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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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