SWIMMING THE DATA LAKE

Hints & Discoveries on my path to knowledge

• 2019/05/23 one function a day: multiway tables with ftable
  it´s usual to make confusion tables or cross tables when we have vectors of same lenght to compute and cross classify them, but some other issues aris... read more
  


• 2019/05/16 one function a day: filldown
  Sometimes we need to fill the values in a vector with previous values when data is missing. I wrote some convoluted code to do that but, as usual, som... read more
  


• 2018/08/06 Dockerized Spacemacs on Windows
  I was talking the other day of setting Spacemacs on Windows with no privileges. Sometimes it’s not even possible to do so, but you have Cygwin/m... read more
  


• 2018/07/22 Back to Basics (Emacs + ESS + zsh + byobu)
  I think i’m a little bit “old school” or maybe sometimes you have to use the right tool for the task. Some time ago, i discovered I... read more
  


• 2018/05/29 My favourite snippets
  A hidden gem from Rstudio is snippets feature. A well known option in any other editor (Atom, VS Code, Notepad ++….) seems that for R people is... read more
  


• 2018/05/09 using inotify for long running R scripts
  Sometimes your Rscript takes a long time to run. Not for computation requirements but for the kind of processes involved, for instance when calling AP... read more
  


• 2018/02/12 My imposter syndrome
  There’s a well known issue about the psychology of the majority of people working on Data Science. They feel a fraud. There’s no public st... read more
  


• 2018/01/09 My package finally on CRAN
  Finally, my package “spanish” was ready for submission on CRAN and now it’s published! Not a great piece of work, just a place to ga... read more
  


• 2017/12/05 Great packages for understanding your data
  On the first steps of any project, the most usual task is to take a glimpse, figure how our data is distributed, and as fast as possible, be ready for... read more
  


• 2017/12/04 Explainers: when your R model needs to be explained
  When working on Machine Learning for classification and predictive models we tend to use the well known packages as randomforest, caret, xgboost, gbm... read more
  


• 2017/11/21 Geocoding with R and mapZen
  The most widely used service for Geocoding is Google Maps, but you’d hit the limits early in your project if you don’t have a paid account... read more
  


• 2017/11/20 Atom for R: keeping settings in sync
  Last week I was working on some projects involving Posix and R code. I tend to use Atom Editor for such code instead of Rstudio, and sometimes I think... read more
  


• 2017/11/19 My Docker images for R
  This month I reached the dreaded “2 hours limit” at Docker Hub on building my Docker images. The images are built but the message shown is... read more
  


• 2017/11/04 Easy library installing and loading
  I tend to use package managers for library load and management: pacman https://cran.r-project.org/web/packages/pacman/vignettes/Introduction_to_pacman... read more
  


• 2017/10/27 Rocker: Docker for Rstats
  Last Tuesday (October 24th) I was at Madrid R User Group to give a tech talk about using Docker for automating our setup with Rstudio. Using Rocker im... read more
  


• 2017/10/16 Spanish Stopwords for tidytext package
  A clever friend of mine says: the main programming language, is not Java or Python but English. So, when you’re searching for help, you’ll... read more
  


• 2017/08/29 Selecting packages while coding
  Sometimes, you must choose a package to achieve some results while you’re coding. Let’s say, you’re wrangling data and noticed you n... read more
  


• 2017/08/12 calculating date diffs per event with dplyr
  Sometimes you’d need to calculate rolling date diffs from a vector or a data frame when you’re manipulating repeated events from different... read more
  


• 2017/08/07 How to navigate the world of R packages
  One of the most powerful features of R is the vast package echosystem. But there’s more than 11.000 packages just in CRAN, and a thousands more... read more
  


• 2017/07/31 Docker for R, first steps
  Sometimes, you need to replace your hard disk, upgrade your o.s. or recently bought a new laptop. When this time comes, it’s a real pain to get your R... read more
  


• 2017/07/27 janitor, a good R package for Data Wrangling
  We all know the many hours spent cleaning and wrangling data. Sometimes I think my actual job is not “Data Scientist” but “Data Cleaner”. Data, as you... read more
  


• 2017/07/23 Processing mail using R
  After a long time seeking for R packages to connect to a remote mailbox (not Gmail), I’ve had to admit that there’s no such feature right now in R. Te... read more
  


• 2017/07/20 file.choose: empowering useRs
  Sometimes when sharing your analysis, via Rmarkdown or the brand new NoteBook, the data file is located at the user’s computer, making unusable the de... read more
  


• 2017/07/19 3D chart using rgl library
  Iris is one of the most used data set in R. We’ve seen it in many formats, and broadly used for data manipulation. You could say that there’s nothing... read more
  


• 2017/07/18 managing installation and packages in R: installR & pacman
  Mentioned yesterday the useful library pacman , so a brief comment about it is due. But I’m going to recommend installR for managing updates fir... read more
  


• 2017/07/17 Easy Rstudio add-in management with addinslist package
  When started using Rstudio (some time ago) I had been wondering where the Rstudio Addins were located. There’s a menu option, but It was empty on my m... read more
  


• 2017/07/17 fourfoldplot: A prettier confusion matrix in base R
  Working with R, it’s high likely you end with a table regarding to dichotomous variables in your datasets no matter the specific project you’re involv... read more
  


• 2017/07/15 Some essential R packages
  For me, there’s a bunch of packages considered as “essential” ‘cause in the end, sooner or later I use them in any project that involved opening the R... read more
  


• 2017/07/12 First thing first: Thanks!
  First things first. Question of etiquette, when starting a blog like this, mainly focused on Data Science with R, is to acknowledge all the people and... read more