how do i convert rows into columns using LINQ [Resolved]

using System;
using System.Collections.Generic;

namespace ConsoleApplication3
{
    class Program
    {

        static void Main(string[] args)
        {
            //unpivot records
            var unpivotRecords = new
            {
                Product1 = Unpivot(0)
               ,
                Product2 = Unpivot(1)
                ,
                Product3 = Unpivot(2)
                ,
                Product4 = Unpivot(3)
            };

            //pivot records
            var pivotRecords = Pivot(unpivotRecords);

            //display the records
            pivotRecords.ForEach
           (
                i =>

                    Console.WriteLine("YKey = {0}  Year = {1} Product1 = {2} Product2 = {3} Product3 = {4} Product4 = {5}", 
                                      i.YKey, i.Year, i.Product1, i.Product2, i.Product3, i.Product4)
            );

            Console.ReadKey();
        }


        #region Methods

        //Source Records
        private static List<InputData> GetSourceRecords()
        {
            List<InputData> source = new List<InputData>();
            source.Add(new InputData() { ProductName = "Product1", Year1 = 1, Year2 = 2, Year3 = 3, Year4 = 4, Year5 = 5, Year6 = 6, Year7 = 7, Year8 = 8, Year9 = 9, Year10 = 10 });
            source.Add(new InputData() { ProductName = "Product2", Year1 = 2, Year2 = 3, Year3 = 4, Year4 = 5, Year5 = 6, Year6 = 7, Year7 = 8, Year8 = 9, Year9 = 10, Year10 = 11 });
            source.Add(new InputData() { ProductName = "Product3", Year1 = 3, Year2 = 4, Year3 = 5, Year4 = 6, Year5 = 7, Year6 = 8, Year7 = 9, Year8 = 10, Year9 = 11, Year10 = 12 });
            source.Add(new InputData() { ProductName = "Product4", Year1 = 4, Year2 = 5, Year3 = 6, Year4 = 7, Year5 = 8, Year6 = 9, Year7 = 10, Year8 = 11, Year9 = 12, Year10 = 13 });
            return source;
        }

        //Unpivot records
        private static Dictionary<string, List<int>> Unpivot(int row)
        {            
            var source = GetSourceRecords();
            List<int> yearwiseProductValues = new List<int>();
            var multiKeyDictionary = new Dictionary<string, List<int>>();           
           
            yearwiseProductValues.Add(source[row].Year1);
            yearwiseProductValues.Add(source[row].Year2);
            yearwiseProductValues.Add(source[row].Year3);
            yearwiseProductValues.Add(source[row].Year4);
            yearwiseProductValues.Add(source[row].Year5);
            yearwiseProductValues.Add(source[row].Year6);
            yearwiseProductValues.Add(source[row].Year7);
            yearwiseProductValues.Add(source[row].Year8);
            yearwiseProductValues.Add(source[row].Year9);
            yearwiseProductValues.Add(source[row].Year10);
           

            multiKeyDictionary.Add(source[row].ProductName, yearwiseProductValues);
            return multiKeyDictionary;
        }

        //Pivot records
        private static List<OutputData> Pivot(dynamic unpivotRecords)
        {
            int count = 10;
            int startYear = 2016;
            var pivotRecords = new List<OutputData>();

            for (int i = 0; i < count; i++)
            {
                pivotRecords.Add(new OutputData
                {
                    YKey = "Y" + (i + 1)
                     ,
                    Year = startYear + i
                     ,
                    Product1 = unpivotRecords.Product1["Product1"][i]
                     ,
                    Product2 = unpivotRecords.Product2["Product2"][i]
                     ,
                    Product3 = unpivotRecords.Product3["Product3"][i]
                     ,
                    Product4 = unpivotRecords.Product4["Product4"][i]
                });
            }
            return pivotRecords;
        }

        #endregion
    }


    #region Data Structures
    internal class OutputData
    {
        public string YKey { get; internal set; }
        public int Year { get; internal set; }
        public int Product1 { get; internal set; }
        public int Product2 { get; internal set; }
        public int Product3 { get; internal set; }
        public int Product4 { get; internal set; }

    }

    internal class InputData
    {
        public string ProductName { get; internal set; }
        public int Year1 { get; internal set; }        
        public int Year2 { get; internal set; }
        public int Year3 { get; internal set; }
        public int Year4 { get; internal set; }
        public int Year5 { get; internal set; }
        public int Year6 { get; internal set; }
        public int Year7 { get; internal set; }
        public int Year8 { get; internal set; }
        public int Year9 { get; internal set; }
        public int Year10 { get; internal set; }
    }

    #endregion
}

YKey = Y1  Year = 2016 Product1 = 1 Product2 = 2 Product3 = 3 Product4 = 4
YKey = Y2  Year = 2017 Product1 = 2 Product2 = 3 Product3 = 4 Product4 = 5
YKey = Y3  Year = 2018 Product1 = 3 Product2 = 4 Product3 = 5 Product4 = 6
YKey = Y4  Year = 2019 Product1 = 4 Product2 = 5 Product3 = 6 Product4 = 7
YKey = Y5  Year = 2020 Product1 = 5 Product2 = 6 Product3 = 7 Product4 = 8
YKey = Y6  Year = 2021 Product1 = 6 Product2 = 7 Product3 = 8 Product4 = 9
YKey = Y7  Year = 2022 Product1 = 7 Product2 = 8 Product3 = 9 Product4 = 10
YKey = Y8  Year = 2023 Product1 = 8 Product2 = 9 Product3 = 10 Product4 = 11
YKey = Y9  Year = 2024 Product1 = 9 Product2 = 10 Product3 = 11 Product4 = 12
YKey = Y10  Year = 2025 Product1 = 10 Product2 = 11 Product3 = 12 Product4 = 13

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Thanks & Regards,
RNA Team