Page 35 - CT_AI_Class-5
P. 35
forms or important groups of people are left out, meaning the data does not give a
true picture.
Here are some examples of how data can go wrong and why it matters:
Inaccurate Data: A thermometer sensor placed in direct sunlight will always
show a temperature much higher than the actual room temperature, making
the data inaccurate.
Incomplete Data: A survey about favourite school subjects that is only given to
students in the science club will not represent all students fairly. Students who
love art, music or languages won’t be included.
Unfair Data: A school database where some students’ dates of birth are entered
incorrectly will give unreliable results when studying how age affects learning.
21 st
Century #Creativity
art integration activity Skills
Create a poster on Good Data and Bad Data using an AI tool. Download and save your poster
with your roll number, then present it in the classroom.
Data is the raw collection of facts, figures, symbols or observations that represent
details about events or objects.
Data doesn’t appear out of nowhere. It is collected from the world around us every
minute of the day.
Structured data is information arranged in a clear and tidy way, usually in rows and
columns, just like a table or a spreadsheet.
Unstructured data does not follow a fixed pattern.
Machines collect data without any help from humans. They do this all day and night,
without stopping.
A database is like a large, well-organised digital cupboard. Instead of paper files and
folders, it keeps information in electronic tables. These tables are organised in rows
and columns.
Sorting means putting data in a particular order.
Filtering means showing only the rows that match a condition you set and hiding
everything else.
Good data is data that we can trust. It helps us make decisions or learn more about
something.
Bad data is inaccurate, incomplete or unfair.
Good Data and Bad Data 33
