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@jordantcarlisle It isn't skill-based, rather it's characteristics, but @CliftonStrength is accurate, helpful, and easily transferable. We wear our top 5 summaries on our badges at work. Very simple visualizations we end up pulling people into projects or convos based on their top 5.
@jordantcarlisle When I did this recently, I stumbled upon @kaggle and found it to be really useful for light experimentation and implementing what I'm learning in Python and data libs. GCP was like the entire kitchen sink (good & bad) and would make switching to prod smoother. Have fun man!
@jordantcarlisle Effect size is key. Any multinational RCT studies done on this? I'd also be interested in Confirmatory Factor Analysis based studies to rule out confounding factors like blue light, urban planning impact on pedestrian activity, etc.
@jordantcarlisle@reincubate Yes! They've made it very easy. I mostly use @Zoom and @Google for video conferencing. In both platforms I can select Camo from the drop-down in video settings.
@jordantcarlisle Review calendar with wife. Double check supply on food for the kids' lunches this week and make online orders if needed. Look at free nights for time with people or personal time. Very good music and video games for a night cap!
@jericwilson@WallHalen And I'm not referring to just anyone else. Think the sister who is a nurse, friend who is a pharmacist, mother who is an immunologist. Data literacy from a highly credible stranger is weaker than apparent data literacy from a close friend or family member.
@jericwilson I like this question and @WallHalen's follow-up. I think people have made up their mind, but could be convinced if the right person they know made the decision. Data illiteracy puts people in the position of trusting someone else who has data literacy (for or against).
@PewStates Do you have anything similar about organizations or non-profits? I expect to learn a lot from this, but how much is generalizable to orgs/NPOs?