Page 43 - CT_AI_Class-6
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  Rows: Horizontal lines that show information for one item.

                   Columns: Vertical sections that group similar data together.
                   Cells: A cell is the individual unit where data is entered. It is the intersection of a row and a column.

                 For example, Ananya is organising a study night with her friends and wants to ensure that the
                 snacks and drinks she provides will be enjoyed by everyone. To make an informed decision, she
                 decided to ask her friends about their snack and drink preferences and record the data.

                 After asking each friend, here are their snack and drink preferences:
                   Riya: Prefers pizza and a glass of juice.

                   Aarav: Likes burger and a bottle of cold drink.
                   Meera: Prefers sandwich and a glass of fresh juice.

                   Diya: Prefers cake and a glass of milkshake.
                 After collecting the data, table created as shown:


                                            Friend          Snack               Drink

                                          Riya          Pizza             Juice

                                          Aarav         Burger            Cold Drink


                                          Meera         Sandwich          Fresh Juice

                                          Kabir         Pizza             Soda

                                          Diya          Cake              Milkshake


                 This table helps Ananya make an informed decision about what snacks and drinks to provide at
                 the study night.

                 Let’s see one more example. Neha runs a small dosa cart and wants to keep a record of her daily
                 sales. She uses a table to organise the data clearly, which helps her track the number of dosas
                 sold each day.


                                        Day          Plain Dosa      Masala Dosa       Total Sold

                                   Monday                25                30              55

                                   Tuesday               20                28               48

                                   Wednesday              22               35               57
                                   Thursday               18               27              45


                 By organising the data this way, Neha can easily monitor the sales of both plain and masala

                 dosas and calculate the total number sold each day. This helps her understand which days are
                 busier and plan her inventory accordingly.




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