I've created a stop smoking iPhone app for my Psychology MSc. Users are given a mission each day for 21 days, the aim of which to help them with their quit.
Users have the ability to rate missions out of 10, which over 1,000 of them have kindly done. The problem is getting the data into a form where it can be analysed easily.
I've used this formula to transpose rows into columns, with each author having a single row. However, if someone has only entered a rating for day 16, that rating will appear in columns B and C (B being the day, C being the rating for that day). If someone has entered a rating for days 3 and 15 their data will go into the B to E column.
What I'd like is for all ratings for day 1 to be in column C, all for day 2 to be in column E, all for day 3 in column G and so on.
The attached sample data has a number of worksheets.
- Ideal Output: contains the data as I'd like it to be - I achieved this with C&P, which is both time consuming and error-prone.
- Raw Data: Is the data with nothing done to it (apart from some anonymisation)
- MD & MR: Is the data I'd like transformed.
One of the complicating factors is that some users have entered more than one rating for the same day. In an ideal world I'll average this rating (so if someone left a score of 1, 3 and 5 for day 1 I'd average that to 3). However, I understand this might need to be done at a later stage, and perhaps manually.
BTW, this will be an ongoing study, hence the need to work out how I can do this again.
Thank you.
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