Data Debased

I made this quick and dirty dashboard out of some SAMHSA datasets on drug use. (For you data tech stack nerds out there, I mainly used Tableau — as you can probably tell — and Excel for this, but there was even a bit of SQL and Python for this. I probably could have just…

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Ah, the [in]famous Global Superstore. If you’ve learned and practiced Tableau, you have likely come across this legendary dataset, comprised of fake information from some imaginary global superstore. Accordingly, the imaginative proper noun title they have given to this global superstore is Global Superstore. Succinct. While messing around with this data, I started to realize…

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NOTE: This post is available in a much more aesthetically pleasing and interactive format over at https://www.kaggle.com/alexepperly/analyzing-credit-card-fraud-with-r-part-i. You should totally go there instead. Don’t be stubborn. Do it. Still here, huh? Well, I suppose you are lazy, like the rest of those people on the internet. This is what my R Studio looks like. Just…

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After I finished up the last project on DC’s homicides by police work shift and ward, I decided I wanted to use SQL to clean the data a little more, and this time analyze the method used to commit the homicides.  The three variables possible in this dataset for method are: Gun Knife Others “Others”…

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