The visualisation presents the raw data, the data's mean, median, and standard deviation, as well as a box plot, a notch plot, and a violin plot, all in a simple and straightforward format.
Barplots show the relationship between a numeric and a categorical variable. Order simple, stacked, and grouped barplots. Message us in our chatbox if you want to know more.
A boxplot displays data distribution using a five-number summary (minimum, first quartile, median, third quartile, and maximum), along with the outliers' values.
Using polar coordinates instead of cartesian ones, a circular barplot is functionally identical to a standard barplot. It works very well with cyclical data and sees a lot of application in that context.
A Sankey plot shows flows between entities (nodes) using arrows-arcs. Analysts can easily identify the most important contributions because each flow has a different height. This makes data interpretation easy.
To visualise the relationship between two numerical variables, a Scatterplot plots each observation as a dot on an X (horizontal) and Y (vertical) axis whose values correspond to the observed values of the variables.
When comparing the points of two or more data sets, spider or radar plots are useful because they show the relationship between multiple data points and the variation between them.
