Corporate identity graphics in R
This blog is about getting corporate identity graphics ready in R using ggplot. Many corporates have decent identity Powerpoint decks and Excel templates available to work with, they might even...continue reading.
This blog is about getting corporate identity graphics ready in R using ggplot. Many corporates have decent identity Powerpoint decks and Excel templates available to work with, they might even...continue reading.
This blog is about getting corporate identity graphics ready in R using ggplot. Many corporates have decent identity Powerpoint decks and Excel templates available to work with, they might even...continue reading.
In a sequence of articles we compare different NLP techniques to show you how we get valuable information from unstructured text. About a year ago we gathered reviews on Dutch...continue reading.
In a sequence of articles we compare different NLP techniques to show you how we get valuable information from unstructured text. About a year ago we gathered reviews on Dutch...continue reading.
As a data analyst you want to provide clear cut insights for your end users, enabling them to extract all the business value provided by your solution. If your end...continue reading.
As a data analyst you want to provide clear cut insights for your end users, enabling them to extract all the business value provided by your solution. If your end...continue reading.
As Data Scientists, we often train complex algorithms in order to tackle certain business problems and generate value. These algorithms, however, can take a while to train. Sometimes they take...continue reading.
As Data Scientists, we often train complex algorithms in order to tackle certain business problems and generate value. These algorithms, however, can take a while to train. Sometimes they take...continue reading.
When we’re working for clients we mostly come across the statistical programming languages SAS, SPSS, R and Python. Of these SAS and SPSS are probably the most used. However, the...continue reading.
When we’re working for clients we mostly come across the statistical programming languages SAS, SPSS, R and Python. Of these SAS and SPSS are probably the most used. However, the...continue reading.
Just something funny because it’s day. Enjoy! # clear your environment rm(list = ls()) # load the necessary libraries library(png) library(plotrix) # lab kleuren oranje <- rgb(228/255, 86/255, 65/255) donkergrijs <-...continue reading.
Just something funny because it’s pi day. Enjoy! # clear your environment rm(list = ls()) # load the necessary libraries library(png) library(plotrix) # lab kleuren oranje <- rgb(228/255, 86/255, 65/255)...continue reading.
New Year – a new chapter, new verse, or just the same old story ? Ultimately we write it. The choice is ours. ― Alex Morritt The Analytics Lab and...continue reading.
New Year – a new chapter, new verse, or just the same old story ? Ultimately we write it. The choice is ours. ― Alex Morritt The Analytics Lab and...continue reading.
rm(list = ls()) library(ggplot2) # create data x <- c(8,7,6,7,6,5,6,5,4,5,4,3,4,3,2,3,2,1,0.5,0.1) dat1 <- data.frame(x1 = 1:length(x), x2 = x) dat2 <- data.frame(x1 = 1:length(x), x2 = -x) dat1$xvar <- dat2$xvar <-...continue reading.
rm(list = ls()) library(ggplot2) # create data x <- c(8,7,6,7,6,5,6,5,4,5,4,3,4,3,2,3,2,1,0.5,0.1) dat1 <- data.frame(x1 = 1:length(x), x2 = x) dat2 <- data.frame(x1 = 1:length(x), x2 = -x) dat1$xvar <- dat2$xvar <-...continue reading.
A little while ago I ran into an issue with R and RStudio. In order to solve this issue I saw myself forced to remove all user installed packages. For...continue reading.
A little while ago I ran into an issue with R and RStudio. In order to solve this issue I saw myself forced to remove all user installed packages. For...continue reading.