Days Postings
Blog Series
Copyright Notice
© Mark Biegert and Math Encounters, 2024. Publication of this material without express and written permission from this blog’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Mark Biegert and Math Encounters with appropriate and specific direction to the original content.
Disclaimer
All content provided on the mathscinotes.com blog is for informational purposes only. The owner of this blog makes no representations as to the accuracy or completeness of any information on this site or found by following any link on this site. The owner of mathscinotes.com will not be liable for any errors or omissions in this information nor for the availability of this information. The owner will not be liable for any losses, injuries, or damages from the display or use of this information.
Monthly Archives: February 2020
Web Scraping Sailboat Reviews Using Power Query
While it is true that I worked on US Navy contracts for twelve years and spent some time on ships testing new underwater vehicles, I know very little about recreational boating. However, I have always been fascinated by sailing, though this fascination has been limited to reading books about the Age of Sail. Continue reading
Visualizing House of Representative Data Using Power Query
I have been following certain bills through the US House of Representatives and wanted to know how the voting varied by US regions and political parties. I also want to generate tables that show how my state's representatives vote (Figure 1). Fortunately, the votes are documented online and Power Query was able to easily grab and process the data. Continue reading
Posted in Civics Through Spreadsheets, Excel
Comments Off on Visualizing House of Representative Data Using Power Query
Power Query Regular Expression Hack
I use Python, R, and Excel every day in the course of my work. Because many corporations are focused on the Microsoft Office suite of tools, many businesses require that I use Excel/Power Query so that they can work with the tools I develop after I am done. Fortunately, I really enjoy using Power Query, but I find it irritating that it does not support regular expressions. I must admit that Power Query's standard functions can do a good job of extracting strings, but the process is a bit tedious. However, I have a large library of regular expressions for extracting email addresses, phone numbers, social security numbers, and the like that would be efficient for me to use. Continue reading
Posted in Excel
3 Comments
US Navy WW2 Aviation Statistics Cleanup Using Power Query
was reading a forum post on fighter kill ratios during WW2 and decide to compute some Imperial Japanese Navy (IJN) vs US Navy (USN) ratios for myself. I should point out that these ratios are generally viewed as inflated because of the difficulty of confirming downed aircraft. However, the inflated numbers continue to be quoted. The published reports state that the F6F Hellcat had the best kill ratio of the USN/Marine fighter at 19-to-1, followed by the F4U Corsair at 11-to-1, and the F4F Wildcat at 7-to-1. Continue reading
Posted in History Through Spreadsheets, Naval History
2 Comments