Description
The following code is for implementing least known feature of DataTable, Compute() method. Furthermore, it shows how you can read data from tab deliminated text file, and move this data into DataTable object.
What does this method do?
It computes the given expression on the current rows that pass the filter criteria.
object
DataTable.Compute( string expression, string filter) as you see, the function return "Object",so you have to cast it to your data type. The following aggregate types are supported in expression:
- Sum (Sum)
- Avg (Average)
- Min (Minimum)
- Max (Maximum)
- Count (Count)
- StDev (Statistical standard deviation)
- Var (Statistical variance)
I commented inline, so it should be very easy to follow. I programmed a simple windows application, so you can test it. Do not forget to change "FilePath"
Source Code:
using
System;
using System.Collections;
using System.IO;
using System.Data;
using System.Data.SqlClient;
namespace DataTableCompute
{
public class Compute
{
/// <summary>
/// instance variables
/// </summary>
protected Decimal InterestSum; //sum
protected Double InterestVar; // statistical variance
protected Double InterestStDev; // standard deviation
protected Int32 InterestCount; //count
protected Decimal InterestMax; // maximum
protected Decimal InterestMin; // minimum
protected Decimal InterestAvg; // average
protected DataTable myDataTable; //holds data from text file
protected String FilePath; //holds filepath of text file
/// <summary>
/// DataTableCompute constructor
/// </summary>
/// <param name="FilePath"></param>
public Compute(string FilePath)
{
// instantiate instance variables
this.FilePath=FilePath;
myDataTable= new DataTable("InterestRate");
// read data from text file
// then move this data to
//myDataTable DataTable
ReadData_FromTextFile_And_Process();
//we have the data in datatable
// now we can calculate stats
ComputeStats();
}
/// <summary>
/// returns sum
/// </summary>
public Decimal sum
{
get
{
return this.InterestSum;
}
}
/// <summary>
/// returns average
/// </summary>
public Decimal average
{
get
{
return this.InterestAvg;
}
}
/// <summary>
/// returns count
/// </summary>
public Int32 Count
{
get
{
return this.InterestCount;
}
}
/// <summary>
/// return maximum number
/// </summary>
public Decimal Maximum
{
get
{
return this.InterestMax;
}
}
/// <summary>
/// returns minimum number
/// </summary>
public Decimal Minimum
{
get
{
return this.InterestMin;
}
}
/// <summary>
/// returns statistical variance
/// </summary>
public Double Variance
{
get
{
return this.InterestVar;
}
}
/// <summary>
/// returns statistical standard deviation
/// </summary>
public Double Std_Deviation
{
get
{
return this.InterestStDev;
}
}
/// <summary>
/// this function reads data from tab deliminated text file
/// and move them into DataTable object
/// </summary>
private void ReadData_FromTextFile_And_Process()
{
String input;
DataRow myDataRow;
//check whether the file is exist
// if not, throw an exception
if (!File.Exists(this.FilePath))
{
throw new Exception("File does not Exist");
}
//read the text file into StreamReader
StreamReader sr = File.OpenText(this.FilePath);
///we know that text file has two fields
///first field is date
///second field is interest rates in the U.S.
///this is real data coming from Federal Reserve Bank
myDataTable.Columns.Add("Date",typeof(DateTime));
myDataTable.Columns.Add("Interest_Rate",typeof(Decimal));
///loop until the end of file
while((input=sr.ReadLine())!=null)
{
String[] nodes;
///the following code shows you
///how you can split tab deliminated text
///new char[] {'\t'}
///\t means in C# is tab
///so we can use it for this purpose
nodes=input.Split( new char[] {'\t'} );
///add a new row to the datatable
myDataRow=myDataTable.NewRow();
///parse values then
///assign the values from array to rows
myDataRow["Date"]=DateTime.Parse(nodes[0]);
myDataRow["Interest_Rate"]=Decimal.Parse(nodes[1]);
/// add the row to the datatable
myDataTable.Rows.Add(myDataRow);
}
///close the streamreader
sr.Close();
}
/// <summary>
/// this function calculates some stats
/// built in DataTable object
/// myDataTable.Compute("Var(Interest_Rate)","Date>#6/1/1954#");
/// first thing after compute is expression
/// Var(Interest_Rate)
/// Var means variance
/// Interest rate is a column name as you see.
/// "Date>#6/1/1954#" is called filter
/// I know that the data starts 7/1/1954 so
/// the whole expression states that
/// after the date of 6/1/1954 compute the variance of interest_Rate column
/// </summary>
private void ComputeStats()
{
this.InterestVar=(double)myDataTable.Compute("Var Interest_Rate)","Date>#6/1/1954#");
this.InterestStDev=(double)myDataTable.Compute("StDev(Interest_Rate)","Date>#6/1/1954#");
this.InterestCount=(int)myDataTable.Compute("Count(Interest_Rate)","Date>#6/1/1954#");
this.InterestMax=(decimal)myDataTable.Compute("Max(Interest_Rate)","Date>#6/1/1954#");
this.InterestMin=(decimal)myDataTable.Compute("Min(Interest_Rate)","Date>#6/1/1954#");
this.InterestAvg=(decimal)myDataTable.Compute("Avg(Interest_Rate)","Date>#6/1/1954#");
this.InterestSum=(decimal)myDataTable.Compute("SUM(Interest_Rate)","Date>#6/1/1954#");
}
}
}