So you are using this pipeline to have data treated by different functions in R. For example, you may be imputing some missing values using the simputation package. Let us first load the only realistic dataset in R __ data(retailers, … Continue reading →

Skewed data prevail in real life. Unless you observe trivial or near constant processes data is skewed one way or another due to outliers, long tails, errors or something else. Such effects create problems in visualizations when a few data elements are much larger than the rest. Consider U.S. 2016 ...

What's that? You've heard of R? You use R? You develop in R? You know someone else who's mentioned R? Oh, you're breathing? Well, in that case, welcome! Come join the R community! We recently had a group discussion at rOpenSci's #runconf17 in Los Angeles, CA about the R community. ...

Face Recognition in R OpenCV is an incredibly powerful tool to have in your toolbox. I have had a lot of success using it in Python but very little success in R. I haven’t done too much other than searching Google but it seems as if “imager” and “videoplayR” ...

Two hundred and twenty-nine new packages were submitted to CRAN in May. Here are my picks for the “Top 40”, organized into five categories: Data, Data Science and Machine Learning, Education, Miscellaneous, Statistics and Utilities. Data angstroms v0.0.1: Provides helper functions for working with Regional Ocean Modeling System (ROMS) output. bikedata ...

Last Friday marked my two year anniversary working as a data scientist at Stack Overflow. At the end of my first year I wrote a blog post about my experience, both to share some of what I’d learned and as a form of self-reflection. After another year, I’d ...

By Yuri Resende   Today we will use an online convex optimization technique to build a very simple algorithm for portfolio allocation. Of course this is just an illustrative post and we are going to make some simplifying assumptions. The … Continue reading →

Introduction Most of the data readily available in the real world comes unlabeled. Getting the labels often entails manual classification, which can be a tedious and […] The post Cluster Analysis of Twitter: Understanding Human Interactions for Business Improvement appeared first on NYC Data Science Academy Blog.