Data handling refers to the process of gathering, recording, organizing, and analyzing data to derive meaningful information. 

Key Concepts in Data Handling :
1. Data Collection: Gathering information based on a question or topic.
2. Data Organization: Arranging data in a way that makes it easy to understand.
3. Data Representation: Showing data visually using tables, pictures, or simple graphs.
4. Data Interpretation: Making sense of the data, understanding what it shows.

 Example of Data Handling:
Let’s go through a simple example that could be used in a Class 2 setting.

 Example: Favorite Fruit Survey
Step 1: Data Collection
– Ask each student in the class what their favorite fruit is. Let’s say there are 10 students.
– Suppose the results are: 3 students like apples, 4 like bananas, 2 like oranges, and 1 likes grapes.

Step 2: Data Organization
– You could list the fruits and the number of students who like each one:
– Apples: 3 students
– Bananas: 4 students
– Oranges: 2 students
– Grapes: 1 student

Step 3: Data Representation
– Create a pictograph or a simple bar chart to represent this data.
– For a pictograph: Draw pictures of each fruit, with each picture representing one student.
– For a bar chart:
– Draw a chart with fruit names on the x-axis and the number of students on the y-axis.
– Draw bars for each fruit that go up to the number of students who like that fruit.

Step 4: Data Interpretation
– Look at the chart and answer questions like:
– Which fruit is liked by the most students? (Answer: Bananas)
– How many more students like bananas than grapes? (Answer: 3 more students)
– How many students in total were surveyed? (Answer: 10 students)