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Data Handling


                          4                    and Presentation











                  4.1 INTRODUCTION
                                                                          Learning Outcomes
                  In today’s world, we encounter data everywhere: the      By the end of this chapter, students will be able to:
                  number of students in your class, the marks obtained in
                  exams, or even the scores of your favourite cricket team.    • Understand the concept of data and its importance
                  ‘Any collection of  facts, numbers, measures, observations,   in daily life.
                  or other descriptions of things under investigation that     • Collect data and organise it systematically in tables.
                  convey information about those things is called data.’      • Represent data using pictographs and bar graphs.
                  But what do we do with this data? How can we make           • Interpret data from various visual representations.
                  sense of it and use it to understand things better? This     • Solve real-life problems using data handling
                  is where data handling comes into play. Data handling      techniques.
                  is the process of collecting, organising, and presenting this information in a way that is easy to understand
                  and use. It plays a crucial role in aiding our decision-making, problem-solving, and effective communication.

                  4.2 COLLECTING and ORGANISING DATA

                  In data handling, the information we collect can be categorised into two types: Primary Data and Secondary
                  Data. Let’s understand what these terms mean.

                  Primary Data

                  Primary data is the information that you collect directly through your efforts and observations. This type of data
                  is gathered first-hand, meaning you are the one who personally collects it. Primary data is usually collected
                  for a specific purpose or project.
                  For example: Navya decided to visit each of the 30 students in her class and ask about their favourite games.
                  Then, she prepared a list of the collected data. Navya is showing the list:

                     1.  Tamim     – Cricket           11.  Pushkal  – Pittu              21.  Anaya    – Kabaddi
                     2.  Simran    – Kabaddi           12.  Densy    – Badminton          22.  Jivisha   – Pittu
                     3.  Nand      – Pittu             13.  Jivika   – Pittu              23.  Rajesh   – Football
                     4.  Ankita    – Kabaddi           14.  Leela    – Hockey             24.  Thara    – Football
                     5.  Imon      – Hockey            15.  Afshan   – Hockey             25.  Soumya  – Cricket
                     6.  Yuvraj    – Cricket           16.  Keerat   – Cricket            26.  Navjot   – Hockey
                     7.  Rehana    – Hockey            17.  Gurpreet  – Hockey            27.  Hemal    – Pittu
                     8.  Aparna    – Badminton         18.  Arsh     – Kabaddi            28.  Debabrata – Football
                     9.  Kompal  – Football            19.  Bhavya   – Cricket            29.  Ananya   – Hockey
                     10.  Joolie   – Hockey            20.  Sarah    – Kabaddi            30.  Hardik   – Cricket
                  The data provided in the table above is an example of primary data because it was collected directly by Navya
                  herself after she asked each student in her class.


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