Tamil Nadu Police Constable /Quantitative Aptitude

Bar & pie charts

Data Interpretation · free study notes · Updated

Bar & Pie Charts – Quantitative Aptitude

(Tamil Nadu Police Constable Exam – Quantitative Aptitude)


1. Simple Explanation

Chart What it shows When to use Key feature
Bar Chart Quantity of individual categories Discrete data (e.g. number of crimes per month, number of officers per station) Bars are rectangular; length/height represents magnitude
Pie Chart Proportion of a whole Categorical data that adds up to 100 % (e.g. percentage of crime types) One circle; each slice’s angle is proportional to its share
  • Bar charts are best when you need to compare individual values.
  • Pie charts are best when you want to see relative shares of a whole.

2. Key Points to Remember

# Point Why it matters
1. Axis & Scale Bar chart always has a horizontal or vertical axis; keep scale uniform (e.g., 0‑10 k). Prevents visual distortion.
2. Ordering For bar charts, order categories logically (time, increasing value, alphabetically). Easier comparison.
3. Bar width & spacing Keep width equal; spacing uniform. Improves readability.
4. Calculating percentages (\text{percentage} = \frac{\text{part}}{\text{total}}\times 100%) Needed for pie charts or converting bar data.
5. Missing values If one bar is missing, find total first (often given) and subtract known values. Common exam trick.
6. Ratio & proportion Compare two bars directly: (\frac{A}{B}) or (\frac{A}{\text{total}}). Quick mental comparison.
7. Pie slice angle ( \text{Angle} = \frac{\text{percentage}}{100}\times 360^\circ). Useful if you’re asked to find missing slice.
8. Check that pie sums to 100 % A mistake in percentages will break the chart. Validate before answering.
9. Approximate values If numbers are large, use “rounded” percentages (e.g., 27 % ≈ 30 %) for mental math. Saves time.
10. Labeling Write category names and values clearly. Avoid misreading.

3. Worked Example

Scenario

The Tamil Nadu Police Department recorded the monthly number of theft cases in January–June 2023.
A bar chart is given (see below). The chart shows:

Month Theft Cases
Jan 128
Feb 145
Mar 119
Apr 137
May 134
Jun missing

The total number of theft cases in the first six months is 815 (given on the chart).

Tasks

  1. Find the missing value for June.
  2. Create a pie chart showing the share of each month.
  3. Determine which month had the highest share of total thefts.

Step‑by‑Step Solution

1. Missing value (June)

[ \text{June} = \text{Total} - (\text{Jan}+\text{Feb}+\text{Mar}+\text{Apr}+\text{May}) ]

[ \text{June} = 815 - (128+145+119+137+134) = 815 - 663 = 152 ]

June = 152 cases.

2. Calculate percentages for each month

[ \text{Percentage} = \frac{\text{Month cases}}{815}\times 100 ]

Month Cases Percentage (rounded)
Jan 128 ( \frac{128}{815}\times100 \approx 15.7% ) → 16 %
Feb 145 ( \approx 17.8% ) → 18 %
Mar 119 ( \approx 14.6% ) → 15 %
Apr 137 ( \approx 16.8% ) → 17 %
May 134 ( \approx 16.4% ) → 16 %
Jun 152 ( \approx 18.6% ) → 19 %

(Rounded to nearest whole number for pie slices.)

3. Draw the pie chart

  • Sum of rounded percentages = 16 + 18 + 15 + 17 + 16 + 19 = 101 % (slight rounding error; acceptable in exam context).
  • Convert percentages to angles:

[ \text{Angle} = \frac{\text{Percentage}}{100}\times360^\circ ]

Month Angle (°)
Jan (16%\times360 = 57.6^\circ)
Feb (18%\times360 = 64.8^\circ)
Mar (15%\times360 = 54^\circ\

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