#TREEMAP CHART DATA SOFTWARE#

A second advantage of treemaps is that, by construction, they make efficient use of space. When the color and size dimensions are correlated in some way with the tree structure, one can often easily see patterns that would be difficult to spot in other ways, such as whether a certain color is particularly relevant. Often the leaf nodes are colored to show a separate dimension of the data. A leaf node's rectangle has an area proportional to a specified dimension of the data. Each branch of the tree is given a rectangle, which is then tiled with smaller rectangles representing sub-branches. Treemaps display hierarchical ( tree-structured) data as a set of nested rectangles. In information visualization and computing, treemapping is a method for displaying hierarchical data using nested figures, usually rectangles. The Product Exports Treemaps are one of the most recent applications of these kind of visualizations, developed by the Harvard-MIT Observatory of Economic Complexity. The rectangles are colored by the type of company, and the rectangles are grouped by companyР’В size.Treemap of Singapore's exports by product category, 2012. We also have a variable for theР’В sizesР’В ofР’В theР’В companies.Р’В This example shows more categories of companies than the previous examples.Р’В The rectangles are sized by average sales in US dollars. NowР’В we have a variableР’В for different types of companies with six levels. Figure 3 shows similarР’В financialР’В dataР’В as is presented in Figure 2. TreemapsР’В areР’В moreР’В useful forР’В largerР’В sets ofР’В variables withР’В a large number ofР’В levels. Example 2: Categories and hierarchy for larger sets of variables with many levels However, by usingР’В the category variable, we see that the original conclusion that medium-sized companies have the highest profits/employee is not true. The original conclusion that large companies have the highest average sales is still true. Tools that provide РІР‚Сљhover helpРІР‚Сњ or allow interactive drill-down are helpful here. ThisР’В situationР’В is common with larger sets of dataР’В that result inР’В many small rectangles. TheР’В treemap cannot label theР’В smallest rectangleР’В for the small pharmaceutical companies. We also see that medium-sized computer companies have a negative profit/employee. The rectangles are sized by the average sales (in US dollars) for the categories of companies and colored by the profits per employee.Р”Р‡rom the treemap in Figure 2, we see that the profit/employee is highest for small pharmaceutical companies.Р’В From the rectangle sizes, we see that large companies in both categories have the highest sales. The very simpleР’В treemapР’В in Figure 1 shows theР’В structure of sales forР’В small, medium and large companies.

Some tools allow drill-down to show more detail, which is useful when aР’В treemapР’В has small rectanglesР’В and the labels cannot be seen easily. Most tools have an option to color the rectangles and can add labels to them.

#TREEMAP CHART DATA SOFTWARE#

Software toolsР’В use an algorithm to construct the size ofР’В rectangles proportionalР’В to the number of observations that fall within each rectangle. TreemapsР’В are almost always computer-generated. Treemaps originated as a way to show the structure andР’В size of filesР’В onР’В a computer hard drive.Р’В TreemapsР’В are now used for many situations, including those without a hierarchy.Р’В TreemapsР’В can show a large amount of data in a small amount of space. AР’В treemapР’В is an arrangement of rectangles that shows the hierarchicalР’В structureР’В of your data.

Treemap chart data