Removing Primary Key and Joining Rows in Datatable

Removing Primary Key and Joining Rows in Datatable - c#

I'm trying to sort a DataTable to be able to get the best selling items by order in C#. The DataTable's fields are orderId, productId, size, and amount (amount = how much of it was bought). The current primary key in the table is comprised of orderId, productId, and size. I would like to get the best selling items by sorting the table in a way that would remove orderId, and have productId and size as the new primary key, and amount as the sum of all amount's for orders with this productId and size.
What would be the best way to do this? I'm attaching my current table data for reference. My table data for reference.
If anything is unclear please let me know, this is my first time using Stack Overflow.

Try following :
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
namespace ConsoleApplication20
{
class Program
{
static void Main(string[] args)
{
DataTable dt = new DataTable();
dt.Columns.Add("orderid", typeof(int));
dt.Columns.Add("productid", typeof(int));
dt.Columns.Add("size", typeof(int));
dt.Columns.Add("amount", typeof(int));
dt.Rows.Add(new object[] { 1, 1, 38, 12 });
dt.Rows.Add(new object[] { 1, 1, 41, 6 });
dt.Rows.Add(new object[] { 1, 2, 36, 8 });
dt.Rows.Add(new object[] { 1, 2, 38, 5 });
dt.Rows.Add(new object[] { 1, 3, 46, 2 });
dt.Rows.Add(new object[] { 4, 3, 40, 7 });
dt.Rows.Add(new object[] { 8, 3, 40, 7 });
dt.Rows.Add(new object[] { 9, 2, 40, 9 });
dt.Rows.Add(new object[] { 12, 2, 37, 5 });
dt.Rows.Add(new object[] { 13, 2, 37, 4 });
dt.Rows.Add(new object[] { 14, 2, 38, 3 });
dt.Rows.Add(new object[] { 15, 3, 41, 4 });
dt.Rows.Add(new object[] { 16, 2, 36, 7 });
dt.Rows.Add(new object[] { 16, 3, 41, 5 });
dt.Rows.Add(new object[] { 17, 2, 38, 4 });
dt.Rows.Add(new object[] { 18, 3, 40, 3 });
dt.Rows.Add(new object[] { 19, 5, 38, 9 });
dt.Rows.Add(new object[] { 20, 2, 36, 2 });
dt.Rows.Add(new object[] { 21, 1, 40, 3 });
dt.Rows.Add(new object[] { 22, 1, 38, 8 });
dt.Rows.Add(new object[] { 23, 1, 40, 9 });
dt.Rows.Add(new object[] { 24, 2, 37, 1 });
dt.Rows.Add(new object[] { 25, 5, 39, 4 });
dt.Rows.Add(new object[] { 2034, 3, 40, 3 });
dt.Rows.Add(new object[] { 2035, 2, 37, 6 });
dt.Rows.Add(new object[] { 2035, 3, 40, 5 });
dt.Rows.Add(new object[] { 2036, 2, 36, 2 });
dt.Rows.Add(new object[] { 2037, 2, 37, 3 });
dt.Rows.Add(new object[] { 2037, 3, 41, 7 });
dt.Rows.Add(new object[] { 2038, 1, 39, 3 });
dt.Rows.Add(new object[] { 2038, 5, 37, 4 });
var results = dt.AsEnumerable()
.GroupBy(x => new { productid = x.Field<int>("productid"), size = x.Field<int>("size") })
.Select(x => new { productid = x.Key.productid, size = x.Key.size, count = x.Count(), total = x.Sum(y => y.Field<int>("amount")) })
.OrderByDescending(x => x.count)
.ToList();
}
}
}

Related

LINQ Group inside a group

I have a datatable like this:
date
Type
Agency
TotalCount
ABC_Count
DEF_Count
GHI_Count
JAN-2022
X
B2X
5
5
2
3
JAN-2022
X
C4A
7
5
7
2
FEB-2022
X
B2X
3
2
3
1
FEB-2022
X
C4A
9
1
9
4
MAR-2022
X
B2X
8
3
1
8
MAR-2022
X
C4A
7
1
1
7
JAN-2022
Y
D5Y
6
6
4
3
JAN-2022
Y
E7T
7
3
7
2
FEB-2022
Y
D5Y
4
2
4
1
FEB-2022
Y
E7T
9
2
9
4
MAR-2022
Y
D5Y
8
3
1
8
MAR-2022
Y
E7T
8
1
1
8
Code:
public class GroupModel {
public string LetterGroupName { get; set; }
public List<LetterGroupData> LetterGroupData { get; set; }
}
public class LetterGroupData {
public string Date { get; set; }
public double TypeX_Ave { get; set; }
public double TypeY_Ave { get; set; }
public int Total { get; set; }
}
My desired output would be a list of GroupModel List<GroupModel> and it should be something like this:
"GroupModel" :
[
{
"LetterGroupName" : "ABC",
"LetterGroupData" : [
{
"Date": "JAN-2022",
"TypeX_Ave": 40.0, //Sum ABC_Count for Type X / (Sum of TotalCount for JAN-2022 Type X + Y)
"TypeY_Ave": 36.0,//Sum ABC_Count for Type Y / (Sum of TotalCount for JAN-2022 Type X + Y)
"Total": 25 //sum of TotalCount for JAN-2022 Type X + Y
},
{
"Date": "FEB-2022",
"TypeX_Ave": 12.0, //Sum ABC_Count for Type X / (Sum of TotalCount for FEB-2022 Type X + Y)
"TypeY_Ave": 16.0,//Sum ABC_Count for Type Y / (Sum of TotalCount for FEB-2022 Type X + Y)
"Total": 25 //sum of TotalCount for FEB-2022 Type X + Y
},//..and so on for MAR-2022
]
},
{
"LetterGroupName" : "DEF",
"LetterGroupData" : [
{
"Date": "JAN-2022",
"TypeX_Ave": 36.0, //Sum DEF_Count for Type X / (Sum of TotalCount for JAN-2022 Type X + Y)
"TypeY_Ave": 44.0,//Sum DEF_Count for Type Y / (Sum of TotalCount for JAN-2022 Type X + Y)
"Total": 25 //sum of TotalCount for JAN-2022 Type X + Y
},
{
"Date": "FEB-2022",
"TypeX_Ave": 48.0, //Sum DEF_Count for Type X / (Sum of TotalCount for FEB-2022 Type X + Y)
"TypeY_Ave": 52.0,//Sum DEF_Count for Type Y / (Sum of TotalCount for FEB-2022 Type X + Y)
"Total": 25 //sum of TotalCount for FEB-2022 Type X + Y
},//..and so on for MAR-2022
]
},//...and so on for LetterGroupName GHI
]
How do I achieve this result using only a single LINQ query?

Implementation:
private static IReadOnlyCollection<GroupModel> GetGroups(IReadOnlyCollection<Dictionary<string, object>> input) =>
(
from groupName in new[] { "ABC", "DEF", "GHI" }
select
new GroupModel
{
LetterGroupName = groupName,
LetterGroupData = (
from item in input
group item by (string)item["date"] into itemGroup
let total = itemGroup.Sum(item => (int)item["TotalCount"])
select new LetterGroupData
{
Date = itemGroup.Key,
TypeX_Ave = (double)itemGroup
.Where(item => (string)item["Type"] == "X")
.Sum(item => (int)item[groupName + "_Count"])
/ total * 100,
TypeY_Ave = (double)itemGroup
.Where(item => (string)item["Type"] == "Y")
.Sum(item => (int)item[groupName + "_Count"])
/ total * 100,
Total = total,
}).ToList()
}
).ToList();
Usage:
var input =
new Dictionary<string, object>[]
{
new()
{
["date"] = "JAN-2022",
["Type"] = "X",
["Agency"] = "B2X",
["TotalCount"] = 5,
["ABC_Count"] = 5,
["DEF_Count"] = 2,
["GHI_Count"] = 3,
},
new()
{
["date"] = "JAN-2022",
["Type"] = "X",
["Agency"] = "C4A",
["TotalCount"] = 7,
["ABC_Count"] = 5,
["DEF_Count"] = 7,
["GHI_Count"] = 2,
},
new()
{
["date"] = "JAN-2022",
["Type"] = "Y",
["Agency"] = "B2X",
["TotalCount"] = 6,
["ABC_Count"] = 6,
["DEF_Count"] = 4,
["GHI_Count"] = 3,
},
new()
{
["date"] = "JAN-2022",
["Type"] = "Y",
["Agency"] = "C4A",
["TotalCount"] = 7,
["ABC_Count"] = 3,
["DEF_Count"] = 7,
["GHI_Count"] = 2,
},
// ...
};
var groups = GetGroups(input);
// groups.Dump();
.NET Fiddle

I think this is what you really want getting data from a datatable :
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
namespace ConsoleApplication2
{
class Program
{
static void Main(string[] args)
{
DataTable dt = new DataTable();
dt.Columns.Add("date", typeof(string));
dt.Columns.Add("Type", typeof(string));
dt.Columns.Add("Agency", typeof(string));
dt.Columns.Add("TotalCount", typeof(int));
dt.Columns.Add("ABC_Count", typeof(int));
dt.Columns.Add("DEF_Count", typeof(int));
dt.Columns.Add("GHI_Count", typeof(int));
dt.Rows.Add(new object[] { "JAN - 2022", "X", "B2X", 5, 5, 2, 3 });
dt.Rows.Add(new object[] { "JAN - 2022", "X", "C4A", 7, 5, 7, 2 });
dt.Rows.Add(new object[] { "FEB - 2022", "X", "B2X", 3, 2, 3, 1 });
dt.Rows.Add(new object[] { "FEB - 2022", "X", "C4A", 9, 1, 9, 4 });
dt.Rows.Add(new object[] { "MAR - 2022", "X", "B2X", 8, 3, 1, 8 });
dt.Rows.Add(new object[] { "MAR - 2022", "X", "C4A", 7, 1, 1, 7 });
dt.Rows.Add(new object[] { "JAN - 2022", "Y", "D5Y", 6, 6, 4, 3 });
dt.Rows.Add(new object[] { "JAN - 2022", "Y", "E7T", 7, 3, 7, 2 });
dt.Rows.Add(new object[] { "FEB - 2022", "Y", "D5Y", 4, 2, 4, 1 });
dt.Rows.Add(new object[] { "FEB - 2022", "Y", "E7T", 9, 2, 9, 4 });
dt.Rows.Add(new object[] { "MAR - 2022", "Y", "D5Y", 8, 3, 1, 8 });
dt.Rows.Add(new object[] { "MAR - 2022", "Y", "E7T", 8, 1, 1, 8 });
List<GroupModel> groups = dt.AsEnumerable().GroupBy(x => x.Field<string>("Agency"))
.Select(x => new GroupModel() {
LetterGroupName = x.Key,
LetterGroupData = x.Select(y => new LetterGroupData() {
Date = y.Field<string>("date"),
TypeX_Ave = x.Where(z => z.Field<string>("Type") == "X").Select(a => a.Field<int>("ABC_Count")).Sum(),
TypeY_Ave = x.Where(z => z.Field<string>("Type") == "Y").Select(a => a.Field<int>("ABC_Count")).Sum(),
Total = x.Sum(a => a.Field<int>("ABC_Count"))
}).ToList(),
}).ToList();
}
}
public class GroupModel
{
public string LetterGroupName { get; set; }
public List<LetterGroupData> LetterGroupData { get; set; }
}
public class LetterGroupData
{
public string Date { get; set; }
public double TypeX_Ave { get; set; }
public double TypeY_Ave { get; set; }
public int Total { get; set; }
}
}
If you really mean that you want totals by date you have to go back to the datatable like this
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
namespace ConsoleApplication2
{
class Program
{
static void Main(string[] args)
{
DataTable dt = new DataTable();
dt.Columns.Add("date", typeof(string));
dt.Columns.Add("Type", typeof(string));
dt.Columns.Add("Agency", typeof(string));
dt.Columns.Add("TotalCount", typeof(int));
dt.Columns.Add("ABC_Count", typeof(int));
dt.Columns.Add("DEF_Count", typeof(int));
dt.Columns.Add("GHI_Count", typeof(int));
dt.Rows.Add(new object[] { "JAN - 2022", "X", "B2X", 5, 5, 2, 3 });
dt.Rows.Add(new object[] { "JAN - 2022", "X", "C4A", 7, 5, 7, 2 });
dt.Rows.Add(new object[] { "FEB - 2022", "X", "B2X", 3, 2, 3, 1 });
dt.Rows.Add(new object[] { "FEB - 2022", "X", "C4A", 9, 1, 9, 4 });
dt.Rows.Add(new object[] { "MAR - 2022", "X", "B2X", 8, 3, 1, 8 });
dt.Rows.Add(new object[] { "MAR - 2022", "X", "C4A", 7, 1, 1, 7 });
dt.Rows.Add(new object[] { "JAN - 2022", "Y", "D5Y", 6, 6, 4, 3 });
dt.Rows.Add(new object[] { "JAN - 2022", "Y", "E7T", 7, 3, 7, 2 });
dt.Rows.Add(new object[] { "FEB - 2022", "Y", "D5Y", 4, 2, 4, 1 });
dt.Rows.Add(new object[] { "FEB - 2022", "Y", "E7T", 9, 2, 9, 4 });
dt.Rows.Add(new object[] { "MAR - 2022", "Y", "D5Y", 8, 3, 1, 8 });
dt.Rows.Add(new object[] { "MAR - 2022", "Y", "E7T", 8, 1, 1, 8 });
List<GroupModel> groups = dt.AsEnumerable().GroupBy(x => x.Field<string>("Agency"))
.Select(x => new GroupModel() {
LetterGroupName = x.Key,
LetterGroupData = x.Select(y => new LetterGroupData() {
Date = y.Field<string>("date"),
TypeX_Ave = dt.AsEnumerable().Where(z => z.Field<string>("Type") == "X" && z.Field<string>("date") == y.Field<string>("date")).Select(a => a.Field<int>("ABC_Count")).Sum(),
TypeY_Ave = dt.AsEnumerable().Where(z => z.Field<string>("Type") == "Y" && z.Field<string>("date") == y.Field<string>("date")).Select(a => a.Field<int>("ABC_Count")).Sum(),
Total = dt.AsEnumerable().Where(z => (z.Field<string>("Type") == "X" || z.Field<string>("Type") == "Y") && z.Field<string>("date") == y.Field<string>("date")).Select(a => a.Field<int>("ABC_Count")).Sum(),
}).ToList(),
}).ToList();
}
}
public class GroupModel
{
public string LetterGroupName { get; set; }
public List<LetterGroupData> LetterGroupData { get; set; }
}
public class LetterGroupData
{
public string Date { get; set; }
public double TypeX_Ave { get; set; }
public double TypeY_Ave { get; set; }
public int Total { get; set; }
}
}

C# SQL Query to return records and related records

I have a table as follows
I have a query that runs each day to find anything that's 5 days old or greater and has a status of "In Progress" and set the status to "Declined".
What I need to be able to do is also set the status to "Declined" for anything with a Linked_ID (child) where the ID (Parent) has been changed.
So in the table I already set ID 1 to "Declined" but I also need to set ID's 2,3,4,8 and 10 to "Declined"
Below is what I have so far, any support would be amazing and really helpful
var Process = from a in db.Table1
where a.Status == "In Progress" && a.Date_Created = DateTime.Now.AddDays(-5)
select a;
foreach (Table1 a in Process)
{
a.Status = "Declined";
}

Try following :
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
namespace ConsoleApplication1
{
class Program
{
static void Main(string[] args)
{
Declined declined = new Declined();
declined.Query(DateTime.Now.AddDays(1));
}
}
public class Declined
{
DataTable dt;
public Declined()
{
dt = new DataTable();
dt.Columns.Add("ID", typeof(int));
dt.Columns.Add("Status", typeof(string));
dt.Columns.Add("Date Created", typeof(DateTime));
dt.Columns.Add("Link_ID", typeof(int));
dt.Rows.Add(new object[] { 1, "In Progress", new DateTime(2020, 9, 25) });
dt.Rows.Add(new object[] { 2, "Completed", new DateTime(2020, 9, 28),1 });
dt.Rows.Add(new object[] { 3, "In Progress", new DateTime(2020, 9, 28),1 });
dt.Rows.Add(new object[] { 4, "In Progress", new DateTime(2020, 9, 28),1 });
dt.Rows.Add(new object[] { 5, "In Progress", new DateTime(2020, 9, 28),2 });
dt.Rows.Add(new object[] { 6, "In Progress", new DateTime(2020, 9, 28),3 });
dt.Rows.Add(new object[] { 7, "In Progress", new DateTime(2020, 9, 28) });
dt.Rows.Add(new object[] { 8, "In Progress", new DateTime(2020, 9, 28),1 });
dt.Rows.Add(new object[] { 9, "In Progress", new DateTime(2020, 9, 28) });
dt.Rows.Add(new object[] { 10, "In Progress", new DateTime(2020, 9, 28),1 });
}
public void Query(DateTime date)
{
List<DataRow> rows = dt.AsEnumerable().Where(x => (x.Field<string>("Status") == "In Progress") && (date.Date.Subtract(x.Field<DateTime>("Date Created")).Days > 5)).ToList();
foreach(DataRow row in rows)
{
if (rows.Count > 0) ChangeChildren_Recursive(row, row.Field<DateTime>("Date Created"));
}
}
public void ChangeChildren_Recursive(DataRow row, DateTime date)
{
int id = row.Field<int>("ID");
DateTime rowDate = row.Field<DateTime>("Date Created").Date;
string status = row.Field<string>("Status");
if((status == "In Progress") && (date != rowDate)) row["Status"] = "Declined";
List<DataRow> children = dt.AsEnumerable().Where(x => (x.Field<int?>("Link_ID") == id) && (x.Field<int?>("Link_ID") != null)).ToList();
foreach (DataRow childRow in children)
{
ChangeChildren_Recursive(childRow, date);
}
}
}
}

Sum Datatable values with same criteria

I have a data table and I need to merge the cells with the same values in the columns IPC and Second Best Issuer and sum the values in the columns Dirty value PC and Par Value LC. All the values are type string.
For example:
I'm a beginner with query and I'm looking for simple way to do this in C# with LINQ.
Thank You

Try following :
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
namespace ConsoleApplication11
{
class Program
{
static void Main(string[] args)
{
DataTable dt = new DataTable();
dt.Columns.Add("IPC", typeof(int));
dt.Columns.Add("Dirty", typeof(int));
dt.Columns.Add("Second", typeof(string));
dt.Columns.Add("Par", typeof(int));
dt.Rows.Add(new object[] { 1, 5, "BB", 55 });
dt.Rows.Add(new object[] { 1, 4, "B", 30 });
dt.Rows.Add(new object[] { 2, 15, "AAA", 20 });
dt.Rows.Add(new object[] { 1, 10, "BB", 80 });
dt.Rows.Add(new object[] { 2, 20, "AA", 90 });
dt.Rows.Add(new object[] { 2, 30, "AAA", 50 });
dt.Rows.Add(new object[] { 1, 5, "B", 60 });
dt.Rows.Add(new object[] { 2, 15, "AA", 70 });
var groups = dt.AsEnumerable().GroupBy(x => new {ipc = x.Field<int>("IPC"), second = x.Field<string>("Second")}).ToList();
DataTable dtsum = dt.Clone();
foreach(var group in groups)
{
dtsum.Rows.Add(new object[] {group.Key.ipc, group.Sum(y => y.Field<int>("Dirty")), group.Key.second, group.Sum(y => y.Field<int>("Par"))});
}
}
}
}

How to Arrange DataRow Sequences in datatable?

I have column in DataTable with RowsOrder postion?
In rowsorder postion data is-
Postion in Column:
1
1a
3
4
6
7
8
9
10
11
2a
11a
12
13a
14
5
2
12b
14c
abc
I want to show Postion
1
1a
2
2a
5
3
4
6
7
8
9
10
11
11a
12
12b
13a
14
14a
14c
.....
..
100
100a
101b
.....
1011a

Use IComparable
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
using System.Text.RegularExpressions;
namespace ConsoleApplication5
{
class Program
{
static void Main(string[] args)
{
DataTable dt = new DataTable();
dt.Columns.Add("AlphaNumeric", typeof(string));
dt.Rows.Add(new object[] { "1" });
dt.Rows.Add(new object[] { "1a" });
dt.Rows.Add(new object[] { "3" });
dt.Rows.Add(new object[] { "4" });
dt.Rows.Add(new object[] { "6" });
dt.Rows.Add(new object[] { "7" });
dt.Rows.Add(new object[] { "8" });
dt.Rows.Add(new object[] { "9" });
dt.Rows.Add(new object[] { "10" });
dt.Rows.Add(new object[] { "11" });
dt.Rows.Add(new object[] { "2a" });
dt.Rows.Add(new object[] { "11a" });
dt.Rows.Add(new object[] { "12" });
dt.Rows.Add(new object[] { "13a" });
dt.Rows.Add(new object[] { "14" });
dt.Rows.Add(new object[] { "5" });
dt.Rows.Add(new object[] { "2" });
dt.Rows.Add(new object[] { "12b" });
dt.Rows.Add(new object[] { "14c" });
dt.Rows.Add(new object[] { "abc" });
dt.Rows.Add(new object[] { "1011a" });
dt.Rows.Add(new object[] { "101b" });
dt.Rows.Add(new object[] { "100a" });
dt.Rows.Add(new object[] { "100" });
DataTable sorted = dt.AsEnumerable().OrderBy(x => new SortAlphaNumeric(x.Field<string>("AlphaNumeric"))).CopyToDataTable();
}
}
public class SortAlphaNumeric : IComparable<SortAlphaNumeric>
{
public int? number { get;set;}
public string alpha { get;set;}
public SortAlphaNumeric(string alphaNumeric)
{
string pattern = #"(?'number'\d*)(?'alpha'.*)";
Match match = Regex.Match(alphaNumeric, pattern);
string numberStr = match.Groups["number"].Value;
alpha = match.Groups["alpha"].Value;
if (numberStr.Length > 0)
{
number = (int?)int.Parse(numberStr);
}
}
public int CompareTo(SortAlphaNumeric other)
{
if (number == null)
{
if (other.number == null)
{
return alpha.CompareTo(other.alpha);
}
else
{
return 1 ; //other is greater than this
}
}
else
{
if (other.number == null)
{
return -1; //this is greater than other
}
else
{
if (this.number == other.number)
{
return this.alpha.CompareTo(other.alpha);
}
else
{
return ((int)this.number).CompareTo((int)other.number);
}
}
}
}
}
}

Compare each row of two identical Datatables for changed values C#

I need to compare two datatables which are having same schema and move the differences into another datatable. Below is my code which is not working fine:
DataTable dt1 = new DataTable("TableChanged");
dt1.Columns.Add("StateID",typeof(int));
dt1.Columns.Add("StateInitial");
dt1.Columns.Add("IsActive");
dt1.Rows.Add(new object[] { 10, "GA", 1 });
dt1.Rows.Add(new object[] { 11, "HI", 0 });
dt1.Rows.Add(new object[] { 12, "ID", 1 });
dt1.Rows.Add(new object[] { 13, "IL", 1 });
dt1.Rows.Add(new object[] { 14, "IN", 0 });
dt1.Rows.Add(new object[] { 15, "IA", 1 });
dt1.Rows.Add(new object[] { 23, "MN", 0 });
DataTable dt2 = new DataTable("TableOriginal");
dt2.Columns.Add("StateID", typeof(int));
dt2.Columns.Add("StateInitial");
dt2.Columns.Add("IsActive");
dt2.Rows.Add(new object[] { 10, "GA", 1 });
dt2.Rows.Add(new object[] { 11, "HI", 1 });
dt2.Rows.Add(new object[] { 12, "ID", 1 });
dt2.Rows.Add(new object[] { 13, "IL", 0 });
dt2.Rows.Add(new object[] { 14, "IN", 1 });
dt2.Rows.Add(new object[] { 15, "IA", 1 });
dt2.Rows.Add(new object[] { 23, "MN", 1 });
var matched = from table1 in dt1.AsEnumerable()
join table2 in dt2.AsEnumerable() on table1.Field<int>("StateID") equals table2.Field<int>("StateID")
//where table1.Field<object>("IsActive") == "0"
where table1.Field<string>("StateInitial") == table2.Field<string>("StateInitial") || table1.Field<object>("IsActive") == table2.Field<object>("IsActive")
select table1;
var missing = from table1 in dt1.AsEnumerable()
where !matched.Contains(table1)
select table1;
After comparison, I want result like:
StateID|StateInitial|IsActive
11 "HI" 0
13 "IL" 1
14 "IN" 0
23 "MN" 0

You can use DataRowComparer.Default, which compares every field of a DataRow, for the LINQ methods Intersect and Except. The latter gives you the missing rows, your desired result:
DataRowComparer<DataRow> fieldComparer = DataRowComparer.Default;
IEnumerable<DataRow> matched = dt1.AsEnumerable().Intersect(dt2.AsEnumerable(), fieldComparer);
IEnumerable<DataRow> missing = dt1.AsEnumerable().Except(dt2.AsEnumerable(), fieldComparer);
If you want to add the missing rows into a third table, you could use:
DataTable result = missing.CopyToDataTable();
But i suggest to use a different way because that throws an exception if there were no missing rows:
DataTable result = dt1.Clone(); // empty, same schema
foreach(DataRow row in missing)
result.ImportRow(row);

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C# (C-Sharp) is a programming language developed by Microsoft that runs on the .NET Framework.

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