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2.8 Stroke Risk Prediction System Requirement

This topic is essential to facilitate the process of design and development for

this project. There are tools that have listed based on their functions such as
data visualization, web frameworks and data storing tools. This topic also

includes the datasets that will be used for this project.

2.8.1 Data Visualization Tools

Data visualization tools are essential for effectively communicating insights
and patterns hidden within complex and large datasets. They enable the

transformation of raw data into visual representations such as charts, graphs,

maps, and dashboards, making it easier to understand and interpret the
information. By visualizing data, patterns, trends, correlations, and outliers

can be quickly identified, helping to gain actionable insights and make
informed decisions. There are numerous tools available for data visualization,

each offering its own unique features and capabilities.

i. Power BI

Users can build interactive visualisations and reports using the

business intelligence application Microsoft Power BI. It includes a
wide range of visualisation possibilities, such as graphs, maps, and

programmable dashboards, and connects with numerous data sources.

ii. Chart.js

Chart.js is a powerful and flexible data visualization library designed

for web developers. It specializes in rendering charts and graphs
directly within web pages and applications, using HTML5 Canvas.

Chart.js provides a variety of interactive chart types, such as line, bar,
pie, radar, and more, each highly customizable and responsive to

ensure a seamless integration in modern web interfaces.

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