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.

# Category: Blog

## Basic statistics for exploring data : Measures of Variation

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.

## What are dot plots in data visualization?

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.

## What are heatmaps and what is a good way to use one?

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

## Basic statistics for exploring data : Measures of Centre

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

## 4 ways to visualize Likert Scales

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 Data

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