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I do not know up to which extend the spirit of the original answer by @sboysel is preserved by including the fees with a link to the source for the fees, so I posted it as a separate answer: https://www.freelancer.com/feesandcharges?w=f&ngsw-bypass=# max(3%,$3) www.bountysource.com/fees Free, but withdrawel costs 10% https://www.bounties.network/ ...


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The easiest way to access this data is probably to get daily summaries from the NOAA Global Historical Climatology Network-Daily dataset and then aggregate them to weekly values. So if you're interested in how mortality is affected by weekly maximum and minimum temperature, you could calculate that by finding the highest of the daily maximum temperatures for ...


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You can generate the data yourself :-) If you know a bit about JavaScript and Node programming: take a look at the free "Faker.js" third-party library. Scroll down on the Faker.js GitHub page to see what categories of fake data can be generated (Fake Addresses, Computer Lingo, Business-Gibberish, Lorem-Ipsums, Dates...) I think there are ...


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I wrote some code to analyse the reuters21578 corpus (thanks @philshem for pointing me to it)! You can find the results here - ascii_freq.txt or ascii_freq.json. The code used to generate them can be found here.


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You can also check out the algorithm used on https://www.word-grabber.com/words-with-friends-cheat that finds word possibilities from letters.


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