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Graphical Methods for Data Analysis Assignment

   

Added on  2021-02-20

1 Pages618 Words35 Views
Data AnalysisREFERENCESBooks and journals Chambers, J.M., 2017.Graphical methods for data analysis: 0. Chapman and Hall/CRC.It is important to present outcomes of data in proper wayso that audience can understand it easily. In order todo so there are many ways through which data iscommunicated that is either power point, report,poster, etc. It includes graphs, charts, etc. by which itis easy to visualise data findings. The main purposeof communicating results is to provide information topeople regarding study or research conducted.However, if data is not communicated properly itmakes it difficult for audience to understandoutcomes. Data visualisation is a way of representingdata through use of graphics, maps, etc. By thischange in trends, patterns of data can be identified. Inpresent times companies are highly using datavisualisation techniques. It has enabled in doingeffective communication. While communicating data,there are many ways of presenting it as well. Itdepends on data type, visual technique, etc. to select.In addition to it, the content of outcomes must also becorrectly written. It should match with graph, chart,table, etc. otherwise it will result in mismatch ofanalysis with content. Thus, outcomes will not becommunicated with proper content. In datavisualisation there are different types of graphs andcharts used. So, outcomes can be easilycommunicated with help of it. Apart from it, dataanalysis should also be done correctly which willprovide appropriate results. It requires various

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