Data Scientology

2022-06-02 03:15:12 [OC] How satisfied are you with the amount of energy, time, friendship, and money that you have? Americans over 65 have the highest life satisfaction. See top comment for source and more details.

/r/dataisbeautiful
https://redd.it/v2jjp5 Open / Comment

2022-06-02 02:14:45 My open-source project: there shall be no difference between BI, Data Analysts and Data Engineer

/r/bigdata
https://redd.it/v11cnp Open / Comment

2022-06-02 01:14:57 [OC] At what age people in different European countries think that you become an adult

/r/dataisbeautiful
https://redd.it/v2nv73 Open / Comment

2022-06-01 23:14:39 data irl

/r/data_irl
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2022-06-01 22:14:58 [OC] Map of the Russian/Ukrainian war that I drew on a whiteboard in my AP European History class and updated every day until the last day of school (May 26th)

/r/dataisbeautiful
https://redd.it/v2ksr6 Open / Comment

2022-06-01 21:14:58 [OC] Colorado River Basin Reservoir Max Capacity and Current Water Levels

/r/dataisbeautiful
https://redd.it/v2kikg Open / Comment

2022-06-01 20:14:53 Q Is there anything wrong with adding number of trials per participant as a predictor in a mixed effects model?

I have data from a remember/know task. In this task participants learn words, then are tested on the previously seen words plus new lures. They have three options for each word: I remember seeing this word, I know I saw this word, I did not see this word. (I won't get into the theory on why these are different responses, but can add references if anyone is interested.)

Anyway, I am running a mixed effects model only on words that they respond to with "remember" or "know". The DV is whether they said remember or know, and I have various lexical properties as predictors.

This means that there will be a different number of observations per participant (as the number of "new" responses will differ). I would like to account for this. Is there any downside to including the number of trials per participant as a predictor?

(BTW I don't think a multinomial model with three response options and all trials included is what I want. I am only interested in remember vs know.)

/r/statistics
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2022-06-01 19:14:41 This Venn Diagram

/r/dataisugly
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2022-06-01 18:14:57 [OC] Death Penalty in Europe

/r/dataisbeautiful
https://redd.it/v2f2hj Open / Comment

2022-06-01 17:14:47 Any other data monkeys here who are bored out of their minds?

I'm in a data science/data analyst role that has very little real data science work. I've done other interesting and impactful things, but I've forgot a lot of the things from my data science masters program. I'm in the process of learning Python again (for what feels like the 10th time) and machine learning.

Anyone else out there who's trying to transition to a real data science role? I'm bored out of my mind and I'm looking into starting some Kaggle competitions and then eventually try to build something that will scrape data off the internet that we can use to build some ML algorithm using it.

If you're also at a super boring analyst job or a grad student, I'm open to connect.

I'm particularly interested in projects that mimic business problems like (time series forecasting, price prediction (not stocks but other assets), risk assessment like default rates, and other things in those categories.

/r/datascience
https://redd.it/v1u7ci Open / Comment