There was a money quote from Michael Cavaretta, a data scientist at Ford Motor, in a recent article in The New York Times. The piece was about the challenges data scientists face going about their daily business. Cavaretta said: “We really need better tools so we can spend less time on data wrangling and get to the sexy stuff.” Data wrangling is cleaning data, connecting tools and getting data into a usable format; the sexy stuff is predictive analysis and modeling. Considering that the first is sometimes referred to as “janitor work,” you can guess which one is a bit more enjoyable.

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