Data Interpretation
Tables & Cross-Referencing
Locating and comparing information in complex multi-column tables.
Questions use government funding tables (county × service category), engineering reference tables (RPM × capacity factor), utility cost tables (university × energy source), and municipal budget tables. Tables are dense with 4–8 columns and 5–12 rows.
What the exam tests
Intersection and Value Identification
Find a value by cross-checking a row (left column) with a header (top row), such as matching RPM to capacity factor for energy output.
Category Matching
Given a value and one parameter, identify the category it belongs to, such as matching an electricity cost to a university and energy source.
Criteria-Based Data Location
Locate a funding amount by finding the intersection of a county name and a public service category (Schools, Police, Parks and Rec).
Calculations with Missing Data
Tables contain incomplete information; calculate the missing figure using the data that is provided.
Relational Data Extraction
Two known values (expense percentage + revenue amount) are given; identify the category they represent in the table.
Multi-Step Derived Values
Extract two or more values from a table then perform a subsequent operation, such as dividing total funding by residents for a per-resident figure.
Header and Axis Navigation
Key rules
- ›Locate the correct row parameter in the left-hand column first, then find the correct column using the top-row headers.
- ›Confirm both the row label and column header match the question before reading the intersection value.
Common traps
- !Reading the adjacent row or column due to dense formatting.
Visual Tracking Accuracy
Key rules
- ›Use a finger or edge of paper to track horizontally across the row to the target column.
- ›For complex tables, mark the column header visually before scanning the row.
Common traps
- !Drifting to an adjacent cell in a wide table.
Data Filtering and Isolation
Key rules
- ›Identify the two parameters the question requires and ignore all other rows and columns.
- ›Treat irrelevant data as noise. Do not let a large table create false complexity.
Translation (Task-to-Search)
Key rules
- ›Convert the written question into a specific search path: row label → column header → intersection.
- ›Example: 'steam pressure for 150 fuel tubes at 275 degrees' → row = 275°, column = 150 tubes → read value.
Tabular Arithmetic
Key rules
- ›Extract all required values from the table first, then perform the operation (addition, subtraction, division).
- ›For per-unit questions, divide the extracted total by the population or count stated in the question.
Common traps
- !Performing arithmetic before confirming both values are from the correct cells.
Systematic Scanning
Key rules
- ›For criteria-based searches, scan columns one at a time from left to right rather than jumping around.
- ›Check every row in the target column before concluding which meets the criteria.
Reasonableness Check
Key rules
- ›Verify the extracted value is consistent with neighboring cells (same order of magnitude, logical progression).
- ›If the answer seems wildly different from surrounding data, re-check row and column alignment.
Try one
The table shows generator energy production (kWh) by rotor speed and capacity factor. | Rotor RPM | CF 20 | CF 40 | CF 60 | CF 80 | | --- | --- | --- | --- | --- | | 1000 | 3,920.3 | 7,840.6 | 11,760.9 | 15,681.2 | | 2000 | 7,840.6 | 15,681.2 | 23,521.8 | 31,362.4 | | 3000 | 11,760.9 | 23,521.8 | 35,282.7 | 47,043.6 | | 4000 | 15,681.2 | 31,362.4 | 47,043.6 | 62,724.8 | What is the energy production for a rotor spinning at 3,000 RPM with a capacity factor of 20?
Find the 3000 row, then read the CF 20 column: 11,760.9. Staying in the correct column avoids drifting to the adjacent 23,521.8 (CF 40).
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