Tabulation presents data in organized table format. Simple tabulation: frequency distribution with single variable. Cross-tabulation: two or more variables with frequency at intersections. Key concepts: clear headers, proper row/column labels, total rows/columns. Frequency table: lists categories and occurrence counts. Relative frequency: proportion or percentage of each category. Cumulative frequency: running total of frequencies. Common traps: missing totals, unclear labels, inconsistent rounding. Exam tips: verify row and column totals match grand total. Time-saving: use standard table formats, maintain consistent decimal places. Applications: survey analysis, quality control, inventory tracking. Construction steps: identify variables, determine categories, count frequencies, add totals. Presentation quality matters: readable fonts, appropriate spacing, clear titles. Tabulation bridges raw data and statistical analysis. Practice reading and constructing tables efficiently.