TechnologyAI & Data
Data & Big Data: fun facts and quiz
The essentials in 7 ideas, with fun facts, an illustrated story and a quiz to see how much you know.
The essentials
What Data Is
Data is recorded information: numbers, words, photos, clicks and sensor readings. On its own it’s raw; analysed, it becomes useful knowledge.
Key fact
“Data” is plural; one piece is a datum.
Measuring Data
Data is measured in bytes. A kilobyte is about a thousand bytes, a megabyte a million, a gigabyte a billion, and a terabyte a trillion.
Key fact
A typical phone photo is a few megabytes.
Big Data
Big data means datasets so huge and fast-moving that ordinary tools can’t handle them, like every search or card payment in a country.
Key fact
The world now creates well over 100 zettabytes of data a year.
Charts & Graphs
Charts turn data into pictures. Bar charts compare amounts, line charts show change over time, and pie charts show parts of a whole.
Key fact
An axis that doesn’t start at zero can exaggerate differences.
Data Can Mislead
Data can mislead through tiny samples, cherry-picked numbers or tricky charts. Asking “compared to what?” helps you spot it.
Key fact
A 100% rise from 1 to 2 is still tiny.
Data Science
Data scientists clean data, look for patterns and build models to answer questions, like which treatment works best or when trains will be busiest.
Key fact
Cleaning messy data often takes most of the time.
Open Data
Open data is shared freely for anyone to use, like weather records, maps and public transport times. Apps and researchers build on it.
Key fact
Many transport apps use cities’ open timetable data.
Fun facts
The word “data” comes from Latin, meaning “things given”.
“Byte” was spelled with a y on purpose, so it wouldn’t be mistaken for “bit”.
The Large Hadron Collider makes so much data that it throws most of it away within a fraction of a second.
Charles Minard’s 1869 chart of Napoleon’s march on Moscow packs six kinds of data, from army size to temperature, into one picture.
3D pie charts mislead: slices at the front look bigger than equal slices at the back.
“Data scientist” only became a common job title around 2008. By 2012, it was being called the sexiest job of the century.
OpenStreetMap, a free map of the world, is built by millions of volunteers.
Story: The Flu Tracker That Failed

The Flu Tracker That Failed
2008. Google launches Flu Trends. By counting searches like “fever” and “cough”, it spots flu outbreaks faster than official health reports.
At first it works brilliantly. Big data, people say, will let us see the world in real time.
In early 2013 it predicted about twice the real level of flu. Searches had jumped with scary news stories. Google shut it down in 2015.
True or false?
Tap your answer to see if you got it, and why.
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Question 1 of 10
Data can include photos and clicks.
Show the answer
True. Anything recorded can be data.
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Question 2 of 10
A gigabyte is bigger than a megabyte.
Show the answer
True. About a thousand times bigger.
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Question 3 of 10
Big data can be too large for ordinary tools.
Show the answer
True. It needs special systems.
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Question 4 of 10
Line charts are good at showing change over time.
Show the answer
True. The line rises and falls with time.
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Question 5 of 10
Cherry-picked data can give a false picture.
Show the answer
True. Leaving out the rest changes the story.
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Question 6 of 10
Cleaning data is a big part of data science.
Show the answer
True. Real data is messy.
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Question 7 of 10
Open data can be used freely by anyone.
Show the answer
True. That’s the point of it.
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Question 8 of 10
Data only means numbers in a spreadsheet.
Show the answer
False. Text, images and sound are data too.
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Question 9 of 10
A kilobyte is bigger than a terabyte.
Show the answer
False. A terabyte is about a billion times bigger.
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Question 10 of 10
Big data just means one large spreadsheet.
Show the answer
False. It’s far bigger and faster-moving.
Keep going in the app
KnowSoda learns what you know and brings back what you’re about to forget. Data & Big Data has 6 more ideas at the Advanced and Expert levels.
Sources
- IDC — Worldwide Global DataSphere forecast
- OpenStreetMap Wiki — Stats
- Office for National Statistics (UK) — Data visualisation guidance
- Encyclopaedia Britannica — byte, big data, data science
- Encyclopaedia Britannica — William Playfair; SQL
- Anscombe (1973), graphs in statistical analysis, The American Statistician 27
- Dean & Ghemawat (2004), MapReduce: simplified data processing on large clusters


