This article was first published on the toptal.com blog . Additionally be noticed that my blog is migrating to new host due to GitHub Pages drops support for RDiscount, Redcarpet, and RedCloth ...
https://jangorecki.github.io/blog/2016-06-30/Boost-Your-Data-Munging-with-R.html
I was recently browsing stackoverflow.com (often called SO) for the most voted questions under R tag . To my surprise, many questions on the first page were quite well addressed with the data.ta...
R can handle fairly big data working on a single machine, 2B (2E9) rows and couple of columns require about 100 GB of memory. This is already well enough to care about performance. With this po...
https://jangorecki.github.io/blog/2015-11-23/data.table-index.html
When writing a long function which has to deal with multiple checks and complex processes, it is valuable to put comments in the function body. This allows readers (including you) to catch the co...
https://jangorecki.github.io/blog/2015-09-18/Function-body-documentation.html
Have you ever think about accepting payments in your shiny app? Probably not, but now you can start ;) Shiny apps are usually single task, not very heavy websites. It may be not so easy to turn...
https://jangorecki.github.io/blog/2015-08-04/Accept-payments-in-shiny-app.html
Under this link you can find today's slides from the Cardiff R User Group meeting. On the slides you may find interesting packages from the Data Warehousing / ETL perspective. Including few exa...
https://jangorecki.github.io/blog/2015-06-30/Data-Warehousing-with-R.html
Auditing data transformation can be simply described as gathering metadata about the transformation process. The most basics metadata would be a timestamp, atomic transformation description, data...
Some people find very hard to start using R because it has no GUI. There exists some GUIs which offers some of the functionality of R. In this post I would like to focus on one such GUI, a ver...
Business Intelligence (BI) can be simply described as extracting useful informations from the data. This is quite a broad process as the source data structure (and quality) can vary, as well the ...
USE CASES Public reports. Public data sharing, e.g. R packages download logs from CRAN's RStudio mirror - cran-logs.rstudio.com - mask ip addresses. Reports or data sharing for external vendo...
https://jangorecki.github.io/blog/2014-11-07/Data-Anonymization-in-R.html