← Data Analysis & Interpretation · RITES Senior Technical Assistant Civil

Chapter 6 of 8

Tabulation of Data

In the RITES Senior Technical Assistant Civil syllabus under Data Analysis & Interpretation · 2 parts

📑 Contents (12 sections)

Part 1 of 2

Data Interpretation

Last reviewed 22 Sept 2026 · 5 min read

What a DI set really tests

Not arithmetic — reading. Nearly every mark lost in this section comes from one of four things: the unit in the heading (lakh, crore, thousand), the row or column read one line off, "percentage increase" mistaken for "percentage point", or an average taken over the wrong number of years.

Read in this order: title → unit → row and column headings → the question. Only then look at the numbers.

The four presentations

Type What it is good at Watch out for
Table exact values, several variables which way the years run
Bar chart comparing quantities the scale, and bars that do not start at zero
Line graph trend over time a broken axis exaggerating a rise
Pie chart shares of one whole two pies with different totals

A caselet presents the same data as a paragraph of prose; convert it into a small table before answering anything.

The five questions

FormulaThe recurring calculations
  • Total of a row or column — plain addition
  • Average (count the entries, do not assume five)
  • Ratio — reduce before dividing
  • Percentage share
  • Percentage change — always over the old value

For pie charts: , so a sector of is . Two pie charts can only be compared in absolute terms if both totals are given.

Working quickly

  • Keep the unit out of the arithmetic: if everything is "₹ lakh", work in plain numbers and put the unit back at the end.
  • Use fraction equivalents rather than long division: , , , .
  • When options are far apart, approximate: is a little under half, so 47% is right and 43% is not.
  • Do not recompute a total you already worked out for the previous question — DI sets are built so each answer feeds the next.

A worked set

The table shows the sales of two products, in ₹ lakh.

Year Product A Product B Total
2021 40 60 100
2022 55 65 120
2023 70 80 150
2024 60 90 150
2025 85 95 180
Worked ExampleQuestion 1 — total

What are the total sales of product A over the five years?

Solution. ₹ 310 lakh.

Worked ExampleQuestion 2 — average

Find the average annual sales of product B.

Solution. ₹ 78 lakh.

Worked ExampleQuestion 3 — percentage change

By what percent did the total sales grow from 2021 to 2025?

Solution. 80%.

Worked ExampleQuestion 4 — percentage share

In which year was product A's share of the total the highest?

Solution. Shares: , , , , → 2025.

Worked ExampleQuestion 5 — ratio

Find the ratio of the sales of A to B in 2023.

Solution. 7 : 8.

Worked ExampleQuestion 6 — year-on-year growth

Find the percentage increase in the sales of A from 2022 to 2023.

Solution. 27.3%.

Worked ExampleQuestion 7 — a trap

Product A's share rose from 40% in 2024 to 47.2% in 2025. Is that a rise of 7.2% or of 7.2 percentage points?

Solution. 7.2 percentage points. As a percentage increase it is . The two are different numbers and the options will contain both.

Worked ExampleQuestion 8 — as a pie chart

If the 2025 sales are drawn as a pie chart, what angle does product A occupy?

Solution. 170°.

Worked ExampleQuestion 9 — a year below the average

In how many years were product A's sales below their own five-year average?

Solution. Average → 2021 (40), 2022 (55) and 2024 (60) are below it: 3 years.

Worked ExampleQuestion 10 — combining rows

If the company earns a profit of 20% on A and 15% on B, what is the profit in 2024?

Solution. ₹ 25.5 lakh.

Frequently tested points

  • Read the unit in the heading before any calculation.
  • Percentage change is over the old value; a share in percent changes by percentage points.
  • Average needs the count of entries actually being averaged.
  • Pie chart: ; comparing two pies needs both totals.
  • A bar chart whose axis does not start at zero exaggerates differences.
  • Reduce ratios before dividing, and reuse totals already computed.
  • Approximate when the options are far apart; compute exactly only when they are close.
Common MistakeCommon mistakes
  • Dividing by the new value in a percentage change.
  • Treating a rise from 40% to 47.2% as a 7.2% increase.
  • Averaging over five years when the question asks about four.
  • Comparing sectors of two pie charts as though the totals were equal.
  • Losing the unit — answering 310 when the answer is ₹ 310 lakh.
Revision SummaryChapter summary
  1. Data interpretation rewards careful reading of the title, unit and headings before the numbers.
  2. Tables, bar charts, line graphs, pie charts and caselets present the same kinds of data with different traps.
  3. Five calculations — total, average, ratio, share and percentage change — cover almost every question asked.
  4. Percentage change and percentage points are different, and both appear in the options.
  5. Speed comes from fraction equivalents, approximation and reusing totals, not from faster long division.

Part 2 of 2

Elementary Statistics

Last reviewed 22 Sept 2026 · 6 min read

Frequency distributions

Raw data is grouped into classes with frequencies. For a class such as 20–30: the class mark (midpoint) is 25, the class size is 10, and the cumulative frequency is the running total of the frequencies up to that class. In an exclusive distribution (10–20, 20–30) the upper limit belongs to the next class; in an inclusive one (10–19, 20–29) it does not, and the limits must be corrected by half the gap before any formula is used.

The three averages

FormulaMean
  • Ungrouped:
  • Grouped: with the class mark
  • Assumed mean: , where
  • Step deviation: , where
  • Combined mean of two groups:
FormulaMedian and mode

Ungrouped (data arranged in order):

  • odd → the th value; even → the mean of the two middle values.
  • Mode is the most frequent value; a set may have none or several.

Grouped:

where is the lower limit of the median or modal class, , the cumulative frequency before it, its frequency, the class size, and the frequencies of the classes before, at and after the modal class.

Empirical relation: .

Which one to use: the mean uses every value but is dragged by extremes; the median ignores extremes and suits skewed data such as incomes; the mode is the only average for a non-numeric category.

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