Tables, diagrams, text, charts, graphs, and other visual tools help extract, modify, and communicate information from data.
On this page, you will create a visualizations to help you analyze and communicate information from your dataset.
Classifying data means distributing data into groups based on common characteristics.
The by intervals of
input to the group table
block should be left empty when, as in this example, the field on which you're grouping is text rather than numbers. Later on this page, you'll see how to use intervals in graphing.
keep
functions.)Pipe
may be useful for questions that require looking inside the inner lists of the grouped data (in column C).
The bar chart
function works like the group
function, but with special features for numeric data: it allows you to select upper and lower limits of the data; you can have a range of values in one bucket, such as values 6–10, values 11–15, and so on; and it sorts the groups. For example, here is the cars data grouped by city MPG (column 9):
The number in column A is the largest value included in each group. If the values aren't all integers, the next group includes anything larger. For example, the group numbered 15 includes values from 10.0001 (or anything more than 10) to exactly 15.
You can plot the data from bar chart
to visualize them:
The mode of a data set is the value that appears most often in it.