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DATA VISUALISATION
3 AND ANALYSIS
PRIMARY PREVIEW
Organising and Visualising Data for Smarter Decision Making
Understanding Data Simple Methods of Data Collection
Data Sources Understanding Digital Data
Data Formats and Storage Data Visualisation
Interpreting Data Data Analysis
Thinking Like a Data Analyst
Every day, you come across information such as test marks, weather updates or the number of
steps counted by a fitness band. These are all examples of data, which play an important role in
your daily life.
In today’s digital world, data surrounds you. Whether you’re using a mobile phone to message
friends, browsing the internet to research for a project, shopping online for new clothes or
checking the weather to decide what to wear, data is being created. Schools track your marks and
attendance, hospitals monitor patients and scientists collect measurements during experiments;
all of this is data. However, data alone doesn’t provide much value. It becomes truly useful when
it is organised, understood and presented in a clear and meaningful way.
ORGANISING AND VISUALISING DATA FOR SMARTER DECISION MAKING
Imagine you are the captain of your school’s cricket team. After a match, you have a detailed list
of everything that happened during the game, such as:
Every ball bowled: This shows which bowler bowled each delivery, the number of balls bowled,
wickets taken or runs conceded.
Every run scored: This tracks how many runs each batsman scored in each over, including
singles, boundaries or extras.
Every catch dropped: This records the catches that fielders dropped, which could have led to
dismissing a batsman.
This long list of information is called raw data. It is like a collection of facts, but without much
meaning on its own.
44 Artificial Intelligence (CT & AI)-VII
