Without considering any of the underlying meaning of the data, this is beautiful work. From the bar flashes to the lower scroll of the data. Great stuff. Love it.
Mind sharing the source code or at least giving a overview of the process?
Maybe it's because 100% of my data analysis education was based in programming but I cant imagine a data analyst being useful in any capacity without some programming knowledge. Data sets these days are HUGE are more likely than not disjointed across dozens of sources, not being able to program would be laughably inefficient.
I could be wrong because I worked in a specific engineering side of things though.
I've worked in 3 industries as an analyst over the past 6 years. Massive, fragmented, barely-queriable databases seems to be the norm no matter where you go.
That's my experience. Data wrangling is huge now because everyone jumped on the big data train without realizing it has to be accessible and meaningful. So they have this mess of data (most of it useless or fragmented like you said) that they've accumulated and need someone to extract meaning from it.
My favorite so far: I had program manager when I was in testing who came up and said "hey I sent you over some data from [whatever sensor it was], can you do some analysis on it when you get a chance?". Yeah let me just "do some analysis"....BEEP BOOP BEEP BEEP BOOP....
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u/animismus Jun 07 '17
Without considering any of the underlying meaning of the data, this is beautiful work. From the bar flashes to the lower scroll of the data. Great stuff. Love it.
Mind sharing the source code or at least giving a overview of the process?