# Chapter 3 – Data Handling

The following Topics and Sub-Topics are covered in this chapter and are available on MSVgo:

Introduction

Data is an important component of decision-making. In the previous classes, we learned how to collect and formulate valuable decision-making information from different types of data available to us.

In this chapter, we are going to learn more about data and data handling. Data handling helps us organise the data in hand, draw inferences from it, and put it in graph forms.

#### What is Data Handling?

The process of doing the statistical analysis of data in hand is known as Data Handling. We are all constantly handling different types of data in our day to day lives, and especially in the age of social media. Your age, height, body weight, e-mail id, messages, and websites you use to learn and study are diverse forms of data.

The importance of collecting data and organisation of large scale data can be understood from the fact that these data are used by our government, industries, and various organisations in decisions that prove helpful to us collectively as a society.

#### Collecting Data

The process of collecting data is vital in creating valuable information. To collect data, you need to know what is the purpose of collecting it. The clarity in the purpose of collecting data will lead us to appropriate data, which in turn will give us desired information.

The collection of data is the primary step in Data Handling

Let us take an example to understand the significance of data collection. Suppose you want to know the average temperature of your city for a week and you go online and find the temperatures of each day of the previous week. After collecting the data when you sit down to calculate your city’s average temperature, you realise the data does not match, and you notice that the temperature you collected is that of your neighbouring city. Thus the entire data you collected is not useful for the decision you wanted to make, i.e. to know your city’s temperature.

Therefore, it is an essential step to know beforehand the goal for which the data is being collected.

#### Organisation of Data

The organisation of data is the most important step in handling data. Data handling is collecting, tabulating and, lastly, organising this data. The organisation of data allows us to make the data useful to us to make any decision and understand the information.

Why is it important to organise data? Because the organisation of data helps us to interpret and understand data. Proper organisation of data allows us to make easy decisions, draw meaningful conclusions and re-use the data collected by us.

You may have seen your report card is always in tabular form, and so is the menu at your favourite restaurant; this is an example of the organisation of data. In fact, most of the data we come across is found in tabular form.

#### Representative Value of Data

The representative value of data shows us the central tendency of a group of data or observations. Different forms of data require different forms of representative or central value to explain or describe it.

• Arithmetic Mean
Arithmetic mean is one of the most common forms of representative value of a group of data.
The average arithmetic mean can be defined as follows.
Arithmetic mean = Sum of observations number of observations
• Range
When we subtract the lowest observation from the highest observation of data, we get as a result Range of the data.
Range gives us an idea of the spread of information.
• Median
When any data is arranged in an increasing or decreasing order, the value that lies in the middle of the data is the median.
Thus in any given situation, the median of a data will have half of the data above it and half of the data below it.

#### Use of Bar Graph with a Different Purpose

In the previous chapters, we have seen that a bar graph represents data, using bars. The length of these bars depends on the frequency and scale we have chosen. Bar graphs serve the purpose of comparing the collected data effectively.

#### Conclusion

Data Handling is thus a process of assimilation and organisation of data. In this chapter, we learnt that data is the most important component of data handling and that different data types of data require different representative values.

#### FAQs

1. What is data in data handling in maths?
Data in data handling refers to information collected individually; it is information about a collective system.
2. What are the types of data handling?
Different types of data handling are

• Bar graph
• Histogram
• Stem and leaf plots
• Dot plots
• Frequency distribution
• Cumulative tables and graphs
• Line graph
• Pictograph
3. How do you introduce data handling?
The systematic organisation of data gathered, to make it useful and meaningful is known as data handling.
4. What is data handling in maths class 7?
Data handling as per maths in class seven is the process of collection and recording of data. Data thus collected and organised meaningfully helps us draw inferences and make decisions.
5. What is data, and how many types of data?
In simple terms, data is the raw and unorganised form of information; Data is a set of values of a subject with respect to qualitative and quantitative variables.The different types of data are as follows:
• Primary data
• Secondary data
• Categorical data
• Cross-sectional data
• Time series data
•  Ordered data
• Spatial data

Some other types of data are:

• Qualitative data
• Quantitative data

To understand data handling in terms of maths and more such important concepts, download the MSVgo app or visit https://msvgo.com/ to learn more. Here you will find a variety of easy-to-understand and detailed explanations of maths concepts in video form. These videos are curated specially to make education easy and fun for students.

### High School Physics

• Alternating Current
• Atoms
• Communication Systems
• Current Electricity
• Dual nature of Radiation and Matter
• Electric Charges and Fields
• Electricity
• Electromagnetic Induction
• Electromagnetic Waves
• Electrons and Photons
• Electrostatic Potential and Capacitance
• Fluid Pressure
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• Force And Laws Of Motion
• Gravitation
• Internal Energy
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• Light – Reflection And Refraction
• Magnetic Effects Of Electric Current
• Magnetism and Matter
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• Mechanical properties of Fluids
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• Motion
• Motion in a plane
• Motion in a straight line
• Moving Charges and Magnetism
• Nuclear Energy
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• Our Environment
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• Simple Machines
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• Thermal properties of matter
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• Units and Measurement
• Vectors, Scalar Quantities and Elementary Calculus
• Wave Optics
• Waves
• Work, Power and Energy

### High School Chemistry

• Acids, Bases and Salts
• Alcohols, Phenols and Ethers
• Aldehydes, Ketones and Carboxylic Acids
• Aliphatic and Aromatic Hydrocarbons
• Alkyl and Aryl Halides
• Amines
• Analytical Chemistry
• Atomic Structure
• Atoms And Molecules
• Basic concepts of Chemistry
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• Carbon And Its Compounds
• Carboxylic acids and Acid Derivatives
• Chemical Bonding and Molecular Structures
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• Chemistry in Everyday Life
• Chemistry of p-Block elements
• Chemistry of Transition and Inner Transition
• Classification of Elements
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• Electrochemistry
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• The d-block and f-block elements
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### High School Biology

• Absorption and Movement of Water in Plants
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• Diversity In Living Organisms
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• Flowering Plants
• Genes and Chromosomes
• Health and Diseases
• Health and Its Significance
• Heredity And Evolution
• Heredity and Variation
• How Do Organisms Reproduce?
• Human Diseases
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• Improvement In Food Resources
• Integumentary System- Skin
• Kingdom Fungi
• Kingdom Monera
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• Life Processes
• Locomotion and Movement
• Microbes in Human Welfare
• Mineral Nutrition
• Molecular Basis of Inheritance
• Morphology of Flowering Plants
• Neural Control And Coordination
• Nutrition in Human Beings
• Organism and Population
• Photosynthesis
• Photosynthesis in Higher Plants
• Plant Growth and Development
• Plant Kingdom
• Pollination and Fertilization
• Pollution; Sources and its effects
• Principles of Inheritance and Variation
• Reproduction and Development in Angiosperms
• Reproduction in Organisms
• Reproductive Health
• Respiration in Human Beings
• Respiration in Plants
• Respiratory System
• Sexual Reproduction in Flowering Plants
• Strategies for Enhancement in Food Production
• Structural Organisation in Animals
• Structural Organisation of the Cell
• The Endocrine System
• The Fundamental Unit Of Life
• The Living World
• The Nervous System and Sense Organs
• Tissues
• Transpiration
• Transport in Plants

### High School Math

• Algebra – Arithmatic Progressions
• Algebra – Complex Numbers and Quadratic Equations
• Algebra – Linear Inequalities
• Algebra – Pair of Linear Equations in Two Variables
• Algebra – Polynomials
• Algebra – Principle of Mathematical Induction
• Binomial Theorem
• Calculus – Applications of Derivatives
• Calculus – Applications of the Integrals
• Calculus – Continuity and Differentiability
• Calculus – Differential Equations
• Calculus – Integrals
• Geometry – Area
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• Geometry – Introduction to Euclid’s Geometry
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• Geometry – Lines and Angles
• Geometry – Straight Lines
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• Linear Programming
• Matrices and Determinants
• Mensuration – Areas
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• Number Systems
• Number Systems – Real Numbers
• Permutations and Combinations
• Probability
• Sequence and Series
• Sets and Functions
• Statistics
• Trignometry – Height and Distance
• Trignometry – Identities
• Trignometry – Introduction

### Middle School Science

• Acids, Bases And Salts
• Air and Its Constituents
• Basic Biology
• Body Movements
• Carbon and Its Compounds
• Cell – Structure And Functions
• Changes Around Us
• Chemical Effects Of Electric Current
• Coal And Petroleum
• Combustion And Flame
• Components Of Food
• Conservation Of Plants And Animals
• Crop Production And Management
• Electric Current And Its Effects
• Electricity And Circuits
• Elements and Compounds
• Fibre To Fabric
• Food production and management
• Force And Pressure
• Forests: Our Lifeline
• Friction
• Fun With Magnets
• Garbage In, Garbage Out
• Getting To Know Plants
• Health and Hygiene
• Heat
• Hydrogen
• Life Processes: Nutrition in Animals and Plants
• Materials: Metals And Non-Metals
• Matter and Its States
• Metals and Non-metals
• Micro Organisms: Friend And Foe
• Motion And Measurement Of Distances
• Motion And Time
• Nutrition In Animals
• Nutrition In Plants
• Organization in Living Things
• Our Environment
• Physical And Chemical Changes
• Pollution and conservation
• Pollution Of Air And Water
• Reaching The Age Of Adolescence
• Reproduction In Animals
• Reproduction In Plants
• Respiration In Organisms
• Rocks and Minerals
• Separation Of Substances
• Simple Machines
• Soil
• Some Natural Phenomena
• Sorting Materials Into Groups
• Sound
• Stars And The Solar System
• Structure of Atom
• Synthetic Fibers And Plastics
• The Living Organisms And Their Surroundings
• Transfer of Heat
• Transformation of Substances
• Transportation In Animals And Plants
• Universe
• Waste-water Story
• Water: A Precious Resource
• Weather, Climate And Adaptations Of Animals To Climate
• Winds, Storms And Cyclones

### Middle School Math

• Area and Its Boundary
• Boxes and Sketches
• Data Handling
• Fun With Numbers
• Heavy and Light
• How Many
• Long And Short
• Mapping
• Measurement
• Money
• Multiplication and Factors
• Multiply and Divide
• Numbers
• Parts and Wholes
• Pattern Recognition
• Patterns
• Play With Patterns
• Rupees And Paise
• Shapes And Angles
• Shapes And Designs
• Shapes and Space
• Similarity
• Smart Charts
• Squares
• Subtraction
• Tables And Shares
• Tenths and Hundredths
• Time