How jbotes/powerbitutorials works
This repository is a collection of analytics learning and example artifacts, not an evidenced runtime application. Its files cover Power Query transformations, Power BI reports, and notebook-based analysis, alongside example datasets. The file tree provides names but no README or source excerpts, so it does not establish which files consume which datasets or how any workflow runs. The graph therefore groups representative artifacts by format and topic without asserting data flows or execution relationships.
Components 12
Notebook analyses
- Portfolio analysis
01_PQ_YT_Notebook.ipynb - Data cleaning
02_DataCleaning_Video.ipynb - Sentiment analysis
666-SentimentAnalysis.ipynb - Bitcoin scraping
BaSensei_webscrape_Bitcoin_YTVideo.ipynb
Power Query examples
- Advanced grouping
PQ_AdvancedGrouping-Video.xlsx - Portfolio comparison
PQ_Portfolio_Comparer_Video.xlsx
Power BI reports
- Sentiment report
PQ_SentimentAnalysis_Video.pbix - Customer events
28_New_Customers_NW_video.pbix - Moving average
PBI_Simple_Moving_Average_Video.pbix
Example datasets
- US stock sales
us_stock_sales_2024.csv - Customer feedback
customer_feedback.csv - Portfolio sources
PQ_SourceData_Portfolios.xlsx