A couple of weeks ago, I had a discussion with a co-worker regarding a project I was involved in, I felt that there was no clear understanding of the daily challenges data scientists face. Few days later, I was at Rstudio::Conf 2017 where I met lots of data scientists from ... [Read more...]

Everyday statisticians, analysts and data enthusiasts perform data analysis for different purposes. But when it comes to presenting analyses to wider audience, the good work is not the complex one with big words. It is the one that highlights interesting relations, answers business questions or predict outcomes, and explain all ... [Read more...]

Few days ago, I wanted to explore the Climate Change: Earth Surface Temperature Data dataset published on Kaggle and originally compiled by Berkeley Earth. The dataset is relatively large as it contains entries from 1750-2014! [Read more...]

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! ... [Read more...]

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 ... [Read more...]

Once upon a data, there were outliers and influential observations in regression models. Using these models, we learnt that a common practice was to perform diagnostics checks to dig deeper and see how different points affect the fitted model or its coeffecients. So here we go! [Read more...]

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! [Read more...]