Domain knowledge is specialized understanding of the subject represented by data. It helps analysts recognize when literal parsing produces plausible but misleading results, then refine the analysis with expert input. section 2.2.2
Apply domain knowledge to:
- Interpret exceptions that automated rules miss, such as a London address that does not contain “London.” section 2.2.2
- Validate transformed data against expected real-world coverage, such as checking whether major cities appear. section 2.2.2
- Resolve local naming conventions, such as mapping “Hull” to “Kingston-upon-Hull.” section 2.2.2
Address categorization
A literal city-matching rule leaves some records as “OTHER.” Reviewing those addresses reveals suburban London locations and the abbreviated city name “Hull,” enabling targeted corrections before comparing spending by city. section 2.2.2
Figure 2.15 A sample of addresses whose city is categorized as “Other”
Inspecting addresses categorized as “Other” exposes cases that require geographic interpretation. section 2.2.2
