It has been inspiring to watch how Hans Rosling gave impressive talks about numbers and statistics. If you haven’t seen any of his great presentations, here is one example: Chances are that you probably haven’t seen him showing his wild side before. I just saw this article, “Hans Rosling: the man who makes statistics sing“, […]
Introduction I saw an interesting problem that requires Bayes’ Theorem and some simple R programming while reading a bioinformatics textbook. I will discuss the math behind solving this problem in detail, and I will illustrate some very useful plotting functions to generate a plot from R that visualizes the solution effectively. The Problem The following question is […]
Introduction This is a follow-up post to my recent introduction of histograms. Previously, I presented the conceptual foundations of histograms and used a histogram to approximate the distribution of the “Ozone” data from the built-in data set “airquality” in R. Today, I will examine this distribution in more detail by overlaying the histogram with parametric […]
Introduction Continuing my recent series on exploratory data analysis (EDA), today’s post focuses on histograms, which are very useful plots for visualizing the distribution of a data set. I will discuss how histograms are constructed and use histograms to assess the distribution of the “Ozone” data from the built-in “airquality” data set in R. In […]
I recently presented about the mechanics of data visualization at the CLaRI Literacy Conference to a group of researchers, teachers and school administrators. The presentation is based on the work of Few (2012; 2009). While the presentation itself is not about … Continue reading →
In the early morning, especially here in Canada, I often see dew – water droplets formed by the condensation of water vapour on outside surfaces, like windows, car roofs, and leaves of trees. I also sometimes see fog – water droplets or ice crystals that are suspended in air and often blocking visibility at great […]
This blog post uses a function and a script written in R that were displayed in an earlier blog post. Introduction This is the second of a series of blog posts about simple linear regression; the first was written recently on some conceptual nuances and subtleties about this model. In this blog post, I will use […]
Why I used html5 for my today’s talk? My last presentation was in html5. This time I wanted to do my slides in something new. I prepared first few slides in Jessyink. Then I got to know that my friend … Continue reading →The post Data visualisation talk: Presentation using reports package appeared first on Fiddling with data and code.
I learned about Lord Rayleigh’s discovery of argon in my 2nd-year analytical chemistry class while reading “Quantitative Chemical Analysis” by Daniel Harris. (William Ramsay was also responsible for this discovery.) This is one of my favourite stories in chemistry; it illustrates how diligence in measurement can lead to an elegant and surprising discovery. I find […]
What’s the Scatter? A scatter plot displays the values of 2 variables for a set of data, and it is a very useful way to visualize data during exploratory data analysis, especially (though not exclusively) when you are interested in the relationship between a predictor variable and a target variable. Sometimes, such data come with categorical […]
