Page 36 - FULL REPORT 30012024
P. 36

cleaning  techniques,  organizations  can  enhance  the  quality  and

                                       reliability of the data, reducing the risk of erroneous or misleading

                                       analysis results.


                                iv.    Data Analytics


                                       In this phase, the data that have been processed can be use to identify
                                       trends and patterns using statistical and computational methods. This

                                       may entail applying machine learning algorithms to spot trends and

                                       predict future events (Rawat, 2021). Through the analysis, researcher
                                       able to identify trends, pattern and uncover any problems and make

                                       data-driven decision.


                                    e.  Data Visualization


                                       In this phase, the data analysis results are presented in a form that is

                                       simple to comprehend and analyse. To communicate the conclusions
                                       drawn  from  the data analysis,  this  may need the use of diagrams,

                                       graphs, and other visualisations. Example of visualization is bar chart,
                                       histogram, pie chart, heatmaps and plot graphs.




                        2.4     Data Visualization Techniques



                                According to Kaur and Kaur (2020), data visualisation is the representation

                                of data in a graphical or pictorial format for easy comprehension, and it is an

                                essential instrument for analysing complex datasets and identifying patterns
                                and  trends.  Using  data  visualisation  techniques,  the  relationship  between

                                datasets is illustrated.















                                                               19
   31   32   33   34   35   36   37   38   39   40   41