Graphs for analysts and appraisers are how we see.  It is difficult to vision a median or clusters or market relationships using just numbers.  It is even blurrier when someone uses p-values, R-squared’s, and t-scores, claiming these somehow ‘support’ their personal opinion of value.  Bad enough in regular work.  Even worse gobbledygook when used as ‘evidence’ in litigation ‘expert’ witness practice.

For valuation and asset assessment, data visualization is important to communicate results.  But there is more, much more.  Visualization using graphs is the only real way to see markets.

It is easy to forget that what appraisers do is measure markets.  The only real purpose of comparables is to estimate markets.  Once selected, comparables also become an easy way to ‘support’ an opinion.  It is circular thinking, but it works where data is sparse or difficult to collect.

Where data is plentiful (like more than six or seven competing sales), the human brain simply does not do well.  Humans have a marvelous ability to generalize and make decisions quickly from anecdotal and limited input.  Humans are terrible at making sense of more than two handfuls of data.

Graphs provide a way for the human brain to see larger groups of data.  And if the group of data happens to be a carefully defined market segment — the brain can see the market, in a graph.

This may seem trivial, or even obvious.  Yet appraisers have little training or education in the proper use of graphs.  Often bloggers and writers discover how to create a colorful, appealing graph.  However, few take the time to consider why a particular type of graph is good for a particular purpose.  Few take the time to be clear on how the analyst (or client) can directly apply useful visual input.

Graphs are useful for:

  • Description of property types, neighborhoods, and markets
  • Insight with exploratory methods
  • Comparisons of features
  • Association of variables
  • Outlier detection
  • Modeling decisions

Bar plots, histograms, boxplots, and scatterplots each have a different purpose.  Each relates to different levels (type) of data input.  And each provides a powerful way for the trained brain to see.

The training involves subject-matter expertise, (like property types and valuation procedures).  It also requires some understanding of the use of graphs.  And relationship to the underlying descriptive numbers (like mean, median, deviation, range, and skew).

In short, graphic visualization is good for reports.  Humans respond well to seeing shapes and colors — if they are clear in the purpose of the graph.  Humans balk when presented with a graph which is not well labeled, and is not clear as to its purpose.

Modern asset analysts provide results beyond “an opinion.”  Graphs are an important part of the analysis, as well as the client report.