I love data visualization, but it's not the only way of giving
your data a voice. From pen and paper through Excel, Google Viz,
R, and D3, visualization brings out the flavor of your data. I
believe it should play a role at every stage of data analysis:
use it to picture the process of data collection, to understand
how data moves through your system, to clean data, to find
patterns, and to show results. But visualization is not the only
way of giving your data a voice. Statements, models, and
anecdotes are three other means of communicating the message of
your data -- both to others and to yourself, for your own
understanding. Letís study how each of these could be applied by
using a very simple example. The case study Research youíve done
has found that, by taking into account the weather forecast, a
supermarket would be better able to predict (and thus satisfy)
customer demand. Youíve looked at several key product lines,
youíve run some heavy machine learning tasks, and your hard-
drive and head are filled