PPT: Data Handling

# Data Handling Class 1 PPT

``` Page 1

Data
Handling
Page 2

Data
Handling
Topics to be Covered
1.Introduction
2.Organising Data by using tally marks
3.Pictographs
4.Interpretation of a Pictograph
5.Drawing a Pictograph
6.A bar graph
7.Interpretation of a bar graph
8.Drawing a bar graph
DATA HANDLING
Page 3

Data
Handling
Topics to be Covered
1.Introduction
2.Organising Data by using tally marks
3.Pictographs
4.Interpretation of a Pictograph
5.Drawing a Pictograph
6.A bar graph
7.Interpretation of a bar graph
8.Drawing a bar graph
DATA HANDLING
Data is a collection of numbers gathered to give some
information.
For Example:
?Record the attendance of students in  a class every day.
?Marks obtained by a student after every test or examination.
?Age of all students of your class.
?Choice of sweets or fruits of the students of class 6
th
.
?Size of shoes of students in class 6
th
.
?Marks obtained by all the students of class 6
th
in a test.
1. Introduction
Page 4

Data
Handling
Topics to be Covered
1.Introduction
2.Organising Data by using tally marks
3.Pictographs
4.Interpretation of a Pictograph
5.Drawing a Pictograph
6.A bar graph
7.Interpretation of a bar graph
8.Drawing a bar graph
DATA HANDLING
Data is a collection of numbers gathered to give some
information.
For Example:
?Record the attendance of students in  a class every day.
?Marks obtained by a student after every test or examination.
?Age of all students of your class.
?Choice of sweets or fruits of the students of class 6
th
.
?Size of shoes of students in class 6
th
.
?Marks obtained by all the students of class 6
th
in a test.
1. Introduction
To get particular information from the given data quickly,
the data has to organised or arrangement first. The
organisation of data can be done in one of the following
ways:.
?Ascending or descending order.
?Organising data by using tally marks.
?By using pictographs
?By using bar graphs
2. Organising of Data
Page 5

Data
Handling
Topics to be Covered
1.Introduction
2.Organising Data by using tally marks
3.Pictographs
4.Interpretation of a Pictograph
5.Drawing a Pictograph
6.A bar graph
7.Interpretation of a bar graph
8.Drawing a bar graph
DATA HANDLING
Data is a collection of numbers gathered to give some
information.
For Example:
?Record the attendance of students in  a class every day.
?Marks obtained by a student after every test or examination.
?Age of all students of your class.
?Choice of sweets or fruits of the students of class 6
th
.
?Size of shoes of students in class 6
th
.
?Marks obtained by all the students of class 6
th
in a test.
1. Introduction
To get particular information from the given data quickly,
the data has to organised or arrangement first. The
organisation of data can be done in one of the following
ways:.
?Ascending or descending order.
?Organising data by using tally marks.
?By using pictographs
?By using bar graphs
2. Organising of Data
Tally marks are a way of expressing number in groups of
five. The numbers are represented as follows :
Organising Data by using
Tally marks
1
2
3
4
5
6
7
8
9
10
I
II
III
IIII
IIII
IIII I
IIII II
IIII III
IIII IIII
IIII IIII
One vertical line
Two vertical line
Three vertical line
Four vertical line
Diagonal across four vert. line
Five +1 vertical line
Five +2 vertical line
Five +3 vertical line
Five + 4 vertical line
Five + Five
Note:- IIII  or IIII   = 5 , Both symbols are correct
```

## Mathematics (Maths) Class 6

94 videos|347 docs|54 tests

## FAQs on Data Handling Class 1 PPT

 1. What is data handling?
Ans. Data handling refers to the process of managing and organizing data in a systematic manner. It involves collecting, storing, analyzing, and presenting data in a way that is meaningful and useful.
 2. Why is data handling important?
Ans. Data handling is important because it allows us to make informed decisions based on the information we gather. By properly handling data, we can identify patterns, trends, and relationships, which can help in problem-solving, decision-making, and predicting future outcomes.
 3. What are the different methods of data handling?
Ans. There are various methods of data handling, including data collection, data organization, data analysis, and data presentation. Data collection involves gathering information through surveys, observations, or experiments. Data organization involves sorting, categorizing, and storing data in a structured manner. Data analysis involves applying statistical techniques to interpret and draw conclusions from the data. Data presentation involves visually representing the data through graphs, charts, or tables.
 4. What are the common challenges in data handling?
Ans. Some common challenges in data handling include data quality issues, such as errors, missing values, or inconsistencies. Another challenge is dealing with a large volume of data, which requires efficient storage and processing methods. Data privacy and security are also important concerns, as sensitive information needs to be protected. Additionally, data handling requires proper skills and knowledge to ensure accurate interpretation and meaningful insights.
 5. How can data handling be improved?
Ans. Data handling can be improved by ensuring data quality through proper validation and verification processes. Using reliable data sources and standardized formats also helps in improving data handling. Implementing data management systems and tools can streamline the process and enhance efficiency. Regular data backups and security measures can protect data from loss or unauthorized access. Additionally, providing training and education on data handling techniques can improve the skills of individuals involved in the process.

## Mathematics (Maths) Class 6

94 videos|347 docs|54 tests

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