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Different Ways to Visualise Data


        The following are the different ways to visualise data:

                                           Data Visualisation Technique 1
          Name of the Representation                                 Bar Chart

         Description                    Graph that represents categorical data with rectangular bars with heights
                                        and length proportional to the values that they represent.
         How to draw?
                                                              Sale 2019–20 in Lacs



                                              Two Wheelers                                    174.16

                                             Three Wheelers  6.37


                                          Commercial Vehicles  7.18


                                           Passenger Vehicles  27.74

                                                        0.00      50.00     100.00     150.00    200.00

         Suitable for which type of data? It is used to compare things between different groups or to track changes
                                        over time. For example, marks of 5 subjects to compare, rise in population
                                        in five years and changing fuel price every month.


                                           Data Visualisation Technique 2
          Name of the Representation                                 Line Chart

         Description                    It is a graph that uses lines to connect individual data points. A line graph
                                        displays quantitative values over a specified time interval.

         How to draw?
                                                            Literacy Rate of India
                                            80.0
                                                                                              73.0
                                            70.0                                        64.8
                                            60.0
                                                                                52.2
                                            50.0
                                                                         43.6
                                            40.0
                                                                  34.5
                                            30.0           28.3
                                            20.0    18.3
                                            10.0
                                            0.0
                                                 1951   1961   1971    1981  1991    2001   2011

         Suitable for which type of data? It is most suitable for continuous data to identify a trend or pattern in
                                        your  data.  For  example,  changing  fuel  price,  daily  profit  earned  by  a
                                        shopkeeper, etc.




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