Pandas Data Analysis helps you work with data like a pro. You can clean messy information, find patterns, and make clear charts. This skill uses Python tools like Pandas, NumPy, and Matplotlib to handle tables of numbers and text. Anyone who deals with spreadsheets or reports can benefit from learning these steps.
You will start by loading data from files like CSV or Excel. Then you remove errors and fill in missing values. Next you group and summarize the data to get useful numbers. Finally you create graphs that tell a story. This skill turns raw data into real insights.
Global
mkdir -p ~/.claude/skills/pandas-data-analysisProject
mkdir -p .claude/skills/pandas-data-analysisSource Repository
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning