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There are datasets readily available from various research institutions, government agencies, or online
platforms that can be used for common AI tasks like image classification, natural language processing,
etc.

Pop
Pop Quiz Quiz
Write at least five data sources to acquire data for an AI project.

1. ____________________________________ 2. ____________________________________

3. ____________________________________ 4. ____________________________________

5. ____________________________________

DATA EXPLORATION

Data Exploration is the third stage of the AI Project Cycle where collected data needs to be explored and
interpreted to extract useful information and better understand the quality and nature of data. Let us understand
the concept of data exploration with the help of an example.
Example: Suppose you are the head of the Admission Cell in a school. All the admission counselors have submitted
their data in the form of Excel sheets. In such a case, you get a large amount of data among which both useful
and useless data is available. Naturally, you want to keep only the useful data. In such a situation, you need to
spend time, exploring the data to extract useful data according to your requirements. Similarly, when you have
a large number of datasets about a particular topic, you can do the following things:

u Identify trends, relationships, and patterns present in the dataset.
u Define an efficient strategy to extract the relevant data from the dataset.

Tools for Data Visualisation

Data Visualisation can be thought of as magic wands that turn dull numbers and data into vibrant pictures. These
tools act as artists, making data easy to understand by creating visual masterpieces. Think of them as our trusty
companions in the journey of AI, revealing patterns and stories hidden in the numbers. Let’s explore how these
tools make the world of data not just informative, but also fascinating and fun! Some popular and free data
visualisation tools are:
u Microsoft Excel: Excel, a spreadsheet application from Microsoft, is a manual data exploration tool. It
provides different types of charts and objects for visualising data. Although, it is not preferable for big
datasets, it can still provide insights into small to medium datasets.
u Microsoft Power BI: Microsoft Power BI is a data visualisation tool offered by Microsoft. It is a business
intelligence (BI) tool that helps you analyse, visualise, and share data. It can work with datasets of any size,
clean and transform the data, create charts, graphs and other visuals for the data, and also allows to share
insights to help with decision-making. It is freely available to download and use.
u Looker Studio: Looker Studio, formerly known as Google Data Studio, is a free cloud-based tool that helps
users create reports and dashboards from data. It can connect up to 12 data sources simultaneously and
provides widgets, charts, graphs and maps to visualise data in different forms.
u Datawrapper: Datawrapper is a data visualisation tool that lets users create interactive charts, maps, and
tables without any coding. It’s designed for journalists, researchers, businesses, and educators, making it
easy to turn raw data into visually appealing graphics, in minutes.

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