Basic HTML Version

|  | Table of Contents |  | View Full Version

Page 47 - CT_AI_Class-7
P. 47

    For example, here’s some raw data for the bowlers:

                              Bowler                Balls Bowled            Wickets Taken           Runs Conceded
     DATA VISUALISATION   Player A                        6                        1                       25

                                                                                   2
                                                                                                            15
     AND ANALYSIS     Player B                            6                        0                       30
                      Player C
                                                          6
                     From this list, you can see that Player B bowled the most successful over, taking 2 wickets, while
                     Player C gave away the most runs.

                     Now, to make this data useful, you need to organise it. Organising means sorting the data in a
                     way that helps you understand it better. For example, if you want to know which bowler was most
                     effective, you can arrange the data based on wickets taken. After organising, the data might look
                     like this:

                              Bowler                Balls Bowled            Wickets Taken           Runs Conceded

                      Player B                            6                        2                        15

                      Player A                            6                        1                        25

                      Player C                            6                        0                       30

                     Now it’s clear that Player B was the most successful bowler, taking 2 wickets, while Player C had

                     no wickets but gave away more runs.
                     After organising the data, you can visualise it. Visualisation means presenting the data in a way
                     that makes it easier to understand, like with charts or graphs. For example, you could create a

                     bar chart to show how many runs were scored in each over. This helps you quickly see which
                     overs were the most expensive (i.e., where the most runs were scored). Here’s how the chart
                     might look for runs scored in each over.

                                                                                             Over        Runs Scored
                                                                                          Over 1               10
                                                                                          Over 2               5
                                                                                          Over 3               12
                                                                                          Over 4               8

                                                                                          Over 5               14
                                                                                          Over 6               6

                                                                                     Data Visualisation and Analysis  45

| 42 43 44 45 46 47 48 49 50 51 52 |