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 #067: R You Considering Python?  The Digital Analytics Power Hour on The Tidyverse Curse
 Python, R, SAS  Which is the most in demand Data Science Software? on Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind
 Bob Muenchen on The Tidyverse Curse
 Hilary Browning on The Tidyverse Curse
 Why you should learn R over SAS?  Skillenza Blog on Forecast Update: Will 2014 be the Beginning of the End for SAS and SPSS?
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Category Archives: Statistics
Free Webinar: Intro to SparkR
Are you interested in combining the power of R and Spark? An “Intro to SparkR” webinar will take place on July 15, 2015 at 10 am California time. Everyone is welcome to attend. Agenda: – What is SparkR? – Recent … Continue reading
Posted in Analytics, R, Statistics
14 Comments
Estimating Analytics Software Market Share by Counting Books
Below is the latest update to The Popularity of Data Analysis Software. Books The number of books published on each software package or language reflects its relative popularity. Amazon.com offers an advanced search method which works well for all the software except R … Continue reading
Posted in Analytics, R, SAS, SPSS, Stata, Statistics
16 Comments
R Now Contains 150 Times as Many Commands as SAS
by Bob Muenchen In my ongoing quest to analyze the world of analytics, I’ve updated the Growth in Capability section of The Popularity of Data Analysis Software. To save you the trouble of foraging through that tome, I’ve pasted it below. … Continue reading
Posted in Analytics, R, SAS, Statistics
25 Comments
I’ve Been Replaced by an Analytics Robot
It was only a few years ago when the N.Y. Times declared my job “sexy”. My old job title of statistician had sounded dull and stodgy, but then it became filled with exciting jargon: I’m a data scientist doing predictive analytics with … Continue reading
Posted in Analytics, Statistics, Uncategorized
12 Comments
Stata’s Academic Growth Nearly as Fast as R’s
by Bob Muenchen Analytics tools take significant effort to master, so once learned people tend to stick with them for much of their careers. This makes the tools used in academia of particular interest in the study of future trends … Continue reading
Posted in Analytics, R, SAS, SPSS, Stata, Statistics
28 Comments
Fastest Growing Software for Scholarly Analytics: Python, R, KNIME…
In my ongoing quest to “analyze the world of analytics”, I’ve added the following section below to The Popularity of Data Analysis Software: It would be useful to have growth trend graphs for each of the analytics packages I track, … Continue reading
Posted in Analytics, R, SAS, SPSS, Statistics
8 Comments
Google Scholar Finds Far More SPSS Articles; Analytics Forecast Updated
Only last August I wrote that among scholars, the use of R had probably exceeded that of SPSS to become their most widely used software for analytics. That forecast was based on Google Scholar searches focused on one year at a … Continue reading
Posted in Analytics, R, SAS, SPSS, Stata, Statistics
38 Comments
It’s Analytics Survey Time!
Every other year Rexer Analytics surveys Data Analysts, Predictive Modelers, Data Scientists, Data Miners, and all other types of analytic professionals, students, and academics regarding the software they use. I then update the main results in The Popularity of Data Analysis … Continue reading
Posted in Analytics, R, SAS, SPSS, Stata, Statistics
3 Comments
Helping Your Organization Migrate to R
by Bob Muenchen As the R programming environment has grown in capability and popularity, so have the number of organizations planning to migrate to it from proprietary tools. I’ve helped members of various organizations transition from SAS, SPSS and/or Stata to R (see Workshop … Continue reading
Posted in Analytics, R, Statistics
6 Comments
SAS is #1…In Plans to Discontinue Use
I’ve been tracking The Popularity of Data Analysis Software for many years now, and a clear trend is the decline of the market share of the bigger analytics firms, notably SAS and SPSS. Many people have interpreted my comments as implying … Continue reading
Posted in Analytics, R, SAS, SPSS, Statistics, Uncategorized
15 Comments