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recodehive / Stackoverflow-Analysis

Stack overflow is a professional community for developers. This repo analysis 3 years of developer Survey done by Stackoverflow and do visualization and predict the salary of Data Scientist in future.
https://stackoverflow-analysis.streamlit.app/
MIT License
220 stars 108 forks source link

Exploring the popularity of programming languages and predicting their growth based on survey responses 2021, 2022, and 2023. #94

Closed Yodha-Sudarsi closed 4 months ago

Yodha-Sudarsi commented 4 months ago

Is your feature request related to a problem? Please describe. Yes, It will predict the growth of programming language languages in the tech community

Describe the solution you'd like I will solve this problem using regression algorithms and predict popularity of programming languages and add visualization using plotly and seaborn

Describe alternatives you've considered An alternative would be without using any regression algorithm, we can do EDA and analyze the popularity of programming languages

Additional context Add any other context or screenshots about the feature request here.

What problem is this feature trying to solve? This information will assist newcomers in identifying the latest and most popular programming languages to enhance their careers and professional growth. It will also ensure that learners avoid investing time in outdated programming languages.

How do we know when the feature is complete? I'll send PR within 4 days.

barlasanjay commented 4 months ago

Is your feature request related to a problem? Please describe. Yes, many developers and organizations struggle to keep up with the rapidly changing landscape of programming languages. Understanding which languages are gaining or losing popularity can help guide learning and development efforts, making informed decisions about technology adoption.

Describe the solution you'd like I propose developing a comprehensive model that analyzes the trends in programming language popularity over the years 2021, 2022, and 2023. This model will utilize time series analysis and machine learning algorithms to predict future trends.

Describe alternatives you've considered One alternative approach is to perform a detailed exploratory data analysis (EDA) without predictive modeling. This would involve using descriptive statistics and visualizations to identify historical trends and patterns in programming language popularity.

Additional context Integrating job market data and industry demand can provide a more holistic view of language popularity. By combining survey responses with job posting data, we can correlate language trends with real-world demand, offering more actionable insights for developers and businesses.

What problem is this feature trying to solve? This solution will help developers, educators, and organizations identify emerging programming languages and make strategic decisions about which languages to learn or teach. It will also aid in forecasting future trends, allowing stakeholders to stay ahead of the curve and invest in skills that will remain relevant.

How do we know when the feature is complete? I will report here everyday

sanskritiagr commented 4 months ago

Even I want to work on this project. Please allow me to do so.

sanjay-kv commented 4 months ago

This is already devleloped.

github-actions[bot] commented 4 months ago

Hello @Yodha-Sudarsi! Your issue #94 has been closed. Thank you for your contribution!