Simple Fast Exploratory Data Analysis in R with DataExplorer Package
Exploratory Data Analysis plays a very important role in the entire Data Science Workflow. In fact, this takes most of the time of the entire Data science Workflow. There’s a nice quote (not sure who said it): “In Data Science, 80% of time spent prepare data, 20% of time spent complain about the need to prepare data.” With R being the go-to language for a lot of Data Analysts, EDA requires an R Pr
What’s the difference between data science, machine learning, and artificial intelligence? | R-bloggers
R-bloggers R news and tutorials contributed by hundreds of R bloggers [This article was first published on Variance Explained, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. When I introduce myself as a data scientist, I often get questions like “What’s
The Data Science Venn Diagram — Drew Conway
On Monday I—humbly—joined a group of NYC's most sophisticated thinkers on all things data for a half-day unconference to help O'Reily organize their upcoming Strata conference. The break out sessions were fantastic, and the number of people in each allowed for outstanding, expert driven, discussions. One of the best sessions I attended focused on issues related to teaching data science, which inev
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