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Scatter Plot

                  Data Visualisation Tools
                  Some commonly used data visualisation tools are:
                     • Microsoft Excel: A manual tool from Microsoft offering basic charts and graphs for small,
                     organised datasets. It is not suitable for very large data.
                     • Tableau Public: A free, widely used software that creates interactive data visualisations and
                     supports very large datasets.
                     • Microsoft Power BI: A powerful and free data visualisation tool by Microsoft that helps in
                     analysing and presenting data effectively.
                     • Google Data Studio: Part of Google Marketing Platform, this tool allows you to create multiple
                     custom views and reports from your data.
                     • Plotly: An open-source graphing library for creating high-quality interactive charts in Python,
                     R, and JavaScript.
                     • Zoho Analytics:  A  cloud-based  tool  offering  drag-and-drop  interfaces  to  create  detailed
                     reports and dashboards.
                     • Infogram: An easy-to-use tool for creating infographics, reports, and interactive charts for
                     online sharing.



                     Activity

                   Collecting and Exploring Data!

                   In this activity, you will learn how to collect, look at, and understand data. Data collection
                   means  gathering  information  from  different  places,  like  surveys  or  online  sources.  Data
                   exploration means organising and showing this information in simple ways to find useful
                   details  and  patterns.  By  the  end  of  this  activity,  you  will  see  how  data  can  help  answer
                   questions and tell stories.




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