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 Continuous Data: Continuous data
can take any value within a range
and can be measured with great
precision. It often includes decimal
points and is used for things like
size, weight, time and temperature.
For example, the height of a person, the temperature of a room or the time it takes to finish a race.

THE CONTENT OF A BOOK ARTICLES IN NEWSPAPERS Text Data (Words and Sentences)
Text data is information shown through
letters, words, sentences, symbols and
punctuation marks. It is the most common
type of data used for writing, reading,
CONTACT INFORMATION RESPONSES IN A SURVEY
sharing knowledge and keeping records.
Text data is easy to read, edit, store and
James Dean
+91 98125678
search. This type of data is usually stored
rm@gmail.com
in file formats such as TXT, DOCX, PDF,
HTML and CSV.
Examples of text data include the content of books like novels or textbooks, articles from
newspapers, magazines or online journals, contact information like names, phone numbers and
email addresses, as well as responses collected from surveys or questionnaires.

Image Data (Pictures and Visuals)

Image data represents visual information in the form of pictures, graphics or diagrams. It’s
used to convey information that is better understood visually rather than through text alone.
This type of data is usually stored in
file formats such as JPEG, TIF, IMG or
JPG. Examples of image data include
bar charts displaying sales over time,
flowcharts depicting a process, family
photos or event pictures, geographic
maps (such as world or city maps), the
use of emoticons or emojis to convey
emotions and visual representations
that combine images, charts and text
to explain complex concepts.

Sound Data (Audio or Voice)

Sound data refers to information captured and stored in digital form, including speech, music
and environmental noises. It’s used to convey messages through sound rather than visual means.
This data can be recorded through microphones or other audio devices. This data is stored in

formats such as MP3, WAV, AAC, FLAC and OGG.

Basic Data Concepts 35