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What's in the really large values? #22
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Hi, @birdsarah I am an outreachy applicant, can I work on this? Do you have any suggestion as a starting point for me? |
Hi @AlbionaHoti no need to ask. I look forward to your contribution. This is a very open-ended question so what you make of it will be entirely your own. This notebook is a notebook that starts the conversation about the value column: https://github.com/mozilla/overscripted/blob/master/analyses/hello_mozfest.ipynb With that said that notebook is not a template. There are many things to explore in this column. Overall, I'm interested in the broad question: what's in the value column? And in very initial examinations I noticed that there are some very large values. This piqued my interest but I didn't have a chance to dig into it more. Please note that to work on this question you will need to have to make sure that you have a dataset that has the "value" column and not just the "value_1000" column. For a super open ended question like this, I would encourage you to be iterative: look at the dataset, write-up some findings, observations, notes, and then post a PR with your notebook before the deadline. We can then review and maybe riff off some new questions based on your findings. Hope this all makes sense. |
I would like also to work on this. |
@noahwalugembe. There are no assigned issues. Everyone is free to work on any research question. There are many possible analyses for a given research question. You are welcome to work on this question. I encourage you to read through all the available information including all the history of the chat from March 11 to today (https://gitter.im/overscripted-discuss/community) to get the most possible information to start any analysis work. |
Thanks am now working on it |
The
value
column contains some really large items, what's in there?An initial look by @dzeber found that there were some csv files containing football scores, but a systematic review hasn't been done.
Do any indicate a potential for a privacy / information loss?
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