IN JAVASCRIPT:

/* Below is an array of objects representing Husky Football games from the 2016

season. Each object has the same properties, so it represents a data table. */

let huskyGames2016 = [

{ "date":"9/3/16", "home":"UW", "opponent":"Rutgers", "home_score":48,

"opponent_score":13, "passing_yards":289, "rushing_yards":91, "fumbles":0 },

{ "date":"9/10/16", "home":"UW", "opponent":"Idaho", "home_score":59,

"opponent_score":14, "passing_yards":356, "rushing_yards":126, "fumbles":1 },

{ "date":"9/17/16", "home":"UW", "opponent":"Portland State", "home_score":41,

"opponent_score":3, "passing_yards":194, "rushing_yards":213, "fumbles":1 },

{ "date":"9/24/16", "home":"Arizona", "opponent":"UW", "home_score":28,

"opponent_score":35, "passing_yards":160, "rushing_yards":352, "fumbles":0 },

{ "date":"9/30/16", "home":"UW", "opponent":"Stanford", "home_score":44,

"opponent_score":6, "passing_yards":210, "rushing_yards":214, "fumbles":0 },

{ "date":"10/8/16", "home":"Oregon", "opponent":"UW", "home_score":21,

"opponent_score":70, "passing_yards":304, "rushing_yards":378, "fumbles":0 },

{ "date":"10/22/16", "home":"UW", "opponent":"Oregon State", "home_score":41,

"opponent_score":17, "passing_yards":300, "rushing_yards":219, "fumbles":2 },

{ "date":"10/29/16", "home":"Utah", "opponent":"UW", "home_score":24,

"opponent_score":31, "passing_yards":186, "rushing_yards":199, "fumbles":1 },

{ "date":"11/5/16", "home":"Cal", "opponent":"UW", "home_score":27, "opponent_score":66,

"passing_yards":417, "rushing_yards":287, "fumbles":2 },

{ "date":"11/12/16", "home":"UW", "opponent":"USC", "home_score":13, "opponent_score":26,

"passing_yards":259, "rushing_yards":17, "fumbles":0 },

{ "date":"11/19/16", "home":"UW", "opponent":"Arizona State", "home_score":44,

"opponent_score":18, "passing_yards":338, "rushing_yards":201, "fumbles":0 },

{ "date":"11/25/16", "home":"Washington State", "opponent":"UW", "home_score":17,

"opponent_score":45, "passing_yards":342, "rushing_yards":168, "fumbles":1 },

{ "date":"12/2/16", "home":"Colorado", "opponent":"UW", "home_score":10,

"opponent_score":41, "passing_yards":118, "rushing_yards":25, "fumbles":0 },

{ "date":"12/31/16", "home":"UW", "opponent":"Alabama", "home_score":7,

"opponent_score":24, "passing_yards":150, "rushing_yards":44, "fumbles":1 }

];

//Define a function `extractOpponent()` that takes in a "game" object and returns

//UW's opponent (whether or not that was the home team!)

//You can test this by passing in an individual element from the array.

//Use the `map()` method and your `extractOpponent()` function to create an array

//of UW's opponents for the season (in the same order as in the `huskyGames2016`).

//The opponents in the list do not need to be unique.

//Log out the opponents array.

//Define a function `huskiesLost()` that takes in a "game" object and returns

//whether or not UW lost.

//Use the `filter()` method to create an array of games that UW lost (a smaller

//array than the games they won!)

//Log out the array of lost games.

//Log out an array of opponents that UW lost to. Hint: Use the `.map()` method

//to extract the opponent names!

//Use a `forEach()` loop to log out each of the games UW lost, each on its own

//line, in the following format:

// "Rutgers at UW, 13 to 48"

//You should use an anonymous callback function.

//Use the `filter()` method with an anonymous callback function to get an array

//of games where UW had at least one fumble.

//Log out HOW MANY games included fumbles.

//Define a function `mostYardsPassing()` that takes in two "game" objects and

//returns the game that has a greater number of passing yards.

//Your function should handle the case where the _first_ game has no

//`passing_yards` property, in which case it should return the second game.

//Create a variable `mostPassingGame` that refers to the "game" that had the most

//passing yards in the season. Use the `reduce()` method with `mostYardsPassing()`

//as the callback.

// - You will need your `reduce()` method to start with an empty object `{}`,

// since initially no game has the most passing yards!

// - Consider: why do this with `reduce()` instead of `filter()`?

//

//Log out the game with the most passing yards.

//It would be useful to be able to apply multiple "filter criteria" to an array

//of games at once.

//To support this, define a function `makeCombinedFilter()` that takes two

//*callback functions* as arguments. The `makeCombinedFilter()` function should

//then define a _new_ function (called e.g., `combinedFilter`) that takes in a

//game object and returns the result of passing that object to both of the

//callback functions and "anding" (&&) the results. The `makeCombinedFilter()`

//function should then return this new function.

//Create a variable `fumbledAndLostFilter` which is the result of calling the

//`makeCombinedFilter()` function and passing two callback functions:

//one for filtering for games UW lost (e.g., the `huskiesLost()` function), and

//one for filtering for games with fumbles (this can be a named or an anonymous

//callback like you used earlier).

//Note that `fumbledAndLostFilter` _is_ a function!

//Create an array of games that UW lost with fumbles. Use the

//`fumbledAndLostFilter()` function as a callback to the `filter()` method.

//Log out the array of games lost with fumbles.