During my undergraduate days as a statistics student, I tried various data analysis tools to find the ideal one. I started ...

If it’s a 2-dimensional table of data stored in an R data frame object with rows and ... regressions, ANOVA (analysis of variance between groups) and more. will give you a matrix of correlations ...

That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python.

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

In recent trading, shares of Ryder System, Inc. (Symbol: R) have crossed above the average analyst 12-month target price of $165.67, changing hands for $166.34/share. When a stock reaches the ...

For non-data-wonk professionals, R can make pretty pictures of complex ... It's not that this type of analysis wasn't possible before - statisticians have existed, and commercial software has ...

You’ll have exceptional data analysis skills and experience with advanced analytical packages, such as Python and R. You’ll have a proven ability to spot stories in data and know how to communicate ...