September 2023 M T W T F S S 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
© Mark Biegert and Math Encounters, 2022. 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.
DisclaimerAll 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.
Category Archives: Excel
I recently noticed that combinedfleet.com has excellent summaries of the WW2 US submarine patrol reports that are very easy to scrape for data. These patrol reports are interesting because they provide accurate data as to the rate of torpedo firings by US submarines and some indications as to the mix of torpedoes being fired. Like all WW2 records, not every patrol recorded the weapons used and it is difficult to know how accurate the hit count is. Continue reading
This post uses a combination of data from a Github repo by Jeffery Arnold that contains a fantastic amount of Civil War battle data and some Wikipedia scraping to generate similar tables. I should note that my casualty results are significantly different than Bonekemper's because there are large differences between sources of Civil War casualty data. The reasons behind these differences are complex, but the Arnold repo has data from a number of sources. I chose his Wikipedia file because it is easy to check where the data came from. Continue reading
I am a huge fan of Drachinifel's naval history channel. The other day, Drach was participating in the Armchair Admiral's program, during which he presented two charts on the Battle of the Atlantic that I have never seen before: (1) A chart of tonnage sunk by U-boats versus time and (2) a chart of U-boats sunk versus time. The unique aspect of the charts was that the data points were colored based on whether the Enigma cipher was broken at the time and whether centimetric (microwave) radar was deployed. These charts really got me thinking about the impact of technology on the struggle against U-boats. Continue reading
I recently needed to generate a table that showed how every user requirement generated by our Marketing Department was mapped to one or more system requirements. This table is known as a flowdown table. For all sorts of reasons, none of them good, our requirements database could not generate the report. I decided that Excel would be the appropriate tool to generate the table we required. I should note that a Python version was also developed and will likely be used in the future. Continue reading
I just finished watching a series of videos on the Guadalcanal Campaign by Drachinifel, whose work is superb (Figure 2). The marines derisively referred to this campaign as Operation Shoestring because of the resource limitations. Things were no better for the sailors. Unlike many WW2 island campaigns, more sailors died in the battles than ground troops (link). The Allies, and in particular the US Navy (USN), had to learn the hard way that the Imperial Japanese Navy (IJN) was a force that deserved respect. Many Allied ships were sunk while learning this lesson. Continue reading
My reading and watching lectures on Mahan have motivated me to look at how the US Navy grew and shrank over the years. Fortunately, the Naval History and Heritage Command (NHHC) have an excellent page on the size of the US Navy over time. Unfortunately, the data is scattered throughout the page and it must be scrapped so that I can consolidate and graph it. This post is about using Power Query to scrape the data from the page and generate a graph in Excel of the number of active ships in the US Navy over time. Continue reading
I use Python or R for my large-scale data work, but I do find Excel a very powerful ad hoc data analysis tool, particularly with some of the new functions that use spillable ranges. Today, I was given a large table of Engineering Change Orders (ECOs) and a comma-separated list of the documents each ECO affected (very abbreviated form shown in Figure 1). Continue reading
I recently had a situation where I needed to correct a number of date/time values because they did not take into account Daylight Saving Time (DST). To be specific, some transactions from China were recorded assuming a fixed time offset with respect to US Central Standard Time. Because of DST, this is not always the case. My customer only works in Excel, so the work was done in Excel. Continue reading
This post is going to look at the Destroyers for Bases deal between the US and UK. The bargain was an executive agreement announced on 2-Sep-1940 to trade 50 WW1-era US destroyers to the UK for US basing rights in the Caribbean, Bermuda, and Newfoundland. I have seen the destroyers described as obsolete, which seemed odd for ~20-year-old destroyers that nominally have 30 year lifetime (typical for most US Navy ships). Continue reading
A number of years ago, I was asked by a father to assist him and his son with a science project that involved calculating the ballistic coefficient of a BB gun projectile. I provide dthis father-son duo with the required calculations (documented here) and the answer I obtained seemed reasonable. Continue reading