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4 changes: 3 additions & 1 deletion README.md
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,9 @@ Rubric:
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// Given 1000 digits of PI as strings, return an array of the digits as numbers
const stringsToNumbs = (numbers) => {}
const stringsToNumbs = (numbers) => {

}

// With the same numbers, find the sum of the even values
const sumEvens;
Expand Down
125 changes: 125 additions & 0 deletions sorting.js
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@@ -0,0 +1,125 @@
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// Given 1000 digits of PI as strings, return an array of the digits as numbers
const stringsToNumbs = (numbers) => {
let newStrNums = [];
numbers.forEach(number =>{
let newNumber = parseInt(number, 10); //= 1
newStrNums.push(newNumber)
console.log(newNumber);

})
return newStrNums;


}
let newArray = stringsToNumbs(strNums);
// With the same numbers, find the sum of the even values
const sumEvens = () => {
let sum = 0;
for(let i = 0; i< newArray.length; i++){
sum+= newArray[i];
console.log(sum);
}
}
sumEvens();


// // // Find the index of the first value when added to it's index = 512 (#ATX!!)
// const atxIdx = (nums) => {
// let found = nums.find((element, index) => {
// element+index == 512;

// })
// console.log(found);
// //console.log(`index: ${atxIdx}, value: ${nums[atxIdx]}`);
// }
// atxIdx(newArray);


const weather = [
{ id: 5743823523151872,
weather_state_name: "Light Cloud",
weather_state_abbr: "lc",
wind_direction_compass: "NNE",
created: "2018-07-11T20:53:03.251710Z",
applicable_date: "2018-07-11",
min_temp: 14.43,
max_temp: 23.36,
the_temp: 22.785,
wind_speed: 5.682503989556987,
wind_direction: 21.6264939172659,
air_pressure: 1024.45,
humidity: 58,
visibility: 8.683041040324504,
predictability: 70
},
{ id: 6188149969518592,
weather_state_name: "Heavy Cloud",
weather_state_abbr: "hc",
wind_direction_compass: "NE",
created: "2018-07-11T20:53:03.268190Z",
applicable_date: "2018-07-12",
min_temp: 14.81,
max_temp: 25.52,
the_temp: 24.61,
wind_speed: 3.2461141472739206,
wind_direction: 42.72552812997726,
air_pressure: 1024.605,
humidity: 54,
visibility: 10.633835898353615,
predictability: 71
},
{ id: 5742049676492800,
weather_state_name: "Showers",
weather_state_abbr: "s",
wind_direction_compass: "E",
created: "2018-07-11T20:53:03.947390Z",
applicable_date: "2018-07-13",
min_temp: 15.5525,
max_temp: 25.3475,
the_temp: 24.175,
wind_speed: 3.6572546846814604,
wind_direction: 90.32910675612557,
air_pressure: 1025.385,
humidity: 57,
visibility: 10.181166984808717,
predictability: 73
},
{ id: 6696130918219776,
weather_state_name: "Heavy Cloud",
weather_state_abbr: "hc",
wind_direction_compass: "SSW",
created: "2018-07-11T20:53:04.068570Z",
applicable_date: "2018-07-14",
min_temp: 15.915,
max_temp: 27.0925,
the_temp: 26.585,
wind_speed: 3.649847972759087,
wind_direction: 200.04283406736377,
air_pressure: 1024.4450000000002,
humidity: 52,
visibility: 11.14056410562316,
predictability: 71
},
];

//using a higher order function, create an array of the unique 'weather_state_name' values of the weather array. Your function should return the following array ['Light Cloud', 'Heavy Cloud', 'Showers']
const weatherStates = function(){
let map1 = weather.map(x => x.weather_state_name)
console.log(map1)
}


weatherStates();


//find the id of the object in weather that has a min_temp of 15.915

const idealTemp = function(){
let map2 = weather.find(y => y.min_temp = 15.915)
console.log(map2)
}
idealTemp();