Page 217 - AI Ver 1.0 Class 9
P. 217
Why do you think we need to explore and visualize data before jumping into the AI model? Following are some
reasons:
• Understand trends: Visual representation of data grabs our interest and keeps our concentration. If we see
data in the form of numbers, understanding it will take some time. But when we see the same data in the form
of a chart, we quickly see trends and outliers.
• Deciding which model: Understanding visuals by humans is better than any tabular data format or reports.
Data visualization tools accelerate decision making based on the data insights, accelerating business growths.
• Easier to comprehend: Visualization is a key tool to make sense of huge data in the form of rows. A good
visualization tool helps to clean big data and highlight useful information. It enables decision makers to
interrelate the data to find better insights and be easy to comprehend.
• Easier to communicate: Visualization lets you communicate large amounts of data to the audience with ease.
Interactive data visualization tools help to communicate data findings and critical information effectively.
Need of Visualising Data
The needs for data visualisation are:
• It simplifies the complex quantitative information.
• It analyses and explores big data easily.
• It identifies the areas for improvement.
• It identifies the relationship between data points and variables.
• It explores new patterns and reveals hidden patterns.
Data Visualisation Tools
There are both manual analysis and automated analysis tools available for data visualisation. These tools help
us to visually explore and identify relationships between different datasets. Some of the commonly used data
visualisation tools are:
• Microsoft Excel: It is a manual data exploration tool provided by Microsoft. It provides different types of basic
charts and objects for visualising data. However, it is limited to use only for representing small amounts of
organised datasets. It is not preferable for big data.
• Tableau Public: It is free software allows us to create interactive data visualizations that we can share with
others. It has very large datasets. It is one of the most commonly used data visualisation tools.
• Microsoft Power BI: It is a data visualisation tool provided by Microsoft. It is freely available to download and
use.
• Datawrapper: It is one of the most commonly used data visualization tools in media sector. It uses .CSV files to
create charts and maps.
• Google Data Studio: It is a part of Google Marketing Platform and allows us to create multiple views of our data.
There are some other online websites also available for data visualization. For example,
https://datavizcatalogue.com
On this website, you will find various types of graphical representations and flowcharts.
AI Project Cycle 215

