What to keep in mind when creating dual axis charts?
Like with most other charts, dual axis charts have their good and bad. They are often used to compare two data series in a small amount of space.
Like with most other charts, dual axis charts have their good and bad. They are often used to compare two data series in a small amount of space.
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 Framework Heatmaps consist of multivariate data plotted in rows and columns in a matrix-like fashion. Cell AE, for instance, is based on the relationship between cells A and E. When to…
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 of forms, look for relationships between the variables, look for outliers, patterns and trends in data. One way to do that is using measures…
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 no candies or sweets for me. To satisfy my sweet tooth, I thought it would be fun to use a candy data set to learn…