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Category Archives: R
Data Science Tool Market Share Leading Indicator: Scholarly Articles
Below is the latest update to The Popularity of Data Science Software. It contains an analysis of the tools used in the most recent complete year of scholarly articles. The section is also integrated into the main paper itself. New … Continue reading
Posted in Analytics, Data Science, Python, R, SAS, SPSS, Stata, Statistics, Uncategorized
4 Comments
Dueling Data Science Surveys: KDnuggets & Rexer Go Live
What tools do we use most for data science, machine learning, or analytics? Python, R, SAS, KNIME, RapidMiner,…? How do we use them? We are about to find out as the two most popular surveys on data science tools have … Continue reading
Posted in Data Science, Python, R, SAS, Statistics
3 Comments
GroupBy Modeling in R Made Easy
There are several aspects of the R language that make it hard to learn, and repeating a model for groups in a data set used to be one of them. Here I briefly describe R’s builtin approach, show a much … Continue reading
Posted in Data Mangement, Data Science, R, Uncategorized
8 Comments
Keeping Up with Your Data Science Options
The field of data science is changing so rapidly that it’s quite hard to keep up with it all. When I first started tracking The Popularity of Data Science Software in 2010, I followed only ten packages, all of them classic … Continue reading
Posted in Analytics, Data Science, Python, R, Statistics, Uncategorized
2 Comments
Python and R Vie for Top Spot in Kaggle Competitions
I’ve just updated the Competition Use section of The Popularity of Data Science Software. Here’s just that section for your convenience. Competition Use Kaggle.com is a web site that sponsors data science contests. People post problems there along the amount … Continue reading
Posted in Data Science, Python, R
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The Tidyverse Curse
I’ve just finished a major overhaul to my widely read article, Why R is Hard to Learn. It describes the main complaints I’ve heard from the participants to my workshops, and how those complaints can often be mitigated. Here’s the only … Continue reading
Posted in Data Science, R
17 Comments
Forrester’s 2017 Take on Tools for Data Science
In my ongoing quest to track The Popularity of Data Science Software, I’ve updated the discussion of the annual report from Forrester, which I repeat here to save you from having to read through the entire document. If your organization … Continue reading
Posted in Analytics, Data Science, R, SAS, SPSS
2 Comments
Jobs for “Data Science” Up 7fold, for “Statistician” Down by Half
The Bureau of Labor Statistics projects that jobs for statisticians will grow by 34% between 2014 and 2024. However, according to the nation’s largest job web site, the number of companies looking for “statisticians” is actually in sharp decline. Those … Continue reading
Posted in Analytics, Data Science, R, SAS, Statistics, Uncategorized
1 Comment
Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind
I’ve just updated another section of The Popularity of Data Science Software. It is reproduced below to save you the trouble of reading the entire article. If your organization is looking for training in the R language, you might consider my … Continue reading
Posted in Analytics, Data Science, R, SAS, SPSS, Statistics, Uncategorized
10 Comments
Gartner’s 2017 Take on Data Science Software
In my ongoing quest to track The Popularity of Data Analysis Software, I’ve finally decided to change the title to use the newer term “data science”. The 2017 version of Gartner’s Magic Quadrant for Data Science Platforms was just published, … Continue reading
Posted in Analytics, Data Science, R, SAS, SPSS, Uncategorized
1 Comment