By Dominik Krzemiński and Krzysztof Sprycha   Data can be very powerful, but it’s useless if you can’t interpret it or navigate through it. For this reason, it’s crucial to have an interactive and understandable visual representation of your data. To achieve this, we frequently use dashboards. ...

The newest version of R package Factoshiny (2.2) is now on CRAN! It gives a graphical user interface that allows you to implement exploratory multivariate analyses such as PCA, correspondence analysis, multiple factor analysis or clustering. This interface allows you to modify the graphs interactively, it manages missing data, it gives ...

A client recently came to us with a question: what’s a good way to monitor data or model output for changes? That is, how can you tell if new data is distributed differently from previous data, or if the distribution of scores returned by a model have changed? This ...

If you are a professor teaching or a student enrolled in machine learning program or non-technical program with a machine learning hands-on lab becoming a member of the H2O.ai Academic Program will get you free access to non-commercial use of software license for education and research purposes. Since ...

In this blog post I will be adapting some code from the wonderful FC R Stats, a great football statistics resource – be sure to check out their tutorial for more detail on how to compose something like this. This post focuses a lot on writing functions in R, so check ...

The RStudio Conference in San Francisco last month was an amazing experience, and I will definitely attend again next year in Orlando. In this post, Pedro Coutinho Silva and I will share some packages and trends from the conference that might interest members of the R community who were unable ...

Daniel Oehm wrote this interesting blog about how to simulate realistic data using a Bayesian network. Bayesian networks are a type of probabilistic graphical model that uses Bayesian inference for probability computations. Bayesian networks aim to model conditional dependence, and therefore causation, by representing conditional dependence by edges in a ...

The newest version of R package fuzzySim (3.0) is now on CRAN! It includes new functions such as ‘favClass‘, ‘bioThreat‘ and ‘gridRecords‘; improvements to some functions, help files and examples; updated e-mail and citation information [ see citation(“fuzzySim”) ]; clarifications … Continue reading →

Create your first bar chart using geom_col() Fill bars with color using the fill aesthetic ggplot(___) + geom_col( mapping = aes(x = ___, y = ___, fill = ___) ) Introduction to bar charts Bar charts visualize numeric valu...