exercise 3 solved

Exercises/day-1/class-Exercise.js

@@ -1,27 +1,27 @@
 // Exercises Level 1
 // Create an Animal class. The class will have name, age, color, legs properties and create different methods
-class animal{
+// class animal{
-    constructor (name, age, color, legs){
+//     constructor (name, age, color, legs){
-        this.name = name
+//         this.name = name
-        this.age = age
+//         this.age = age
-        this.color = color
+//         this.color = color
-        this.legs = legs
+//         this.legs = legs
-    }
+//     }
-}
+// }
 
 // Create a Dog and Cat child class from the Animal Class.
-class dog extends {
+// class dog extends {
-    constructor (name, age, color, legs){
+//     constructor (name, age, color, legs){
-        super(name, age, color, legs)
+//         super(name, age, color, legs)
-        this.sound = 'woofff'
+//         this.sound = 'woofff'
-    }
+//     }
-},
+// },
-class cat extends {
+// class cat extends {
-    constructor (name, age, color, legs){
+//     constructor (name, age, color, legs){
-        super(name, age, color, legs)
+//         super(name, age, color, legs)
-        this.sound = 'meow'
+//         this.sound = 'meow'
-    }
+//     }
-}
+// }
 
 // Exercises Level 2
 // Override the method you create in Animal class
@@ -33,34 +33,111 @@ class cat extends {
 // and measure of variability(range, variance, standard deviation). In addition to those measures find the min, max, count, percentile,
 // and frequency distribution of the sample. You can create a class called Statistics and create all the functions which do statistical 
 // calculations as method for the Statistics class. Check the output below.
+// class Statistics {
+//     constructor(data) {
+//         this.data = data;
+//     }
 
+//     // Mean: The average of all numbers
+//     mean() {
+//         return this.data.reduce((acc, cur) => acc + cur) / this.data.length;
+//     }
 
-// ages = [31, 26, 34, 37, 27, 26, 32, 32, 26, 27, 27, 24, 32, 33, 27, 25, 26, 38, 37, 31, 34, 24, 33, 29, 26]
+//     // Median: The middle value when the numbers are sorted
-
+//     median() {
-// console.log('Count:', statistics.count()) // 25
+//         const sorted = [...this.data].sort((a, b) => a - b);
-// console.log('Sum: ', statistics.sum()) // 744
+//         const middle = Math.floor(sorted.length / 2);
-// console.log('Min: ', statistics.min()) // 24
+//         if (sorted.length % 2 === 0) {
-// console.log('Max: ', statistics.max()) // 38
+//             return (sorted[middle - 1] + sorted[middle]) / 2;
-// console.log('Range: ', statistics.range() // 14
+//         } else {
-// console.log('Mean: ', statistics.mean()) // 30
+//             return sorted[middle];
-// console.log('Median: ',statistics.median()) // 29
+//         }
-// console.log('Mode: ', statistics.mode()) // {'mode': 26, 'count': 5}
+//     }
-// console.log('Variance: ',statistics.var()) // 17.5
+
-// console.log('Standard Deviation: ', statistics.std()) // 4.2
+//     // Mode: The value that appears most frequently
-// console.log('Variance: ',statistics.var()) // 17.5
+//     mode() {
-// console.log('Frequency Distribution: ',statistics.freqDist()) // [(20.0, 26), (16.0, 27), (12.0, 32), (8.0, 37), (8.0, 34), (8.0, 33), (8.0, 31), (8.0, 24), (4.0, 38), (4.0, 29), (4.0, 25)]
+//         const frequency = {};
-
+//         let maxFreq = 0;
-// console.log(statistics.describe())
+//         let modes = [];
-// // you output should look like this
+        
-
+//         this.data.forEach((value) => {
-// Count: 25
+//             frequency[value] = (frequency[value] || 0) + 1;
-// Sum:  744
+//             if (frequency[value] > maxFreq) {
-// Min:  24
+//                 maxFreq = frequency[value];
-// Max:  38
+//             }
-// Range:  14
+//         });
-// Mean:  30
+
-// Median:  29
+//         for (const key in frequency) {
-// Mode:  (26, 5)
+//             if (frequency[key] === maxFreq) {
-// Variance:  17.5
+//                 modes.push(Number(key));
-// Standard Deviation:  4.2
+//             }
-// Frequency Distribution: [(20.0, 26), (16.0, 27), (12.0, 32), (8.0, 37), (8.0, 34), (8.0, 33), (8.0, 31), (8.0, 24), (4.0, 38), (4.0, 29), (4.0, 25)]
+//         }
+//         return modes;
+//     }
+
+//     // Range: The difference between the max and min value
+//     range() {
+//         return Math.max(...this.data) - Math.min(...this.data);
+//     }
+
+//     // Variance: The average of the squared differences from the mean
+//     variance() {
+//         const meanValue = this.mean();
+//         const squaredDiffs = this.data.map((value) => Math.pow(value - meanValue, 2));
+//         return squaredDiffs.reduce((acc, cur) => acc + cur) / this.data.length;
+//     }
+
+//     // Standard Deviation: The square root of variance
+//     standardDeviation() {
+//         return Math.sqrt(this.variance());
+//     }
+
+//     // Min: The smallest number in the data
+//     min() {
+//         return Math.min(...this.data);
+//     }
+
+//     // Max: The largest number in the data
+//     max() {
+//         return Math.max(...this.data);
+//     }
+
+//     // Count: The number of values in the data
+//     count() {
+//         return this.data.length;
+//     }
+
+//     // Percentile: Returns the value below which a given percentage of data falls
+//     percentile(percent) {
+//         const sorted = [...this.data].sort((a, b) => a - b);
+//         const index = Math.floor(percent / 100 * sorted.length);
+//         return sorted[index];
+//     }
+
+//     // Frequency Distribution: Shows how frequently each value occurs
+//     frequencyDistribution() {
+//         const frequency = {};
+//         this.data.forEach((value) => {
+//             frequency[value] = (frequency[value] || 0) + 1;
+//         });
+//         return frequency;
+//     }
+// }
+
+
+// Test the class
+const ages = [31, 26, 34, 37, 27, 26, 32, 32, 26, 27, 27, 24, 32, 33, 27, 25, 26, 38, 37, 31, 34, 24, 33, 29, 26];
+
+const stats = new Statistics(ages);
+
+console.log("Mean:", stats.mean());                   // Mean
+console.log("Median:", stats.median());               // Median
+console.log("Mode:", stats.mode());                   // Mode
+console.log("Range:", stats.range());                 // Range
+console.log("Variance:", stats.variance());           // Variance
+console.log("Standard Deviation:", stats.standardDeviation()); // Standard Deviation
+console.log("Min:", stats.min());                     // Min
+console.log("Max:", stats.max());                     // Max
+console.log("Count:", stats.count());                 // Count
+console.log("50th Percentile:", stats.percentile(50)); // 50th Percentile (Median)
+console.log("Frequency Distribution:", stats.frequencyDistribution()); // Frequency Distribution