Calculate statistics

Quick Statistics using Inspect

You can quickly access some summary statistics of any node you select using the Inspect agent located at the top of the right-hand side drawer.

• count: the number of successors your selected node has
• sum: the sum of all outgoing edge weights
• mean: the average outgoing edge weight
• std: the standard deviation of outgoing edge weights
• min: the minimum value amongst the outgoing edge weights
• min: the maximum value amongst the outgoing edge weights

For example, simply by selecting the numeric feature "Price" from a dataset describing some wine varieties tells us that in total there are 23,375 wines considered in this dataset, the sum of all their prices is £829,043, the mean price is £35.47, with a standard deviation of £40.83, minimum price of £4 and maximum price of £2,500.

Group By Statistics

Group your data according to the category supplied in Group By, applying one of the following functions to these categories: Sum, Count , Mean, Std, Min, Max. A new view will be generated with the categorical values plotted along the y-axis, reflecting the chosen statistic.

Example 1

In the GIF below, we have a dataset containing wine types and their corresponding "Points" (indicating the quality of the wine). To examine the average points received by wines from each country, we select Mean, and specify Points as the Of Feature Node, while grouping by Country.

Example 2

Choosing Count will plot the values of your selected category based on the number of successors they possess. For instance, in the GIF below, we plot the categorical values of "Province" against the number of wines each province has. An empty value is plotted at a y-value of "" to represent the number of wines in the dataset from that province.