4001485
Description
Mind Map by Calum_Weeks, updated more than 1 year ago
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Created by Calum_Weeks
about 9 years ago
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Data & Information
- What is data?
- RAW Material
- meaning less details as lack relevance
- Have no context
- RAW Material
- Forms of Data
- Numbers
- Words
- Images
- Sounds
- Numbers
- How can data arise
- Direct Source
- Counting cars as
they enter a car
park
- Counting cars as
they enter a car
park
- Purpose for
which it is
collected
- Indirect data
- Collected for one purpose
and used for another
- EXAMPLE: Sales data
from credit card used
for promotional
- EXAMPLE: Sales data
from credit card used
for promotional
- Collected for one purpose
and used for another
- Direct Source
- Why Code Data
- Less effort to type
- More data can
appear on screen
- Takes up less storage
- Easier to check the
code is accurate
- Less effort to type
- Examples of Coded Data
- dd/mm/yy
- M or F
- GB, AU, CH, ES
- dd/mm/yy
- Encoding
- Putting data into a
specified format that
allows effective
transmission or storage
- Data is converted into
binary to allow the
computer to understand it
- ASCII Encoding -
where keyboard
characters are
changed into Binary.
A = 01000001
- Putting data into a
specified format that
allows effective
transmission or storage
- Why encode Data?
- To compress Data
- Makes it smaller and
occupy less space
- Makes it smaller and
occupy less space
- Enable a file produced in one software package to be read by
someone who does not have that software package on their computer
- To compress Data
- Types of Encoding
- Images
- GIF
- JPG
- BMP
- PNG
- GIF
- Sound
- WAV
- MP3
- WMA
- WAV
- Images
- Difference between Data & Information
- Data is raw values
put into, stored and
processed by a
system
- Information is produced as
data with a context.
- Data is raw values
put into, stored and
processed by a
system
- What is information?
- Information is processed data
- Data that has been
- Processed
- Contextualised
- Organised in the same way
- Processed
- Information is processed data
- Quality of information
- Accuracy
- Information to be easily understood
- Relevance
- Up to date
- Accuracy
- Why keep data
up to date?
- Data Protection
- Accurate Predictions
- Accurate analysis of Data
- Data Protection
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