Introduction

Data handling is the process of collecting, organizing, analyzing, and representing data in a meaningful way. It is an essential part of mathematics and helps in decision-making.

Types of Data

Qualitative and Quantitative Data

• Qualitative Data: Data that describes characteristics (e.g., colors, types of fruits).
• Quantitative Data: Data that consists of numbers (e.g., heights, weights, number of students).

Methods of Data Collection

Data can be collected through various means, including surveys, observations, experiments, and records.

Organizing Data

Data is arranged systematically using tables, lists, and tally marks for better understanding.

Representation of Data

Tally Marks

Tally marks are used to record and count data quickly.

Pictographs

A pictograph uses pictures or symbols to represent data.

Bar Graphs

Bar graphs use bars to compare different sets of data.

Examples

Importance of Data Handling

• Helps in analyzing trends and making predictions.
• Used in business, sports, and daily life decision-making.

Conclusion

Data handling is a fundamental skill that helps in understanding information and making informed decisions.