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Statistical Data Projects Linked to SDGs

Data visualisation is the process of transforming raw data into visual formats such as graphs,
charts, and infographics, making complex datasets more accessible and easier to understand.
By presenting data in a visual form, it allows patterns, trends, and relationships to emerge

clearly, which might be difficult to identify from raw, unprocessed numbers alone. Visualisation
techniques help to reveal insights that can drive decision-making, offer a deeper understanding
of the subject matter, and highlight areas that require attention.

Moreover, data visualisation enhances the ability to tell a compelling story with data, turning
abstract figures into something tangible and relatable. It allows users to interact with the data,
enabling them to explore different perspectives and drill down into the details. This makes it
easier for individuals and organisations to identify correlations, anomalies, and key insights

that are pivotal for strategy development, forecasting, and problem-solving.
For Example: Company X made a profit of
10 million in Year 2023 and 15 million in

Year 2024.
Let’s explore how statistical data linked

to the SDGs and their data visualisation
can be understood through the given
scenarios.

Scenario 1: Data Visualisation of AI for Life Forms
A group of students is tasked with using the provided Biodiversity Trends Data to understand

how AI can help track and predict the population growth of endangered species over time.
The students will analyse the data, which contains the population trends of tigers, pandas, and
rhinos over five years (from 2010 to 2030).

The purpose of this scenario is as follows:
The goal of this task is to help students learn how AI technologies can be used to monitor

biodiversity, track the population changes of endangered species, and forecast future trends
using historical data. Students will explore how AI models can predict the growth of these
species and how they can be used for conservation efforts.

Sample data is as follows:

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