bitlysis-data-science
Bitlysis — Data Science & Analysis
When to Use
- Writing or reviewing R scripts, R Markdown, or Quarto documents
- Building Python data analysis pipelines
- Working in Jupyter notebooks (
*.ipynb) - Designing data pipeline architecture (raw → processed)
- Statistical modeling, hypothesis testing, or report generation
- Working with SPSS/Stata files (
.sav,.dta)
Instructions
Step 1: Ensure Reproducibility
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