UGC NET Paper 1 Unit 7: Data Interpretation Notes and MCQs
Data Interpretation tests whether you can read a table or chart and do small calculations without losing the units. The arithmetic is usually simple: percentages, averages and angles in a pie chart. These notes list the data types, chart types and formulas you need, whatever your subject.
Types of data
Charts
Mean median mode
Percentages
Data and governance
6 syllabus topics
350+ free MCQs
No sign-up
Updated 11 October 2026
NET Law 058 is an independent study aid, not affiliated with UGC or NTA. Always check the official UGC NET syllabus and the latest official sources for any data.
What Unit 7 covers
Most Data Interpretation marks come from simple arithmetic done carefully, so accuracy matters more than speed here. The official syllabus lists 6 topics for this unit. Each is explained below with the points examiners most often use.
1Sources, acquisition and classification of data
Primary data is collected first-hand by the researcher through surveys, interviews, observation or experiments. Secondary data comes from existing sources such as reports, journals and the Census.
Official sources in India include the Census (every 10 years), the National Sample Survey and government statistical reports.
Classification groups data by time (chronological), place (geographical), quality (qualitative) or size (quantitative), for example into class intervals.
Check the source, date, sample size and units before using any data set.
2Quantitative and qualitative data
Quantitative data is numerical and measurable. It can be discrete (countable whole numbers, such as number of students) or continuous (any value in a range, such as height).
Qualitative (categorical) data describes quality or category, such as gender, religion or caste. It may be nominal (no order) or ordinal (ordered, such as grades).
Mean is the sum divided by the number of items. It is affected by extreme values.
Median is the middle value of ordered data and is least affected by extreme values. Mode is the most frequent value. Range is largest minus smallest.
3Data representation: tables, bar charts, histograms, pie charts and line charts
A table arranges data in rows and columns. A bar chart compares categories, and its bars are separated.
A histogram shows a continuous frequency distribution with bars that touch. A frequency polygon is drawn by joining the mid-points of the tops of histogram bars.
A pie chart shows parts of a whole. A sector angle equals percentage times 360 divided by 100, so 25% is 90 degrees.
A line chart shows change over time. A scatter plot shows the relationship between two variables.
4Mapping of data
Data can be shown on maps to display geographical patterns, for example population density or rainfall by state.
A choropleth map uses shades or colours for regions according to a value. Dot maps and symbol maps show counts and locations.
Geographic Information Systems (GIS) store and analyse data linked to location.
Read the legend and scale first, because they decide what a colour or symbol means.
5Data interpretation and analysis
Percentage change is change divided by the old value, times 100. Example: 100 rising to 120 is a 20 percent increase.
Ratio, average and percentage share are the most common calculations in questions.
Check axes, scales, units (thousand, lakh, crore) and the base year before comparing values.
Cumulative frequency is a running total, and its graph is called an ogive. It is used to find the median.
6Data and governance
Governments use data for planning, targeting of schemes, monitoring and accountability.
Examples in India are the Census, the AISHE survey on higher education, NIRF data and the Open Government Data (data.gov.in) portal.
Evidence-based policy uses data to design and evaluate programmes. Good governance data should be accurate, timely and accessible.
Privacy and protection of personal data are important concerns when governments collect large data sets.
Quick reference tables
Which chart to use
Chart
Best used for
Bar chart
Comparing values across categories
Histogram
Frequency of a continuous variable in class intervals
Pie chart
Share of each part in a whole
Line chart
Trend or change over time
Scatter plot
Relationship between two variables
Frequency polygon
Shape of a frequency distribution
Ogive
Cumulative frequency and median
Quick formulas
Measure
Formula or rule
Mean
Sum of values / number of values
Median
Middle value of ordered data (average of two middle values if the count is even)
Mode
Most frequent value
Range
Largest value minus smallest value
Percentage change
(New - Old) / Old x 100
Pie sector angle
Percentage x 360 / 100
Key terms and facts to remember
Primary data
Collected first-hand by the researcher.
Secondary data
Taken from existing sources such as reports and the Census.
Discrete data
Countable whole numbers, such as number of students.
Continuous data
Can take any value in a range, such as height.
Qualitative data
Categories or descriptions, such as gender or religion.
Histogram
Touching bars for continuous frequency data.
Pie chart angle
Full circle is 360 degrees, so 25% equals 90 degrees.
Median
Least affected by extreme values.
Ogive
Graph of cumulative frequency; used to find the median.
Census
Conducted every 10 years in India.
Open Government Data
data.gov.in is the national open data portal.
Practise Data Interpretation MCQs topic by topic
Beyond the six samples, all 364 questions for this unit are on their own pages, grouped by syllabus topic, with the answer key on the page.