R to Python Script Conversion
Budget: ₹1,500 – ₹12,500 INR
I need assistance in converting two R scripts, each containing 1000 to 1500 lines of code, into Python. These scripts perform data visualizations and statistical analyses using common R packages. The goal is to make these scripts open-source by hosting them on GitHub, and I require the Python code to be written directly in the GitHub Codespace. This ensures accessibility for anyone, anywhere, without the need for downloads.
Key Requirements:
- Convert R scripts to Python, maintaining the same data visualizations and statistical analysis results.
- Use equivalent Python libraries to replicate the functionality of R packages such as ggplot2, dplyr, tidyr, scales, viridis, patchwork, and zoo.
- Implement the Python code within GitHub Codespace to facilitate open-source access.
- Ensure the Python scripts are well-documented and easy to understand for users familiar with R.
Ideal Skills and Experience:
- Proficiency in both R and Python programming languages.
- Experience with data visualization and statistical analysis in Python, using libraries like Matplotlib, Seaborn, Pandas, and NumPy.
- Familiarity with GitHub and its Codespace environment for collaborative coding and version control.
- Ability to translate complex R code into Python while maintaining the integrity of the original analyses and visualizations.
Your expertise will help make this project accessible and beneficial to a wider audience. I look forward to collaborating with you to achieve this goal.
Key Requirements:
- Convert R scripts to Python, maintaining the same data visualizations and statistical analysis results.
- Use equivalent Python libraries to replicate the functionality of R packages such as ggplot2, dplyr, tidyr, scales, viridis, patchwork, and zoo.
- Implement the Python code within GitHub Codespace to facilitate open-source access.
- Ensure the Python scripts are well-documented and easy to understand for users familiar with R.
Ideal Skills and Experience:
- Proficiency in both R and Python programming languages.
- Experience with data visualization and statistical analysis in Python, using libraries like Matplotlib, Seaborn, Pandas, and NumPy.
- Familiarity with GitHub and its Codespace environment for collaborative coding and version control.
- Ability to translate complex R code into Python while maintaining the integrity of the original analyses and visualizations.
Your expertise will help make this project accessible and beneficial to a wider audience. I look forward to collaborating with you to achieve this goal.