SemanticEvolutionRecruitment.cs

using System;
using System.IO;
using System.Collections.Generic;

namespace SemanticEvolution {

    public class Program {

        private static List<double> GetValuesFromCsv(string filePath, char delimiter=',') {
            List<double> values = new List<double>();
            using(FileStream file = File.OpenRead(filePath))
            using(StreamReader reader = new StreamReader(file)) {
                string[] valueStrs = reader.ReadLine().Split(delimiter);
                foreach (string valueStr in valueStrs) {
                    values.Add(Double.Parse(valueStr));
                }
            }
            return values;
        }

        public static void Main(string[] args) {
            List<double> values = GetValuesFromCsv(@"SampleData.csv");
            int BIN_SIZE = 10;

            int n = 0;
            double mean = 0;
            double S = 0;
            SortedDictionary<int, int> histogram = new SortedDictionary<int, int>();
            foreach (double value in values) {
                n++;
                double delta = value - mean;
                mean += delta / n;
                double delta2 = value - mean;
                S += delta * delta2;

                int bin = (int) Math.Floor(value / BIN_SIZE);
                if (histogram.ContainsKey(bin)) {
                    histogram[bin] += 1;
                } else {
                    histogram[bin] = 1;
                }
            }
            double sd = Math.Sqrt(S / n);

            Console.WriteLine("The arithmetic mean is: " + mean);
            Console.WriteLine("The standard deviation is: " + sd);
            foreach (KeyValuePair<int, int> pair in histogram) {
                int binMin = pair.Key * BIN_SIZE;
                int binMax = (pair.Key + 1) * BIN_SIZE;
                int frequency = pair.Value;
                Console.WriteLine("The frequency of values in bin {0} - {1} is: {2}",
                    binMin, binMax, frequency);
            }
        }
    }
}