Inside JavaScript: Understanding Type Coercion

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Type Coercion: The Sensible Bits Up Type Coercion: The Unusual Bits

Type Coercion: The Mostly Sensible Bits

A Value’s “Truthiness” or “Falsiness”

Let’s take this snippet of JavaScript code and see what it gives us:

// Create an object whose properties hold a value of each data type
var datatypes = {
  "true"        : true
, "false"       : false
, "zero"        : 0
, "one"         : 1
, "null"        : null
, "undefined"   : undefined
, "NaN"         : NaN
, "emptyString" : ""
, "function"    : function() {}
, "emptyObject" : {}
, "emptyArray"  : []

// Loop around each property in the object coercing its value to Boolean,
// then writing it to the console
for (var i in datatypes) {
  console.log(`datatypes["${i}"] = ${!!datatypes[i]}`);

The double NOT !! is a trick that coerces a value to its Boolean equivalent.

datatypes["true"] = true            // As expected
datatypes["false"] = false          // Again, as expected
datatypes["zero"] = false           // Yup, I know about this one
datatypes["one"] = true             // And this one
datatypes["null"] = false           // Yeah, that makes sense
datatypes["undefined"] = false      // Makes sense too
datatypes["NaN"] = false            // Ok, I'll go with that
datatypes["emptyString"] = false    // Thinking about it, that maskes sense too
datatypes["function"] = true        // Uh, ok (but why?)
datatypes["emptyObject"] = true     // Seriously!?
datatypes["emptyArray"] = true      // Now that's just silly!

Any value that coerces to true is said to be truthy
Any value that coerces to false is said to be falsey

So, not surprisingly, values like 0, null and undefined all coerce to false and are therefore said to be falsey. In fact, with a little explanation, most of these type coercions give the result you might expect. The general principle here is that any value that can be thought of as being “empty” will coerce to false, and any value that can be thought of as “containing something” will coerce to true.

Q:    Ok, so why would function coerce to true?
A:    Because a function is a special type of executable object, so even if the function does nothing (as in our example above), it is never truly empty.

Perhaps less intuitively, even though they might be empty in the sense of “having zero properties”, all JavaScript Objects are truthy.

The real screwball here is the Array. JavaScript treats an Array simply as an Object; so even though that Array might contain zero elements, as far as Boolean coercion is concerned, it is treated as an object, and all objects are truthy — but more of this later…

The Slightly Silly typeof operator

Most of the time, the JavaScript typeof operator gives you back a reasonably useful description of a variable’s datatype. For example:

// Declare some variables to have various data types
var aNumber    = 123
var aString    = "Nothing to see here, move along"
var anObject   = { aProperty : 0 }
var aFunction  = function() { }

// What does JavaScript think these data types are?
typeof aNumber       // 'number'
typeof aString       // 'string'
typeof anObject      // 'object'
typeof aFunction     // 'function'

Ok, fair enough, no surprises here.

But what about these?

// Declare some more variables
var notANumber = NaN
var anArray    = [1,2,3,4,5]
var nullValue  = null

// What does JavaScript think the data types are?
typeof notANumber    // 'number'   Say what?
typeof anArray       // 'object'   Well, I guess...
typeof nullValue     // 'object'   But that's just wrong!

Having typeof return number for something that is explicitly not a number isn’t quite as weird as you might think; but you’ll have to read the ECMAScript specification to discover why—specifically sections 4.3.24 and 7.1.3.

While it’s annoying to get object back when asking what the typeof an Array is; this is in fact an accurate, albeit quite unhelpful answer.

However, telling me that null is an object is totally misleading!

A Sensible Version of the typeof Operator

Many widely used libraries provide their own functionality to replace JavaScript’s built-in typeof operator. For instance, jQuery provides the type function that gives back accurate answers:

var anArray   = [1,2,3,4,5]
var nullValue = null

// jQuery provides a robust fix for JavaScript's only-sometimes-helpful typeof operator
jQuery.type(anArray)        // 'array'
jQuery.type(nullValue)      // 'null'

// Or the nice predicate function
jQuery.isArray(anArray)     // true

However, if you’re not using any such library, it’s easy enough to create your own version of typeof that will always give you an accurate answer:

const typeOf = x => Object.prototype.toString.apply(x).slice(8).slice(0, -1)


The above code works as follows:

const typeOf = x => ...

We declare a constant called typeOf that, using the arrow syntax, is of type function. This function takes a single argument x that represents the thing whose datatype we wish to discover.

const typeOf = x => Object.prototype.toString()...

As with all JavaScript obects, the universal object Object inherits its properties from a prototype that contains (among other things) a function called toString.

The toString function returns the string representation of whatever object it belongs to; however, if we directly called Object.prototype.toString(), it would return the string representation of Object.prototype—which is not what we want. So we call the apply function belonging to function toString and supply the argument x received by our typeOf function. This is how we can effectively call x.toString() without needing to know exactly what x is.

const typeOf = x => Object.prototype.toString().apply(x)...

We now have the full string representation of the object in question.

However, this string contains extra characters we’re not interested in, so the last thing to do is chop off the first 8 characters using slice(8), then chop off the last character using slice(0,-1).

On its own, this function will return a character string containing the actual datatype of whatever value it is passed. In fact, running this function without passing any argument returns the accurate value Undefined.

This function can then easily be used as the foundation to create simple predicate functions:

// Return the actual datatype of the argument
const typeOf = x => Object.prototype.toString.apply(x).slice(8).slice(0, -1)

// Partial function that creates a function to check for a specific data type
const isOfType = t => x => typeOf(x) === t

// Primitive type identifiers
const isNull      = isOfType("Null")
const isUndefined = isOfType("Undefined")
const isNumber    = isOfType("Number")
const isBigInt    = isOfType("BigInt")
const isSymbol    = isOfType("Symbol")
const isArray     = isOfType("Array")
const isMap       = isOfType("Map")
const isSet       = isOfType("Set")
const isString    = isOfType("String")
const isFn        = isOfType("Function")
const isGenFn     = isOfType("GeneratorFunction")
const isJsObject  = isOfType("Object")

If you’re running JavaScript in NodeJS, there are two special system objects that return their name rather than their type when you use this typeOf function: process and global. Hence it is worthwhile creating two more predicate functions:

// The NodeJS objects 'global' and 'process' return their own names when asked their type
// even though they are just regular objects
const isNodeJsProcess = isOfType("process")
const isNodeJsGlobal  = isOfType("global")