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For example, if you have to buy a laptop, you need to explore your requirements of the configuration that you
                 want, of the RAM, hard disk, processor, operating system, graphic card, touch screen or not, etc. But from this
                 unstructured data you have to choose the one that suits the best to your needs. Similarly, after the data is acquired,
                 it needs to be explored to suit the needs of the AI Project.
                 Visualisation of the data plays a very important role in data analysis. This visualisation process has to be carried in
                 some user-friendly format so that you can:
                    • Quickly get a sense of the trends, relationships and patterns contained within the data.
                    • Define strategy for which model to use at a later stage.
                    • Communicate the same to others effectively.


                 Different Ways to Visualise Data
                 The following are some of the different ways to visualise data:


                                                      Data Visualisation Technique 1


                  Name of the representation      Bullet Graphs

                                                  It is just like a bar graph with extra visual elements for more explanatory
                  Description
                                                  comparison.


                                                                                    stretch goal
                                                                                    base goal


                                                   Business A                       50




                                                   Business B          20
                  How to draw?


                                                   Business C                         55




                                                   Business D                                                110


                                                             0       20       40      60       80      100
                                                  It is used as data comparison of primary data with respect to other data and
                  Suitable for which type of data?  displays it in the context of qualitative ranges of performance, such as poor,
                                                  satisfactory, and good.


                                                      Data Visualisation Technique 2

                  Name of the representation   Histogram

                                               It is bar graph-like representation of data where data is on x axis and the number,
                  Description
                                               count or percentage of occurrences in the data will be on y axis.



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