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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.
40 Touchpad Artificial Intelligence (Ver. 2.0)-VIII

