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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.

First, we will collect data. This could be from a list, a website or by asking people questions.
After collecting the data, we will organise and check it carefully. This means fixing any mistakes,
sorting it and looking for patterns or trends. You will also learn how to make pictures like charts
and graphs that make the data easy to understand.

Doing this will help you learn important skills for making good decisions based on facts. These
skills are useful when working with numbers, words or pictures.

Let’s start and discover how powerful data can be!
How to Do the Activity

STEP - 1 Collecting Data

Ask every student in the class for this information:

Name Height Weight
Age Address Favourite hobby

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