# CBSE Class 6 Maths Revision Notes Chapter 9

## CBSE Class 6 Mathematics Revision Notes Chapter 9 – Data Handling

Exclusively designed, comprehensive notes are important for any examination and Mathematics is no exception. Class 6 Mathematics Chapter 9 Notes provided by Extramarks are carefully curated by subject matter experts to help students understand all of the important topics and subtopics covered in the chapter.

These notes strictly follow the CBSE guidelines. Students can examine these notes to revise all of the topics in less  time before the examinations. Class 6 Mathematics Chapter 9 Notes provided by Extramarks are easily available on  the website. These notes help  strengthen exam preparations to get a 100% score in the examinations.

### Access Class 6 Mathematics Chapter  9 – Data Handling Notes

Students looking for well-prepared notes written in an easy-to-understand language have come to the right place. At Extramarks, subject matter experts try to clarify the concepts with examples to satisfy their curiosity and provide enough exercises to practise and enjoy the process of learning. These notes will clear their students’ doubts if any about the chapter.

The syllabus and guidelines provided by the CBSE board have been carefully followed by the experts while preparing these notes.. All the important topics are covered for students to get  in-depth knowledge about every topic and feel confident during examinations.

The Revision Notes for CBSE Class 6 Mathematics Chapter 9 give an edge to students’ preparation. They can click on the link provided and access the Class 6 Mathematics Chapter 9 Notes on Data Handling.

### An Overview  of Class 6 Chapter 9 Data Handling

Data is a collection of information stored in the format of numbers. Data can be anything, starting from the record of attendance by the class teacher in school to the big scoreboard in the field of cricket. The record of marks obtained on the class tests or the final exams is also one type of recorded data.

One can easily check the scoreboard and see the progression of the game. Similarly, various kinds of tables that include numbers, texts, figures, etc. that people often come across in daily life are also instances of data. So, in a nutshell, data is nothing but a set of collected information encrypted in the form of numbers.

What is Data Handling?

Data handling is a process of collecting, assembling, and representing data in an easily recognisable format. Data is usually collected in the format of numbers, but data itself can be of any kind. The data taken for the first time is called raw data. It can be someone’s name or any important numerical value, measurement, description, etc. The purpose of data handling is to store and share information in a reliable way.

Data handling plays an important role in making data reliable, ensuring privacy and arranging the raw data obtained from research. It is used in both Mathematics and Science. Data handling  commonly falls under the broad area of  statistics.

Therefore, it can be said that data handling is an art that includes

• a proper methodology for the collection of raw data.
• processing and recording the collected data with accuracy and clarity.
• analysing the data to reach a conclusion.
• sharing the data with others in a format that is easy to understand.

Class 6 Chapter 9 Notes on data handling focus on the following topics:

• Basic concept of data
• Recording of data
• Organising data
• Pictograph
• Bar graph

The following topics of data handling are explained in CBSE Class 6 Mathematics Chapter 9 Notes.

• Data: Data is a collection of numbers that contains valuable information. It could be a table or a chart or any simple record of information.
• Recording of Data: Data can be acquired from multiple sources. For example, the records of students’ academic reports..
• Pictograph: A pictograph is a pictorial representation of data. It helps one find the required information in a short time. A pictograph can be images, objects, or pieces of objects.
• Bar Graph: A bar graph is a graphic representation of data using rectangles of equal width but different heights.
• The heights of the bars are different because they represent different data.
• Bars can be drawn horizontally or vertically to depict the data.
• These bars are always placed in equal distance from each other on a bar graph.
• It is important to choose a scale for a bar graph which would be the same throughout the bar graph. For example, if one unit represents a hundred pupils in a school, it will be the same for the entire graph.
• It is often difficult to extract the required data quickly from an extensive set of data. So, data can be organised in a table format using the tally marks.

### Salient Features of Class 6 Mathematics Data Handling Notes

To help the students prepare for the examinations smoothly, Extramarks provides extensive notes on each chapter. Students must have a clear conceptual understanding of the topic of data handling to answer the  questions, and these notes rightly serve the purpose.

Some of the salient features of the revision notes on data handling include:

• The notes are written in easy-to-understand and simple language.
• Class 6 Mathematics Chapter 9 Notes are well-structured and all the topics are arranged logically.
• Students can save their precious time before the exam by examining the notes.
• These notes include all the main  topics and formulas given according to the NCERT textbook of Mathematics. Therefore, students need not check the textbook every time while revising a specific topic.
• The revision notes will help students solve any numerical problem related to the chapter as these notes explain the content of the chapter in-detail.
• Students will feel more confident when they thoroughly revise the topics with these revision notes.
• The notes are available on the Extramarks website for ready reference.
• Students will be able to revise the entire chapter of Data Handling anytime since the experts believe that learning must continue uninterrupted with the help of Class 6 Mathematics Chapter 9 Notes.

### 1. What is data handling?

Data handling is the process of collecting, storing, and analysing data and sharing it with others whenever any valuable information is required. Data handling is crucial for research work. So, it is used in both Mathematics as well as Science. Data handling commonly comes under statistics.

### 2. What are the methods of data handling?

The main purpose of data handling is to collect, process, and get the necessary information quickly and in a convenient manner to reach a conclusion. Data can be represented in any format that is convenient to the user. The most commonly used methods of data handling are:

• Tally charts
• Pictographs
• Bar graphs

The above methods are taught in Class 6 Mathematics. But there are other methods of data handling, e.g., pie charts, line graphs, histograms, stem and leaf plots, etc.

### 3. Explain the types of data handling.

Data can be handled in the following ways.

• Tally Mark Charts: To put it simply, it is a table where one column represents the raw data and the next column represents the tally marks to easily recognise and interpret the data.
• Pictographs: Pictographs are representations of data through simple images for interpreting the data easily.
• Bar Graphs: Bars are rectangular shapes of various lengths, denoting different data.

### 4. What is meant by recording data?

Recording the data is the most important stage of data handling. Recoding data refers to the process of collecting, assembling, and arranging the data in an organised manner so that it can be used later for drawing inferences. Any fault or inaccuracy in this stage will lead to a flawed result.

### 5. What does the term "pictograph" mean? How is it drawn?

A pictograph is a graphic representation of data through pictures. To draw a proper pictograph, follow the steps given below.

• First, choose an image that will represent the data.
• Make a table. In one column, mention the category it represents. In the next column, draw the images or symbols to represent the data already mentioned in the first column.
• Once the table is ready with the data, mention below which image or symbol represents what in the pictograph. It will help others understand the graphics easily.