Talk:Lesson05

The way treemaps interpret the data is almost similar to the decision tree. The main difference is interpretation of data in treemaps is through visual and recognition of patterns. The interpretation of Decision tree is based on statistical numbers.

Raymond Goh Raymond.goh.2015 (talk) 17:00, 18 September 2016 (SGT)

Another difference is tree map can be arranged according to type, but decision tree position is very much determined by the axis. Beijia.kee.2015 (talk) 08:50, 19 September 2016 (SGT)Beijia kee

I am quite confused over if it were valid to compare tree-maps with decision trees. I am not sure if treemaps and decision trees should b compared with each other. If I didnt mis-interpret it wrongly, both served different purposes. For instance, a tree-map is to display the hierarchical of categorical variable - more on showing a "breakdown" of the data by the categorical variables or continuous variable (after using binning). However, a decision tree is more of displaying the possible outcome of decisions.

Thus, both are very different to me. As both tree map and decision tree are giving me different type of analysis, the former displaying "what has happened", while the latter displaying more of "what may happen". Perhaps the only similarity is that both of them show a "breakdown" or "branches". Other than that, they are different to me. Hence, unable to display the similar analysis from a tree map, onto a decision tree right?

Or, have I missed out on anything? --Hanying.ong.2015 (talk) 10:00, 19 September 2016 (SGT)