Again, it's hard to cry too many tears for Microsoft, but it does seem a bit off-target to blame "Excel" for this...
Again, it's hard to cry too many tears for Microsoft, but it does seem a bit off-target to blame "Excel" for this...
Not to mention that complex formulae are still usually expressed as a bunch of gobbledygook in the cell value textbox, which is about as easy to parse as minified Javascript. And that's to technical users like ourselves.
The story I mentioned was because I wanted to look at the data before I started parsing it. I had full expectations to use either sqlite or Pandas.
Excel is a wonderfully powerful tool that’s very bad at handling errors clearly.
It seems that warning has just been ignored by the user.
JS would like to have a word with you.
Ultimately tools are built for particular things, and if you choose to use a tool for something it's not built for, and it breaks catastrophically, that's on you.
Throwing away data without warning is almost certainly never what the user wanted.
My bet is the biggest problem here is subcontracting this work to the lowest bidder, presumably from some developing country.
knowing a little how things (don't) work in the UK, it's likely subcontracted, but to a company belonging to a mate of the director in charge of the whole thing
> > And it appears that Public Health England (PHE) was to blame, rather than a third-party contractor.
This is a problem of bad coding, and using the wrong tool for the job.
A defensive coding practice would have prevented this from going unseen. Using a database to store data would have prevented such arbitrary limits.
> And it appears that Public Health England (PHE) was to blame, rather than a third-party contractor.