Page 217 - AI Ver 1.0 Class 9
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Why do you think we need to explore and visualize data before jumping into the AI model? Following are some
            reasons:
               • Understand trends: Visual representation of data grabs our interest and keeps our concentration. If we see
              data in the form of numbers, understanding it will take some time. But when we see the same data in the form
              of a chart, we quickly see trends and outliers.

               • Deciding which model: Understanding visuals by humans is better than any tabular data format or reports.
              Data visualization tools accelerate decision making based on the data insights, accelerating business growths.
               • Easier to comprehend: Visualization is a key tool to make sense of huge data in the form of rows. A good
              visualization  tool helps  to clean big data and highlight useful  information. It enables decision  makers  to
              interrelate the data to find better insights and be easy to comprehend.
               • Easier to communicate: Visualization lets you communicate large amounts of data to the audience with ease.
              Interactive data visualization tools help to communicate data findings and critical information effectively.


            Need of Visualising Data

            The needs for data visualisation are:
               • It simplifies the complex quantitative information.

               • It analyses and explores big data easily.
               • It identifies the areas for improvement.
               • It identifies the relationship between data points and variables.

               • It explores new patterns and reveals hidden patterns.

                    Data Visualisation Tools


            There are both manual analysis and automated analysis tools available for data visualisation. These tools help
            us to visually explore and identify relationships between different datasets. Some of the commonly used data
            visualisation tools are:
               • Microsoft Excel: It is a manual data exploration tool provided by Microsoft. It provides different types of basic
              charts and objects for visualising data. However, it is limited to use only for representing small amounts of
              organised datasets. It is not preferable for big data.

               • Tableau Public: It is free software allows us to create interactive data visualizations that we can share with
              others. It has very large datasets. It is one of the most commonly used data visualisation tools.
               • Microsoft Power BI: It is a data visualisation tool provided by Microsoft. It is freely available to download and
              use.
               • Datawrapper: It is one of the most commonly used data visualization tools in media sector. It uses .CSV files to
              create charts and maps.
               • Google Data Studio: It is a part of Google Marketing Platform and allows us to create multiple views of our data.

            There are some other online websites also available for data visualization. For example,

            https://datavizcatalogue.com

            On this website, you will find various types of graphical representations and flowcharts.




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