Although SQL is an obvious choice for retrieving the data for analysis, it strays outside its comfort zone when dealing with pivots and matrix manipulations. R includes a number of packages that can do these simply. By combining the two, you can prepare your data for analysis or visualisation in R more efficiently.… Read more
Whereas it is easy to provide inline documentation for a normal scripted
PowerShell cmdlet or function so as to provide comprehensive help at the command-line or IDE, the same isn't true of binary cmdlets written in C#. At last, there is an open-source utility to assist with this that is being actively
maintained and updated. At last, binary cmdlets need no longer be the poor cousins of scripted cmdlets in their documentation… Read more
Not only can you easily retrieve data from SQL Sources for analysis and visualisation in R, but you can also use SQL to create, clean, filter, query and otherwise manipulate datasets within R, using a wide choice of relational databases. There is no reason to abandon your hard-earned SQL skills!… Read more
It isn't just the attraction of the huge range of statistical analyses afforded by R that attracts data people to R. The language has also developed a rich ecosystem of charts, plots and visualisations over the years. In his second article about R Basics, Casimir Saternos shows how to get started with the three best-established graphics systems in R.… Read more
For exploring data and doing open-ended statistical analysis on it, nothing beats the R language. Over the years, this open-source tool has come to dominate the way we do analysis and visualization; It has attracted a rich and varied collection of third-party libraries that has given it remarkable versatility: But how do you get started? Casimir explains how to get started, and get familiar with the way it works. … Read more
