Add the "Awesome Data Analysis" repository to the "Other Awesome Lists" section.

[PavelGrigoryevDS]

I'd like to add Awesome Data Analysis repository to the "Other Awesome Lists" section.

Why It's a Valuable Addition

This list complements the existing resources in Awesome Data Science by providing a dedicated, in-depth focus on the core data analysis workflow.

• Clear Focus on Data Analysis: It specifically curates resources for data wrangling, visualization, statistical analysis, and reporting, while consciously keeping ML/MLOps/Cloud sections as adjacent, supporting topics.
• Well-Structured & Curated: The list is logically organized by resources and tools.
• Extensive Python Coverage: It features a comprehensive and well-maintained collection of Python libraries for data analysis, helping users discover tools that are hard to find via GitHub search alone.

As a maintainer of a similar list, I appreciate the effort required to keep these resources relevant. Thank you for your work and for considering this contribution.

[hmert]

@PavelGrigoryevDS thank you for contribution, could you add this repo to your list?

[PavelGrigoryevDS]

@hmert Thank you for merging!

I'm happy to let you know that your repository has been featured from the very beginning in the "Awesome Data Science Repositories" section of my list — it's right at the top as one of the most fundamental resources. It was a major source of inspiration when I was creating my own collection.

I have great respect for the work you do and the quality you maintain.