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Data Logging 01

Data logging lets computers collect sensor readings automatically over time. Learn how data loggers work, why sampling matters, and how results can be analysed.

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Fascinating Fact:

Accuracy depends on sensor quality and calibration, and poor calibration can produce misleading results.

In KS3 ICT, data logging means using sensors and a data logger to record measurements automatically, often at regular intervals. This is useful for tracking changes, spotting patterns, and turning readings into graphs or reports.

Key Terms

Data logger: A device or system that records data automatically, usually from sensors, and stores it for later analysis.
Sensor: A component that detects a physical change, such as temperature or light, and converts it into data a computer can record.
Sampling interval: The time gap between each reading, such as taking a measurement every second or every minute.

Frequently Asked Questions (Click to see answers)

What is data logging in KS3 ICT?

In KS3 ICT, data logging is when a computer system uses sensors to record measurements automatically over time, storing the readings so they can be analysed and graphed.

What is the difference between data logging and data capture?

Data logging records readings automatically at set times, often using sensors. Data capture is a wider idea that includes manual entry or scanning, where a person may input the data.

Why does the sampling interval matter in data logging?

The sampling interval matters because it affects detail and accuracy. If readings are too far apart you might miss changes, but very frequent readings can create huge files and noise.

Try These Related Quizzes

1 .

Data logging means collecting and storing data .......

automatically

chopping (splitting) up streams of data

in a log book

manually

This has many advantages

2 .

Data loggers use ....... as input devices.

light pens

scanners

sensors

touch screens

They contain electronic devices that will convert an environmental change into an electrical signal

3 .

Which of these sensors is not suitable for its use?

Humidity sensor and tropical greenhouse data

Light sensor and engine exhaust gas data

Radiation sensor and nuclear reactor data

Temperature sensor and weather station data

A gas sensor is more appropriate

4 .

Sensors convert environmental information into .......

electrical voltages

magnetic fields

mechanical energy

vibrations

Some use electrical components to detect the environmental changes but others, like a water flow rate sensor, use mechanical components

5 .

Sensors are usually classed as 'digital' or .......

analogue

binary

directional

varied

An example of an analogue sensor would be a microphone

6 .

Analogue sensors can be connected to a computer via .......

analogue to digital converters

signal converters

transducers

wires

Data is stored on a computer as a series of zeros and ones

7 .

Sensors can collect data remotely from a computer .......

using 'data bloggers'

using 'data joggers'

using 'data loggers'

using 'data logs'

Recording a series of data is referred to as 'logging'

8 .

Data loggers are devices attached to sensors which .......

collect and store data over a period of time

collect data, store and process it

collect data and store it

store data

This data can then be processed to give charts and graphs that a person can use to draw conclusions

9 .

Which of these is not a suitable use for a data logger?

Collecting data about river water levels

Collecting data about seasonal rainfall

Collecting data about the current air temperature

Collecting data from earthquake zones

Data loggers collect lots of data over a period of time. Recording the current air temperature requires only one reading

10 .

Data logger data is sometimes stored in CSV format .......

because this saves storage space

so it can be imported into a spreadsheet or database

so that the data transfers more quickly

which is an encrypted format for extra security

CSV stands for Comma Separated Variable

You can find more about this topic by visiting BBC Bitesize - Data and databases

Author: Duncan Daish

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