CategoriesVisualizing Data Tags R Programming Text Mining WordCloud Having state election coming soon in Victoria (Australian state where I live) I decided to make a quick analysis and compare what politicians from major Australian party’s post in their Twitter accounts. I have collected Twitter hanldes of Australian Parliament members (...

OpenCPU provides a mature and robust system for hosting R based services. The server exposes a simple HTTP API for calling R functions, scripts and managing data. The Cloud Server is completely free and scales up to many concurrent users. T...

A Le Monde mathematical puzzle from after the competition: A sequence of five integers can only be modified by subtracting an integer N from two neighbours of an entry and adding 2N to the entry.  Given the configuration below, what is the minimal number of steps to reach non-negative entries ...

library(broom) library(cluster) library(dplyr) library(ggplot2) library(ggdendro) In the first part of this blog series, we examined the theoretical foundations of cluster analysis. In the following article we put the theory into practice using R. For the analysis in R, we will use the variables mpg (fuel ...

While there is more and more data available in structured formats (CSV, JSON) through initiatives like OpenData, sometimes nicely formatted data still not publicly available. When I decided to conduct a little study of what Australian politicians from the major party post in Twitter. So I decide to find list… ...

I like both Python and R, and teach them both, but for data science R is the clear choice. When asked why, I always note (a) written by statisticians for statisticians, (b) built-in matrix type and matrix manipulations, (c) great graphics, both base and CRAN, (d) excellent parallelization facilities, etc. ...

Recently, I have introduced sensitivity and specificity as performance measures for model selection. Besides these measures, there is also the notion of recall and precision. Precision and recall originate from information retrieval but are also used in machine learning settings. However, the use of precision and recall can be problematic ...

The idea of having a 360 degree view of the entire job seeking and matching landscape has always been a dream of any labour economist. Just imagine, a dataset of CVs and job seekers matched with job advertisements and openings! The potential of such a dataset to answer existing questions on ...