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What type of data export would you find most useful?

* Tables as a collection of CSV files, or an Excel workbook

* Contents of streams

* StringPool data dump

* Option to configure file dump to export using either SourceDir paths, or target destination dir paths


It looks like orca.msi uses external cab files, so maybe a bit harder to do than just fetching a single file MSI into the Pyodide file system. If the license allows, it would be interesting to have as an option for the example.


Thanks for the suggestion! I just added a button to load a small example MSI file.


My experience with 7zip has been that it can read the tables and cab files from MSI files, but when you go to extract the contents you just get the raw files without the directory restructure associated with the MSI file (and the names of the extracted files can also have issues).


As a side note, I just tried it in mobile Safari on my iPhone -- at least inspecting MSI files works, extracting files may work as well (not sure where it is placing the "downloaded" zip file).


My safari puts things in icloud drive / downloads


That's configurable in the Safari settings, fwiw (I personally prefer my downloads to not automatically become uploads, especially on mobile data).


This reminds me a lot of the writing advice from Jean-luc Doumont’s lecture/workshop 'Clear, accurate, concise writing'.


That second thread is really interesting — I don’t think I have to worry about blindness, but I’ve wondered how I’d adapt to working if I couldn’t see, or didn’t have use of one or both hands.


The counter argument for the J curve/French Paradox study is that their data for people who don’t drink is biased — it doesn’t distinguish between people who never drink because they don’t want to, and those who stopped due to underlying health conditions (thus making it appear as if mortality among those who don’t drink is higher).


I think there’s been research regarding the supposed “J-curve” for alcohol consumption — essentially, the original research that led to the idea of moderate consumption being better than none failed to differentiate between people who have never had alcohol, and those who stopped drinking due to health conditions. I wouldn’t be surprised if this “couples drinking together” also has a similar bias.


I thought the “typical” keto diet tends to be higher in meat, egg, seafood, and dairy-based product consumption than the western diet. Which would make it lower fiber, since that comes from plants.


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