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Data visualization, as mentioned earlier, is both art and science. - a 2 part post from the banking industry


PART 1: http://ucanalytics.com/blogs/data-visualization-case-study-banking/

PART 2: http://ucanalytics.com/blogs/data-visualization-case-study-banking-part-2/

merchant banker

Art and Science of Data VisualizationData visualization, as mentioned earlier, is both art and science. I personally prefer to have a long look at the data, plotting them in various ways before jumping into rigorous mathematical modelling

The first post shows how we should normalize data before drawing conclusions. Pre-normalization, we suspect that people in their 40's carry highest risk

table 1

Graph Loans

But when you normalize, people in their 20's carry the greatest risk - this is not rocket science, but good to remember when building data visualizations

table 2

Normalized Graph Loans

The second post talks about outliers and financial ratios - worth reading

Stashed in: Infographics, Big Data in Financial Services, Data Visualizations

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