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Data Analysis Using SQL and Excel - Second Edition
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Databases are well suited to data exploration because databases are close to the data. Most relational databases are inherently parallel—meaning they can take advantage of multiple processors and multiple disks—so a database is often the best choice in terms of performance as well. Excel charting is a useful companion because it is familiar to business people and charts are a powerful way to communicate results. This chapter introduces several types of charts including column charts, line charts, scatter plots, and sparklines.
Data exploration starts by investigating the values stored in various columns in tables. Histograms are a good way to see distributions of values in particular columns, although numeric values often need to be grouped to see their distributions. There are various ways of grouping numeric values into ranges, including tiling—creating equal-sized groups such as quintiles and deciles.
Various other metrics are of interest in describing...
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