Removing unnecessary elements when communicating with charts can greatly impact the effect the chart has on your audience. If a chart appears complex, we assume it is hard to read.
Measures of variation describe the width of a distribution. They define how spread out the values are in a dataset. In this article, we will look at 4 measures of variation and when to use them.
Dot plots use dots to represent the position of value on the axis. They are useful for comparisons and are a good replacement for bars or clustered bars.
Heatmaps visualize data through variations in coloring. Heatmaps are self-explanatory and are a great way to show to a general view of data. Heatmap FrameworkHeatmaps consist of multivariate data plotted… Read More
The famous statistician John W. Tukey created a branch of data analysis called Exploratory Data Analysis.In exploratory data analysis we get familiar with data, ask questions, visualize data in a number… Read More
Halloween just went by and it is Diwali this week in India – which means there are a lot of sweets around. I am on a no-sugar diet now, so… Read More
Visualizing Survey DataWorking back to back on 3 survey visualization projects, I have come to realise that visualizing survey data can be pretty standard for the most part. Yes, every… Read More