Lessons Learnt About Data Viz - Why a Boxplot Is Sometimes The Worst Choice?

Data visualization is a means of visual communication that should help people understand the significance of data easily and see interesting trends, patterns, distributions,..etc. If your audience fails to grasp the message that was intended to be conveyed by the graph, they are not to be blamed. You are! or to be precise, your choice of the graphical representation of the data. I knew all that, and I used to spend time thinking about the best chart to convey a certain message or to highlight an interesting behavior. [Read More]

R googleVis Line Motion Charts with Modified Options

Using googleVis via R provides lots of options to create nice google visualizations. I was trying to create some charts while exploring the Annual Nominal Fish Catches Data on Kaggle. I wanted to create a line motion chart and exclude the default bubble chart. So I played with the options to get the desired result. The following is a quick explanation of how to do that. Fish Catches Dataset The dataset provides the annual TLW (tonnes live weight) catches of fish and shellfish in the Northeast Atlantic region. [Read More]

Leverage and Influence in a Nutshell

In regression models, we frequently face the situation where we need to look at outliers and influential observations. We know that a common practice is to perform diagnostics checks to dig deeper and see how different points affect the fitted model or its coeffecients. In this post, we will focus on two concepts (leverage and influence), but we will not dig deep into the math behind them. We will try to visualize and catch the intuition behind them first. [Read More]

A shout Out to R bloggers

Since I started to work with R, I became a frequent visitor to R-bloggers web site where I find a variety of helpful tips and tutorials. Now, as I started my own blog, it is time to give a shout-out to them!