Page 226 - Artificial Intellegence_v2.0_Class_9
P. 226

Data Visualisation


        Data visualisation is the graphical representation of data and information. By using graphical tools like charts
        and graphs, it is an easier way to understand the trends and patterns in data.
        Data visualisation can be done through a combination of automated tools and manual methods. It encompasses
        all aspects of the visual representation. It helps you arrange your scattered data into a structured pattern with
        specific characteristics following important trends in detail. It also helps to make better decisions.

        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.

              224     Touchpad Artificial Intelligence (Ver. 2.0)-IX
   221   222   223   224   225   226   227   228   229   230   231