anuranjanpandey / stackoverflow_2019_survey_analysis

Analysis of the 2019 Stack Overflow Survey Data

An Analysis of the 2019 Stack Overflow Survey Data

This Project is created to carry out analysis of the 2019 Stack Overflow Developer Survey Data. Stack Overflow’s annual Developer Survey is the largest and most comprehensive survey of people who code around the world

Here we can uncover answers to some crucial questions.

1. Which is the most popular Language?

JavaScript is the most commonly used programming language, but Python has risen in the ranks.

Trends show that Python is the fastest-growing major programming language today.

2. What is the Median Salary of developers by age?

It is found that the Median salary of Developers is $57287.

Python is the programming language of choice for developers who identify as Data Scientists and Machine Learning Specialists. Salaries for Data Scientists and Machine Learning Specialist are the highest in the USA.

3. What kind of programming languages are used by people of various Job profile?

Following Data gives us an idea about the programming languages and tools that are used by professionals.

Developer, desktop or enterprise applications

JavaScript: 67.84%
HTML/CSS: 64.55%
SQL: 63.56%
C#: 53.69%
Java: 44.69%

Developer, front-end

JavaScript: 87.72%
HTML/CSS: 83.62%
SQL: 58.65%
Java: 37.6%
PHP: 35.94%

Designer

HTML/CSS: 78.88%
JavaScript: 78.33%
SQL: 60.18%
PHP: 40.23%
Java: 39.44%

Developer, back-end

JavaScript: 72.23%
HTML/CSS: 65.42%
SQL: 64.01%
Java: 44.03%
Python: 40.67%

Developer, full-stack

JavaScript: 86.15%
HTML/CSS: 78.94%
SQL: 65.54%
Java: 40.74%
Bash/Shell/PowerShell: 37.91%

Academic researcher

Python: 61.06%
HTML/CSS: 55.87%
JavaScript: 54.25%
SQL: 47.55%
Java: 42.26%

Developer, mobile

JavaScript: 67.72%
HTML/CSS: 62.46%
Java: 57.21%
SQL: 51.27%
C#: 34.34%

Data or business analyst

SQL: 73.88%
HTML/CSS: 62.11%
JavaScript: 61.33%
Python: 51.86%
Bash/Shell/PowerShell: 38.43%

Data scientist or machine learning specialist

Python: 79.33%
SQL: 58.44%
JavaScript: 51.38%
HTML/CSS: 50.43%
Bash/Shell/PowerShell: 44.49%

Database administrator

SQL: 81.7%
JavaScript: 78.11%
HTML/CSS: 76.19%
Bash/Shell/PowerShell: 45.2%
PHP: 44.16%

Engineer, data

SQL: 66.75%
Python: 64.31%
JavaScript: 60.13%
HTML/CSS: 56.47%
Bash/Shell/PowerShell: 48.55%

Engineer, site reliability

JavaScript: 69.43%
Bash/Shell/PowerShell: 64.05%
HTML/CSS: 62.79%
SQL: 61.37%
Python: 59.23%

Developer, QA or test

JavaScript: 73.38%
HTML/CSS: 70.31%
SQL: 64.81%
Bash/Shell/PowerShell: 45.73%
Java: 45.23%

DevOps specialist

JavaScript: 73.67%
HTML/CSS: 66.66%
SQL: 64.56%
Bash/Shell/PowerShell: 63.98%
Python: 52.44%

Developer, game or graphics

JavaScript: 69.02%
HTML/CSS: 66.37%
C#: 54.31%
SQL: 48.91%
C++: 47.85%

Educator

JavaScript: 70.15%
HTML/CSS: 70.15%
SQL: 56.92%
Python: 47.02%
Java: 44.26%

Student

HTML/CSS: 68.13%
JavaScript: 63.53%
Java: 54.37%
Python: 54.37%
SQL: 51.83%

Engineering manager

JavaScript: 72.35%
HTML/CSS: 65.02%
SQL: 60.4%
Bash/Shell/PowerShell: 49.1%
Python: 46.86%

Senior executive/VP

JavaScript: 75.94%
HTML/CSS: 71.81%
SQL: 64.12%
Bash/Shell/PowerShell: 46.8%
Python: 46.37%

System administrator

JavaScript: 73.45%
HTML/CSS: 72.57%
SQL: 67.94%
Bash/Shell/PowerShell: 58.44%
Python: 51.36%

Developer, embedded applications or devices

JavaScript: 60.89%
HTML/CSS: 57.75%
C++: 51.08%
SQL: 50.97%
Python: 50.95%

Product manager

JavaScript: 75.0%
HTML/CSS: 71.92%
SQL: 63.42%
Python: 39.63%
Bash/Shell/PowerShell: 38.96%

Scientist

Python: 69.48%
HTML/CSS: 51.04%
JavaScript: 48.77%
Bash/Shell/PowerShell: 47.83%
SQL: 44.21%

Marketing or sales professional

HTML/CSS: 76.82%
JavaScript: 71.79%
SQL: 58.97%
PHP: 44.21%
Python: 38.26%

Prerequisites

• Numpy
• Pandas
• seaborn
• Matplotlib
• Python 3.7

Instructions on running the application

1. Download the required data sets and if required modify the directory paths.