Wolfram Computation Meets Knowledge

16 Real‐World Data

16RealWorld Data
But how can you talk about a country in the Wolfram Language? The easiest way is just to use plain English. You can tell the Wolfram Language you’re going to be giving it plain English by pressing ctrl+= (hold down the Control key and press the = key), or on a touch device, by pressing the  button.
InputForm[" "]
Enter the plain English “united states”:
InputForm["united states"]
As soon as you press (or click away), the Wolfram Language will try to interpret what you typed. Assuming it succeeds, it’ll display a little yellow box that represents a Wolfram Language entity. In this case, it’s the entity corresponding to the United States.
Entity["Country", "UnitedStates"]
Press the check mark to confirm that’s what you want:
Entity["Country", "UnitedStates"]
Now you can ask for lots of properties of this entity. Like you could ask for the US flag.
Ask for the flag property of the United States:
Entity["Country", "UnitedStates"]["Flag"]
 
The result you get is something you can go on doing computation withlike in this case image processing.
Color-negate the US flag:
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InputForm["US flag"]
 
EntityValue is a more flexible way to ask for the values of properties.
Use EntityValue to get the US flag:
EntityValue[Entity["Country", "UnitedStates"], "Flag"]
 
EntityValue also works with lists of entities.
Get flags for a list of countries:
EntityValue[{Entity["Country", "UnitedStates"], Entity["Country", "Brazil"], Entity["Country", "China"]}, "Flag"]
 
The Wolfram Language has deep knowledge about countries, as about many other things.
Find out how many radio stations there are in the list of countries:
EntityValue[{Entity["Country", "UnitedStates"], Entity["Country", "Brazil"], Entity["Country", "China"]}, "RadioStations"]
 
Make a pie chart of the results:
PieChart[ EntityValue[{Entity["Country", "UnitedStates"], Entity["Country", "Brazil"], Entity["Country", "China"]}, "RadioStations"]]
 
Entity["Country", "Switzerland"]["BorderingCountries"]
 
Find their flags:
EntityValue[ Entity["Country", "Switzerland"]["BorderingCountries"], "Flag"]
 
Sometimes you’ll want to talk about a class of entitieslike, say, planets.
Ask for planets, and get the class of entities corresponding to planets:
InputForm["planets"]
 
Get the list of planets:
EntityList[EntityClass["Planet", All]]
 
Get images of all of the planets:
EntityValue[EntityClass["Planet", All], "Image"]
 
EntityValue can actually handle entity classes directly, so you don’t need to use EntityList with it.
Get the radius of each of the planets, and make a bar chart of them:
BarChart[EntityValue[EntityClass["Planet", All], "Radius"]]
 
It’s very convenient to use plain English to describe things. But a downside is that it can be ambiguous. If you say “mercury”, do you mean the planet Mercury or the chemical element mercury or something else called “mercury”? When you use ctrl+=, it’ll always make an initial choice. But if you press the  you can change to another choice. Press the check mark  to accept a choice.
InputForm["mercury"]
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To see how the Wolfram Language internally represents entities you can use InputForm.
Show the internal form of the entity that represents the United States:
InputForm[ InputForm["USA"]]
 
Show the internal form for New York City:
InputForm[ InputForm["nyc"]]
 
There are millions of entities in the Wolfram Language, each with a definite internal form. In principle you could enter any entity using its internal form. But unless you’re using the same entity over and over again, it’s much more practical just to use ctrl+= and enter a name for the entity in plain English.
EntityProperties["AmusementPark"]
 
In practice, though, a good approach is to ask in plain English for a property of some entity, then to look at the interpretation that’s found, and reuse the property from it.
Ask for the height of the Eiffel Tower:
InputForm["height of the eiffel tower"]
Entity["Building", "EiffelTower::5h9w8"][ EntityProperty["Building", "Height"]]
 
Reuse the "Height" property, applied to the Great Pyramid:
Entity["Building", "GreatPyramidOfGiza::jbm66"]["Height"]
 
Different types of entities have different properties. One common property for many types of entities is "Image".
Get images of various entities:
Entity["Species", "Species:PhascolarctosCinereus"]["Image"]
 
Entity["Building", "EiffelTower::5h9w8"]["Image"]
 
Entity["Artwork", "TheStarryNight::VincentVanGogh"]["Image"]
 
Entity["Person", "StephenWolfram::j276d"]["Image"]
 
Other types of objects have other properties.
A plot of a caffeine molecule:
Entity["Chemical", "Caffeine"]["MoleculePlot"]
 
Rotatable 3D graphics of a skull:
Entity["AnatomicalStructure", "Skull"]["Graphics3D"]
 
Entity["Polyhedron", "RhombicHexecontahedron"]["NetImage"]
 
You can use RandomEntity to find random entities of a given type.
5 random musical instruments:
RandomEntity["MusicalInstrument", 5]
 
Poster images for 5 random movies:
EntityValue[RandomEntity["Movie", 5],"Image"]
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There’s a Missing in the list to indicate that a poster for one of the movies that was randomly picked wasn’t available in the Wolfram Knowledgebase. You can use DeleteMissing to get rid of Missing[...] elements in a list.
16.1Find the flag of Switzerland. »
Expected output:
Out[]=
16.2Get an image of an elephant. »
Sample expected output:
Out[]=
16.3Use the "Mass" property to generate a list of the masses of the planets. »
Expected output:
Out[]=
16.4Make a bar chart of the masses of the planets. »
Expected output:
Out[]=
16.5Make an image collage of images of the planets. »
Expected output:
Out[]=
16.6Edge detect the flag of China. »
Expected output:
Out[]=
16.7Find the height of the Empire State Building. »
Expected output:
Out[]=
16.8Compute the height of the Empire State Building divided by the height of the Great Pyramid. »
Expected output:
Out[]=
16.9Compute the elevation of Mount Everest divided by the height of the Empire State Building. »
Expected output:
Out[]=
16.10Find the dominant colors in the painting The Starry Night»
Expected output:
Out[]=
16.11Find the dominant colors in an image collage of the flag images of all countries in Europe. »
Expected output:
Out[]=
16.12Make a pie chart of the GDP of countries in Europe. »
Sample expected output:
Out[]=
16.13Add an image of a koala to an image of the Australian flag. »
Sample expected output:
Out[]=
+16.1Make an image collage of the flags of all countries in Europe, using the "FlagImage" property. »
Sample expected output:
Out[]=
+16.2Edge detect an image of the painting The Starry Night»
Expected output:
Out[]=
+16.3Color negate the Mona Lisa painting. »
Expected output:
Out[]=
Where does the Wolfram Language get its real-world data?
It’s all from the central Wolfram Knowledgebase. We’ve been building this knowledgebase for many years, carefully curating data from thousands of primary sources.
Is the data in the Wolfram Language regularly updated?
Yes. We put a lot of effort into keeping it all up to date. And in fact there’s new data flowing in every secondabout market prices, weather, earthquakes, aircraft positions and lots more.
How accurate is the data in the Wolfram Language?
We go to a lot of trouble to make it as accurate as possible, and we check it extensively. But ultimately we often have to rely on what governments and other outside organizations report.
What is the relation to Wolfram|Alpha?
Wolfram|Alpha uses the same knowledgebase as the Wolfram Language.
How should I ask for a particular entity?
However you want to. The Wolfram Language is set up to understand all common ways to refer to entities. (“New York City”, “NYC”, “the big apple”, etc., all work.)
How should I cite data that I get from the Wolfram Language?
Wolfram Knowledgebase (2023) (or whatever year you retrieve it). You can also link to the documentation for the entity type you’re using, such as https://reference.wolfram.com/language/ref/entity/Country.html.
How can I find all properties and values for a given entity?
Most often it’s because the value needed simply isn’t available from any source that’s been curated for the Wolfram Knowledgebase. Sometimes it’s because the value doesn’t apply, like the boiling point of a chemical that decomposes but never boils.
Can I set up my own entities, and put in my own data about them?
Yes, using EntityStore.
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