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     Arrange data in order: Sorting the data helps you see trends more easily. For example, sorting
                        students’ marks from highest to lowest helps you compare performance.

                      Group related items: Organise similar data together to make analysis easier. For example,
                        group marks by subject to compare performance across different subjects.

                     Once the data is cleaned and organised, it’s much easier to create clear and effective visualisations.
                     For example, organising student marks properly will allow you to create a bar chart that clearly
                     shows each student’s performance.

                     DATA VISUALISATION

                     Data visualisation is the process of turning data into visual forms like charts, graphs or maps.
                     Visual representations make it easier to understand data than looking at long tables of numbers.
                     When you see data visually, your brain can quickly spot patterns, trends and important details.
                     Here are the examples of Data Visualisation:

                      Sound patterns in music can be shown using waveforms to help you understand changes in
                        sound.

                      Some devices use touch signals to give you a sense of data, like feeling vibrations or pressure
                        changes.

                     The main goal of data visualisation is to make it easier for you to identify important information,
                     trends and patterns. It helps you understand the meaning of data quickly, so you can make better
                     decisions.

                     Need to Explore and Visualise Data

                     Visualising data helps you understand it better. It turns complex numbers into something easy to
                     grasp. Here’s why exploring and visualising data is important:

                      Understand trends: It’s easier to see patterns in a chart or graph than in a table. For example,
                        a line graph showing how many goals a football team scores in each match can quickly show
                        if their performance is improving or declining.
                      Deciding which model to use: If a graph shows steady growth, you might use a model to
                        predict future growth.

                      Easier to comprehend: Visual  tools  like  bar  charts  make  it  simpler  to  understand  large
                        amounts of data. For example, a bar chart of student marks helps you see who scored the
                        highest and who scored the lowest.

                      Easier to communicate: It’s much easier to show a graph than read through pages of numbers,
                        making it simpler to explain your findings to others.

                     Data visualisation is important because it makes complex data easier to understand and helps
                     you make better decisions. Here’s how it’s useful:

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