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Artificial Intelligence · Class 10 · Unit 1 · AI Project Cycle
class 10 aiproject cycle⏱️ 5 min read

Stage 3 — Data Exploration

You now have the data. It is probably thousands of rows of numbers, and staring at it tells you nothing at all. This stage turns it into something a human being can actually look at.

1What data exploration is

Data Exploration
In data exploration you give the collected data a visual form — graphs, charts, databases, flow charts, maps — so that the patterns the data follows become easy to interpret.
The six stages, as a cycle

Tap a stage to stand on it, or press play and watch the work go round. Drag sideways to turn.

3. Data Exploration — Turn the collected data into graphs and charts so its patterns can be seen.

It answers: What is this data actually telling us?

2Why a picture wins

Read these six months of sales: 41, 38, 44, 92, 95, 40. You have to think about it. Now draw them as six bars and the answer jumps out before you have finished looking: two months are enormous, the rest are ordinary. Your eyes found that pattern, not your arithmetic.

A list of turns, or a map

Directions written as a list of forty turns are correct and useless. The same journey drawn as a map is understood in a second. Data exploration is drawing the map.

3Which picture to use

PictureGood for
Bar chartComparing separate things — sales per month, marks per subject
Line chartSomething changing over time — temperature through the year
Scatter plotWhether two things move together — study hours against marks
Pie chartParts of one whole — how a budget is divided
HistogramHow values are spread — how many students scored in each band
MapAnything that has a place — disease cases by district

4What you are looking for

  • Patterns — sales rise every festival season.
  • Odd values — one temperature reading of 500°C. Almost certainly a mistake.
  • Missing data — a whole column that is empty for half the rows.
  • Gaps in coverage — no data at all from one village. That will become bias later.
This is where you decide what model to build
Exploration is not decoration. Once you can see the pattern, you can choose the kind of model that fits it — which is the whole job of the next stage.

5From the board papers

1
What do you do in the second and third stages of an AI Project Cycle?CBSE sample paper 2025–26
2 marks
▶Show the answer

In the second stage, Data Acquisition, we collect data from reliable and authentic sources. In the third stage, Data Exploration, we represent that data visually — as graphs, charts or maps — so that its patterns can be seen and understood.

6Check yourself

Quick Check

You want to show how the temperature of a city changed across twelve months. Which picture fits best?

Quick Check

What is the main purpose of data exploration?