Articles by R | TypeThePipe

Analyzing Remote Work in European Countries

June 13, 2021 | R | TypeThePipe

1. Data downloading As we always do, we are going to connect and download the desired data. In this case, our data source is the Eurostat. We download and read the data file. library(tidyverse) download.file("https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/LFSA_EHOMP/?format=SDMX-CSV&compressed=...

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Analyzing data from COVID19 R package

May 26, 2020 | R | TypeThePipe

Introduction The idea behind this post was to play and discover some of the info contained in the COVID19 R package which collects data across several governmental sources.This package is being developed by the Guidotti and Ardia from COVID19 Data Hub. Later, I will add to the analysis the ...

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Calculating ratios with Tidyverse

May 12, 2020 | R | TypeThePipe

Calculating percentages is a fairly common operation, right? However, doing it without leaving the pipeflow always force me to do some bizarre piping such as double grouping and summarise. I am using again the nuclear accidents dataset, and trying to calculate the percentage of accidents that happened in Europe each ... [Read more...]

Preserving zero-length groups

May 8, 2020 | R | TypeThePipe

This week I learned about another neat trick with tidyverse functions: the argument .drop from the group_by function. To showcase this functionality I made up a simple example with this dataset consisting of nuclear accidents data. original_data % mdy() %__% year(), In_Europe = if_else(Region %in% c("EE", "WE"), ...

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Playing with a new R package; Welcome ggcharts!

March 31, 2020 | R | TypeThePipe

Yesterday I was playing with the new and first Thomas Neitman’s CRAN package! Its documentation reminded me that more than a year ago Type The Pipe did a talk series about text mining. In one of them, we analized the reviews of the most important spanish banking APPs. One ...

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Speed up your R scripts. A cool optimized way to load, write and store big data frames with FST package!

March 29, 2020 | R | TypeThePipe

Are you trying to save and load your DL model or a big dataset in R? Here we show you a performance boost to your scripts and reduction in disk memory storage with the FST CRAN package. We are going to benchmark it with R base functions (csv and RDS ...

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Drop columns based on NAs percentage in R

March 22, 2020 | R | TypeThePipe

Are you developing an automated exploration tool? Here we propose some alternatives to drop columns with high percentage of NAs. In this previous tip we talk about BaseR vs Tidy & Purrr counting NAs performance. Not leaving the pipeflow. How much does it cost?;) It depends on the NA distribution between ...

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Tidylog. Logging your pipelines

January 20, 2020 | R | TypeThePipe

Some time ago I made one of the best discoveries I have ever made in the Tidyverse: a tool called tidylog. This package is built on top of dplyr and tidyr and provides us with feedback on the results of the operations. Actually, this is a feature that already appeared ... [Read more...]

Tidylog

January 20, 2020 | R | TypeThePipe

Pathfinding Algorithms Visualizer using R! (I) Setting up the interactive grid

January 20, 2020 | R | TypeThePipe

Here you can find the R code. It’s an ‘in progress’ script. I will develop basic features like: ploting/rendering code refactoring; GGanimate with the algortihm steps moving forward; and, of course, several pathfinding algorithms and evolutionary ones. All these features and much more in following posts! Stay tuned! ... [Read more...]

Using summarise_at(). Weighted mean Tidyverse approach

January 15, 2020 | R | TypeThePipe

Supose you are analysing survey data. You are asked to get the mean in a representative way, weighting your individuals depending on the number of members of their segment. library(tidyverse) survey_data % group_by(region1, region2, gender) %__% mutate(weight = 1/n()) %__% ungroup() %__% summarise_at(vars(contains("q")), funs(weighted_mean = ... [Read more...]

Skills chart using Gplot2 with R

January 6, 2020 | R | TypeThePipe

In this TypeThePipe tip we are bringing you a skills plot template using R and ggplot2. Maybe its a good idea to evolve this plot and add an unique skill plot to your CV. And it’s only a few lines of R code! You can see the code below :) ...

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Reordering bars in GGanimate visualization

December 15, 2019 | R | TypeThePipe

Last week several gganimate visualizations came to my feed. Some R users were wondering about reordering gganimate and ggplot2 bars as long as them are evolving (over animation time). Then, we came up with this R viz where several bars are not only evolving and reordering over time but leaving ... [Read more...]

Shadowing your ggplot lines. Forecasting confidence interval use case.

November 17, 2019 | R | TypeThePipe

Yesterday I was asked to easily plot confidence intervals at ggplot2 chart. Then I came up with this shadowing ggplot2 feature called geom_ribbon(). It’s not a trivial issue as long as you need to gather your data in order to achieve a tidy format. When you already have ...

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Conditional Pipes

November 1, 2019 | R | TypeThePipe

How could we apply certain functions conditionally without leaving the pipeflow? This way: df %__% { if(apply_filter == TRUE) filter(., condition) else . } %__% ... [Read more...]

Filtering a data frame by condition on multiple columns

October 4, 2019 | R | TypeThePipe

Some times you need to filter a data frame applying the same condition over multiple columns. Obviously you could explicitly write the condition over every column, but that’s not very handy. For those situations, it is much better to use filter_at in combination with all_vars. Imagine we ... [Read more...]

Counting NAs by column in R

October 1, 2019 | R | TypeThePipe

Are you starting your data exploration? Do you want to have an easy overview of your variable NA percentage? We create a function to benchmark different ways of achieving it: library(microbenchmark) library(tidyverse) benchmark_count_na_by_column % summary(), # Numeric output colSums(is.na(dataset)), sapply(dataset, function(x) ... [Read more...]

Turn your GGplot to 3D animation. Awesome 2D to 3D plots in R with Rayshader

July 26, 2019 | R | TypeThePipe

In 7 minutes reading, You will learn how to turn your ggplot visualizations into amazing interactive 3D plots you can export or embed in HTML/Rmarkdown. Or even better, you will export as mp4 an animation rotating the figure. As a use case, we are going to join the Spanish demographic ... [Read more...]

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Articles by R | TypeThePipe

Analyzing Remote Work in European Countries

Analyzing data from COVID19 R package

Calculating ratios with Tidyverse

Preserving zero-length groups

Playing with a new R package; Welcome ggcharts!

Speed up your R scripts. A cool optimized way to load, write and store big data frames with FST package!

Drop columns based on NAs percentage in R

Tidylog. Logging your pipelines

Tidylog

Pathfinding Algorithms Visualizer using R! (I) Setting up the interactive grid

Using summarise_at(). Weighted mean Tidyverse approach

Skills chart using Gplot2 with R

Reordering bars in GGanimate visualization

Shadowing your ggplot lines. Forecasting confidence interval use case.

Conditional Pipes

Filtering a data frame by condition on multiple columns

Counting NAs by column in R

Turn your GGplot to 3D animation. Awesome 2D to 3D plots in R with Rayshader

Articles by R | TypeThePipe

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