Tom Prowse
@TomProwse1
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Senior Solution Consultant at Tableau Software - A Salesforce Company | #PreppinData Contributor
London, England
Joined June 2018
The latest #PreppinData solution is out! Solution: https://t.co/KnP0h9hOq3
Jess is back with part 2 of her #PreppinData challenge this week. MiniBytes would like us to perform some analysis on their returns data and how much they should budget for refunds each month. https://t.co/Germ56N65x
@Datajedininja @TomProwse1
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The solution for this #PreppinData solution is now available! Solution: https://t.co/tbPGNb2o47
It's week 43 of the year, so for #PreppinData this week it seems only right to return to the challenges that DS43 created for us earlier in the year! We need to identify the worst selling products in this dataset. Thanks Jess! https://t.co/L7O5nD8g0T
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The solution for this #PreppinData challenge is now available! Solution: https://t.co/0rQrlTJ1Ky
This week's #PreppinData looks at bring together a lot of data to see which song choices are most popular on Strictly Come Dancing! 💃 https://t.co/7qJyJ3pZbp
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The latest #PreppinData solution is now available! Solution: https://t.co/NHtxpmsGnf
This week's #PreppinData comes from @dataschooluk Coach @RobbinVernooij! Can you prepare the historical data on the highest paid athletes so we can do temporal analysis? https://t.co/GoUv4cl0Zq
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The latest #PreppinData solution is now available! Solution: https://t.co/ijVYBqKEPS
This week's #PreppinData challenge comes from Abhishek Minz of The Information Lab Ireland. In this challenge you will be looking at a vehicle advertising platform and see what dealership is using it the best. https://t.co/xhGwrwxefc
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The latest #PreppinData solution is now available! Solution: https://t.co/uvkg4lF3MI
This week's #PreppinData challenge is about time reporting for our consultancy business (no, not @infolabUK before my colleagues start to panic!). Can you help us clean up our engagement data to prepare it for analysis? https://t.co/mhcKJ3VMjR
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The latest #PreppinData solution is now available! Solution: https://t.co/FFXyKbVQUW
This week's #PreppinData is carrying on with the Premier League data from last week but now we're trying to determine each team's recent form. https://t.co/Gwv4ufcvXL
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The latest #PreppinData solution it out! Solution: https://t.co/hFhYKp2Tk0
This week's #PreppinData is a follow on to the Premier League results last year. This time we're using the clean data from last week to building the league standings. https://t.co/LIsdIGxlZQ
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The latest #PreppinData solution is out! Take a look at the solution here: https://t.co/a1OtMNdDKY
This week’s #PreppinData is converting a horrible multiple line data set into a data source you can do much more with. https://t.co/4sNnG2V5O8
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The latest #PreppinData solution is out! Solution: https://t.co/Gv4yT08jLP
It's our first ever 3 part #PreppinData! We missed out a bank holiday that falls during term time in last week's challenge so we need to update our logic so we aren't ordering a cake when no one will be in school! https://t.co/594J17GxJG
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The latest #PreppinData solution is out! Solution: https://t.co/y55JslpFS0
This week's #PreppinData takes an old challenge and adds a new aspect to it. Thanks to @dataschooluk cohort 46 for the idea for the challenge. https://t.co/OYmZ5DSvcd
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The latest #PreppinData solution is out! Take a look at the solution here: https://t.co/2o8aY2ApFL
This week's #PreppinData comes from a real example where I used my data prep skills to help with another hobby - @Pokemon card collecting/organising! https://t.co/OracoZtEkL
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The latest #PreppinData solution is out! Solution: https://t.co/d8MVETIxxA
It's the final challenge of our Sports themed #PreppinData month! We're looking at the Olympics, more specifically the Women's Heptathlon. https://t.co/uNdHrfufhI Thanks to @zsaucede for sharing the prep behind his viz 🎉 https://t.co/PlSqVTZAMD
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The latest #PreppinData solution is out! Solution: https://t.co/UTzJLBq8CG
For this week's Sports themed #PreppinData we're turning to International Football, since both the @EURO2024 and @CopaAmerica competitions concluded this month. https://t.co/HBOsrgMQGC
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The latest #PreppinData solution is now available! Solution: https://t.co/UoPey6WVmY
@dataschooluk consultant @Vizgrowth is contributing to #PreppinData this week, with an @F1 challenge! Dan is currently in the middle of a project where he's creating 24 F1 vizzes, which has naturally led to a lot of data prep! https://t.co/6Ecxg2X14u
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The latest #PreppinData solution is out! A Tour de France special this week with combining data with joins & splitting out strings. Solution: https://t.co/D3XpxvmKfO
This week's #PreppinData is a #TourdeFrance special as we look at the racing history of Sir Mark Cavendish. Can you prepare the data to analyse what makes Cav great? https://t.co/C82d7M9gwF
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The latest #PreppinData solution is out! This week had lots of calculations and a parameter to filter our output. Solution: https://t.co/n8diASGWhd
It's time for part 2 of Tobias Colmer's #PreppinData challenge. More issues have been found with the dataset so updates need to be made to make the data useable. https://t.co/JLNXNzVYq9
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The latest #PreppinData solution is out! This week was a focus on splitting strings to create new fields. Solution: https://t.co/QJFYQugwhN
For this week's #PreppinData, @dataschooluk consultant Tobias Colmer has set the challenge! We'll be looking into SuperBytes Complaints data. https://t.co/XvNvHyKeOQ
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The latest #PreppinData solution is out! This week used the 'New Rows' feature in @tableau Prep to help calculate weekly salary amounts. Solution is available here: https://t.co/efx6OV1p5N
It's time for part 2 of Andrew Tobin's #PreppinData challenge! This week SuperBytes are interested in seeing how their spend on manager salaries is changing over time. https://t.co/rIIFDA67Et
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The latest #PreppinData solution is out! This week we looked at using joins, splits, and ranks to identify the top 5 loyal customers. Solution: https://t.co/HycWVOkAo2
It's time for part 2 of Alexandra Skelly's #PreppinData challenge. This time she wants you to find the top 5 most loyal customers for each store. https://t.co/4WgC12LHO6
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