are the most popular types of development/languages.

• What factors associate with high salary, eg. type of development, education level, etc.?

• People with what skills earn more?

📄 File Descriptions Each ipynb file processes specific year data.

Each file contains 3 large sections, namely: • import some Required libraries and data In this section we will import the libraries and data to be used in the future.

• Create functions for data processing In this section we will create the functions which help us to calculate data and create Bar Chart.

• Data processing with a certain classification This section deals directly with data processing

ℹ️ About me:

Linkedin : https://www.linkedin.com/in/kristine-dzneladze-a81907230/

Facebook : https://www.facebook.com/profile.php?id=100013187229623

Github : https://github.com/qristinius

About

Analysing data from Stack Overflow Annual Developer Survey (2020) using Python Pandas library

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published