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Posted 24 Jan 2015

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# Pareto Chart C#

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Pareto Chart Control Using C#

If you like my article and Pareto Chart Control kindly leave me a comment and vote for my article.I hope this Control will be helpful.

Kindly don't forget to Vote my article if you find it as useful.

## Introduction

The main aim of this article is to create a simple Pareto Chart Control .There is few Third party Pareto charts available and also pareto chart can be made using MS Chart controls.My aim is to creata a simple pareto Chart User control.As a result ,Yes i have created a Pareto Chart user control using C#.Net.First we start with what is Pareto chart.In my pareto Chart control user can add X-axis Plot data from minimum 3 Plot data to maximum 10 Plot Data.This can be changed as per your requirement from my source code.With little source code modification you can also change to Line Chart ,Histogram Chart and Bar Chart.

Pareto Chart

Pareto Chart is a combination of both Bar graph and Line graph. In Pareto chart X-Axis we will plot the Data Names. In Left Y-Axis we will plot the Data Frequency and in Right side Y-Axis we will plot the Data Cumulative Frequency Percentage.A pareto chart is used to graphically summarize and display the relative importance of the differences between groups of data.

The rules of Pareto chart are to start displaying highest to lowest Frequency data as bar graph. Display the Cumulative Frequency Percentage data as a Line Graph.

here we can see a Sample data.

```S.No	Name	Freq	Cum Freq	Cum Per %
1	Pareto1	53	53	      19.27272727
2	pareto2	45	98	      35.63636364
3	pareto3	43	141	      51.27272727
4	pareto4	37	178	      64.72727273
5	pareto5	35	213	      77.45454545
6	pareto6	27	240	      87.27272727
7	pareto7	23	263	      95.63636364
8	pareto8	12	275	      100
Sum	275		```

The Above sample data has been used in my program to display the result of the Pareto chart. From the above data we can see.

Fre(Frequency) :

Frequency is the Total Count of data of the each sample .For example sample pareto1 has 53 data count and pareto2 has 45 and etc.

Frequency = Total Count of Each Data

Cum Freq (Cumulative Frequency) :

Cumulative Frequency is previous frequency plus Current frequency. For example first frequency is 53 so the Cumulative Frequency will be as 53.Next Frequency is 45 so the Cumulative Frequency will be 45+53=98 and etc.

Cumulative Frequency =previous Frequency + Current Frequency (for first data previous frequency will be  as zero).

Cum per % (Cumulative Frequency Percentage) :

Cumulative Frequency Percentage will be calculated by Cumulative Frequency divded by Sum of Frequency  and multiplied by 100.For Example Sum of Frequency is 275.First Cumulative Frequency is 53 so 53/275*100=19.27.

Cumulative Frequency percentage =SUM of Frequency / Current Cumulative Frequency *100

From the below image we can see the sample Excel file which has the above sample data with result and my Pareto Control Chart with result.

I have created a Pareto Chart as a User Control so that it can be used easily in all projects.

In this article i have attached zip file named as SHANUParetoChart.zip. Which contains .

1) "ShanuParetoChart_CTL" Folder (This folder contains the pareto Chart User control Source code.

Note : I will pass the data to the user control as DataTable. User can fallow the same method or change my code as per your requirement.

The DataTable format is first Column as Serial No. The Second Column as Data Name and third Column as Frequency. For my sample i will pass the total Data count for every sample as Frequency. The DataTable i have created like this .

C#
```DataTable dt = new DataTable();
dt.Columns["Frequency"].DataType = Type.GetType("System.Int32");
```

2) "SHANUParetoChart_DEMO" Folder (This folder conains the Demo program which includes the paretoChart user control with Random data sample using Timer control).

## Using the code

1) First we will start with the User Control .To Create a user control .

1. Create a new Windows Control Library project.
2. Set the Name of Project and Click Ok(here my user control name is ShanuParetoChart_CTL).
3. Add all the controls which is needed.
4. In code behind declare all the public variables and Public property variables.
C#
```private System.Windows.Forms.PictureBox PicBox;
private System.Windows.Forms.Panel OuterPanel;
private System.ComponentModel.Container components = null;
private string m_sPicName = "";

int NoofPlots = 5;

public DataTable dt = new DataTable();

Font f12 = new Font("arial", 12, FontStyle.Bold, GraphicsUnit.Pixel);
Pen B1pen = new Pen(Color.Black, 1);
Pen B2pen = new Pen(Color.Black, 2);

int[] intDataValue;
int[] intCumulativeValue;
Double[] intCumulativeValuePer;
Double[] XaxisplotWidth;

int First_chartDatarectHeight = 400;
int First_chartDatarectWidth = 600;
Font f10 = new Font("arial", 10, FontStyle.Bold, GraphicsUnit.Pixel);
```

5.In Pictuerbox Paint Method I call a Method to draw the pareto chart.i have used .NET GDI+ to Draw both Bar and Line Graph in Pareto chart with the Datatable result.In paint method i check for the Datatable Data and store the Frequency ,Cumulative Frequency and Cumulative Frequency Percentage to a Array.

C#
```public void PicBox_Paint(object sender, PaintEventArgs e)
{

int opacity = 58; // 50% opaque (0 = invisible, 255 = fully opaque)

e.Graphics.DrawString("SHANU Pareto CHART",
new Font("Arial", 28),
new SolidBrush(Color.FromArgb(opacity, Color.OrangeRed)),
20,
10);
if (dt.Rows.Count <= 2)
{
return;
}

int NoofTrials = dt.Rows.Count;
int NoofParts = dt.Columns.Count - 1;
NoofPlots = NoofTrials;

intDataValue = new int[NoofTrials];
intCumulativeValue = new int[NoofTrials];
intCumulativeValuePer = new Double[NoofTrials];
if (dt.Rows.Count <= 2)
{
return;
}
int idataval = 0;
dt.DefaultView.Sort = "Frequency DESC";
dt = dt.DefaultView.ToTable();

for (int iRow = 0; iRow < dt.Rows.Count; iRow++)
{
intDataValue[idataval] = System.Convert.ToInt32(dt.Rows[iRow][2].ToString());
idataval = idataval + 1;

}
int sumofFrequence = intDataValue.Sum();
intCumulativeValue[0] = intDataValue[0];
intCumulativeValuePer[0] = Convert.ToDouble(intCumulativeValue[0]) / Convert.ToDouble(sumofFrequence) * 100;
for (int ival = 1; ival < intDataValue.Length; ival++)
{

intCumulativeValue[ival] = intCumulativeValue[ival - 1] + intDataValue[ival];
intCumulativeValuePer[ival] = Convert.ToDouble(intCumulativeValue[ival]) / Convert.ToDouble(sumofFrequence) * 100;

}

drawPareto(e.Graphics, sumofFrequence);

}
```

In "drawpareto" function chek all data and draw -X axis,Y-Axis with both frequency and Cumulative frequency percentage.read all Sample frequency data and draw a bar graph using Draw and fill rectangel method.

C#
```public void drawPareto(Graphics e, int sumofFrequence)
{
try
{
First_chartDatarectHeight = PicBox.Height - 20;
First_chartDatarectWidth = PicBox.Width - 20;

// 1) For the Chart Data Display ---------
e.DrawRectangle(Pens.Black, 10, 10, First_chartDatarectWidth, First_chartDatarectHeight);

int historgramHeigt = First_chartDatarectHeight - 30;
int historgramWidth = First_chartDatarectWidth - 20;
int StartXval = 80;
int startyval = 60;

// Measurement Horizontal Line
e.DrawLine(B1pen, StartXval, historgramHeigt, historgramWidth, historgramHeigt);

//Frequency Vertical line
e.DrawLine(B1pen, StartXval, startyval, StartXval, historgramHeigt);

//Cumulative frequency Persentage Ploting
e.DrawLine(B1pen, historgramWidth, startyval, historgramWidth, historgramHeigt);

//  NoofPlots =7;
//Draw Xaxis plots
int widthcalculation = (historgramWidth) / NoofPlots + 1;
if (widthcalculation <= StartXval)
{
widthcalculation = StartXval;
}
int XvalPosition = widthcalculation;

widthcalculation = widthcalculation - 18;

String[] Xaxisplotdata = new String[NoofPlots];

XaxisplotWidth = new Double[NoofPlots];

RectangleF rectF1 = new RectangleF(30, 10, 100, 122);

// End of Xaxis Plot

Double yValmaxDataVal = intDataValue.Max();
Double yValminDataVal = intDataValue.Min();
Double yValresultMaxMin = yValmaxDataVal - yValminDataVal;

//for ploting the xval data
Double yValMeasurementYAxisValue = yValmaxDataVal / NoofPlots;
int yValheightcalculation = historgramHeigt / NoofPlots;
int yValXvalPosition = yValheightcalculation;

Double plotYvals = yValmaxDataVal + 4;

Double[] YaxisplotHight = new Double[NoofPlots];
Double[] YaxisplotData = new Double[NoofPlots];

for (int ival = 0; ival < NoofPlots; ival++)
{
//Draw Xaxis plots
String MeasurementXAxisValue = dt.Rows[ival][1].ToString();
Xaxisplotdata[ival] = MeasurementXAxisValue;
e.DrawLine(B1pen, XvalPosition, historgramHeigt, XvalPosition, historgramHeigt + 15);
rectF1 = new RectangleF(XvalPosition, historgramHeigt + 6, widthcalculation, 34);
e.DrawString(MeasurementXAxisValue.ToString(), f10, a2, rectF1);
// e.DrawRectangle(Pens.Black, Rectangle.Round(rectF1));

XaxisplotWidth[ival] = XvalPosition;
XvalPosition = XvalPosition + widthcalculation;

// End of Xaxis Plot

// Draw Y axis Plot
if (ival == NoofPlots - 1)
{
e.DrawString("0", f10, a2, StartXval - 12, yValXvalPosition + 4);
}
else
{
e.DrawLine(B1pen, StartXval - 10, yValXvalPosition, StartXval, yValXvalPosition);
e.DrawString(Math.Round(plotYvals, 0).ToString(), f10, a2, StartXval - 20, yValXvalPosition + 4);
}

//else
//{
//    plotYvals = plotYvals - yValMeasurementYAxisValue;
//}
YaxisplotData[ival] = plotYvals;
plotYvals = plotYvals - yValMeasurementYAxisValue;

YaxisplotHight[ival] = yValXvalPosition;
yValXvalPosition = yValXvalPosition + yValheightcalculation;

//End of Yaxis Plot.

}

int widthcalculation_new = historgramWidth / NoofPlots;

int XvalPosition_Start = Convert.ToInt32(XaxisplotWidth[0]);

int XvalPosition_new = Convert.ToInt32(XaxisplotWidth[1]) - XvalPosition_Start;

widthcalculation = widthcalculation - 18;

int Ystartval = 100;
int YEndval = 100;
//Fill Rectangle

Font f2 = new Font("arial", 12, FontStyle.Bold, GraphicsUnit.Pixel);
for (int ival = 0; ival < YaxisplotData.Length - 1; ival++)
{
for (int yval = 1; yval < YaxisplotData.Length - 1; yval++)
{

Double finaldisplayvalue = YaxisplotHight[yval - 1] + ((YaxisplotData[yval - 1] - intDataValue[ival]) * 6);

if (intDataValue[ival] <= YaxisplotData[yval - 1] && intDataValue[ival] > YaxisplotData[yval])
{

Ystartval = Convert.ToInt32(finaldisplayvalue);
YEndval = historgramHeigt - Convert.ToInt32(finaldisplayvalue);
}

else if (intDataValue[ival] <= YaxisplotData[yval - 1] && intDataValue[ival] < YaxisplotData[yval])
{
//  Double finaldisplayvalue = YaxisplotHight[yval - 1] + ((YaxisplotData[yval - 1] - intDataValue[ival]));

Ystartval = Convert.ToInt32(finaldisplayvalue);
YEndval = historgramHeigt - Convert.ToInt32(finaldisplayvalue);
}
}

if (YEndval > 2)
{
}
else
{
Ystartval = historgramHeigt - 2;
YEndval = 2;
}

XvalPosition_Start = Convert.ToInt32(XaxisplotWidth[ival]);
e.DrawRectangle(B1pen, XvalPosition_Start, Ystartval, XvalPosition_new, YEndval);
e.FillRectangle(a6, XvalPosition_Start, Ystartval - 1, XvalPosition_new - 1, YEndval - 1);
e.DrawString(intDataValue[ival].ToString(), f2, a2, XvalPosition_Start + 10, Ystartval - 20);

XvalPosition_new = Convert.ToInt32(XaxisplotWidth[ival + 1]) - XvalPosition_Start;// XvalPosition_Start+XvalPosition_new + widthcalculation_new;

if (ival == YaxisplotData.Length - 2)
{
for (int yval = 1; yval < YaxisplotData.Length - 1; yval++)
{
if (intDataValue[ival + 1] <= YaxisplotData[yval - 1] && intDataValue[ival] > YaxisplotData[yval])
{
Double finaldisplayvalue = YaxisplotHight[yval - 1] + ((YaxisplotData[yval - 1] - intDataValue[ival + 1]) * 6);

Ystartval = Convert.ToInt32(finaldisplayvalue);
YEndval = historgramHeigt - Convert.ToInt32(finaldisplayvalue);
}
else if (intDataValue[ival + 1] <= YaxisplotData[yval - 1] && intDataValue[ival + 1] < YaxisplotData[yval])
{
Double finaldisplayvalue = YaxisplotHight[yval - 1] + ((YaxisplotData[yval - 1] - intDataValue[ival + 1]) * 6);

Ystartval = Convert.ToInt32(finaldisplayvalue);
YEndval = historgramHeigt - Convert.ToInt32(finaldisplayvalue);
}
}

if (YEndval > 2)
{
}
else
{
Ystartval = historgramHeigt - 2;
YEndval = 2;
}

XvalPosition_Start = Convert.ToInt32(XaxisplotWidth[ival + 1]);

if (XvalPosition_Start + XvalPosition_new > historgramWidth)
{
XvalPosition_new = XvalPosition_new - (XvalPosition_Start + XvalPosition_new - historgramWidth);
}

//  a6 = new LinearGradientBrush(new RectangleF(StartXval, Ystartval, XvalPosition_new, YEndval), Color.GreenYellow, Color.Green, LinearGradientMode.Vertical);
e.DrawRectangle(B1pen, XvalPosition_Start, Ystartval, XvalPosition_new, YEndval);
e.FillRectangle(a6, XvalPosition_Start, Ystartval - 1, XvalPosition_new - 1, YEndval - 1);
e.DrawString(intDataValue[ival + 1].ToString(), f2, a2, XvalPosition_Start + 10, Ystartval - 20);
}

}

//Draw Line Curve on pareto Chart
drawParetoCurveLine(e);

}
catch (Exception ex)
{
MessageBox.Show(ex.ToString());
}
}
```

Same like above function i check for all Cumulative frequency percentage data and draw a line graph using the drawline and fillpie methods.

C#
```public void drawParetoCurveLine(Graphics e)
{

First_chartDatarectHeight = PicBox.Height - 20;
First_chartDatarectWidth = PicBox.Width - 20;

int historgramHeigt = First_chartDatarectHeight - 30;
int historgramWidth = First_chartDatarectWidth - 20;
int StartXval = historgramWidth + 12;
int startyval = 60;

Double yValmaxDataVal = 100;
Double yValminDataVal = 0;
Double yValresultMaxMin = yValmaxDataVal - yValminDataVal;
int NoofPlots = 5;
Double yValMeasurementYAxisValue = yValmaxDataVal / NoofPlots;
int yValheightcalculation = historgramHeigt / NoofPlots;
int yValXvalPosition = startyval;// yValheightcalculation;

Double plotYvals = yValmaxDataVal;

Double[] YaxisplotHight = new Double[NoofPlots];
Double[] YaxisplotData = new Double[NoofPlots];

for (int ival = 0; ival <= NoofPlots - 1; ival++)
{

if (ival == NoofPlots)
{
e.DrawString("0", f10, a2, StartXval - 12, yValXvalPosition + 4);
}
else
{
e.DrawLine(B1pen, StartXval - 10, yValXvalPosition, StartXval, yValXvalPosition);
e.DrawString(Math.Round(plotYvals, 0).ToString() + "%", f10, a2, StartXval - 11, yValXvalPosition + 4);
}

YaxisplotData[ival] = plotYvals;
plotYvals = plotYvals - yValMeasurementYAxisValue;

YaxisplotHight[ival] = yValXvalPosition;
yValXvalPosition = yValXvalPosition + yValheightcalculation;

}

SolidBrush brush = new SolidBrush(Color.Aquamarine);
Random rnd = new Random();

NoofPlots = intCumulativeValuePer.Length;

int widthcalculation_new = historgramWidth / NoofPlots;

int XvalPosition_Start = Convert.ToInt32(XaxisplotWidth[0]);

int XvalPosition_new = Convert.ToInt32(XaxisplotWidth[1]) - XvalPosition_Start;

int Ystartval = 100;
int YEndval = 100;
//Fill Rectangle
brush = new SolidBrush(Color.Aquamarine);
Pen pen = new Pen(Color.Gray);
Font f2 = new Font("arial", 12, FontStyle.Bold, GraphicsUnit.Pixel);
Point p1 = new Point();
Point p2 = new Point();
int smallLength = (historgramWidth / (intCumulativeValuePer.Length + 1));
Double smallHeight = 0;
// int smallX = topX;
for (int i = 0; i < intCumulativeValuePer.Length - 1; i++)
{

brush.Color = Color.FromArgb(rnd.Next(200, 255), rnd.Next(255),
rnd.Next(255), rnd.Next(255));
p1 = p2;

if (i == 0)
{
p2.X = p2.X + smallLength + 40;
}
else
{
p2.X = p2.X + smallLength + 14;
}

smallHeight = YaxisplotHight[YaxisplotHight.Length - 1] + ((YaxisplotData[YaxisplotHight.Length - 1] - intCumulativeValuePer[i]) * 2);

for (int yval = 1; yval < YaxisplotData.Length; yval++)
{

// Double finaldisplayvalue = YaxisplotHight[yval - 1] + ((YaxisplotData[yval - 1] - intCumulativeValuePer[i])*10);

Double finaldisplayvalue = YaxisplotHight[yval] + ((YaxisplotData[yval] - intCumulativeValuePer[i]) * 2);
if (intCumulativeValuePer[i] <= YaxisplotData[yval - 1] && intCumulativeValuePer[i] > YaxisplotData[yval])
{

Ystartval = Convert.ToInt32(finaldisplayvalue);
smallHeight = Convert.ToInt32(finaldisplayvalue);
}

}
// smallHeight = historgramHeigt - YaxisplotHight[i]+150;

p2.Y = Convert.ToInt32(smallHeight);
if (p1.X != 0 && p1.Y != 0)
{
e.DrawLine(pen, p1, p2);

}
Color pointColor = new Color();
pointColor = Color.Green;

DrawDots(e, p2, pointColor);
e.DrawString(Math.Round(intCumulativeValuePer[i], 2).ToString(), f2, a2, p2.X, p2.Y - 18);

if (i == 0)
{
smallLength = smallLength - 15;
}

if (i == intCumulativeValuePer.Length - 2)
{
p1.X = p2.X;
p1.Y = p2.Y;
for (int yval = 1; yval < YaxisplotData.Length; yval++)
{

// Double finaldisplayvalue = YaxisplotHight[yval - 1] + ((YaxisplotData[yval - 1] - intCumulativeValuePer[i])*10);

Double finaldisplayvalue = YaxisplotHight[yval] + ((YaxisplotData[yval] - intCumulativeValuePer[i + 1]) * 3);
if (intCumulativeValuePer[i + 1] <= YaxisplotData[yval - 1] && intCumulativeValuePer[i + 1] > YaxisplotData[yval])
{

Ystartval = Convert.ToInt32(finaldisplayvalue);
smallHeight = Convert.ToInt32(finaldisplayvalue);
}

}
//    p2.X = p2.X + smallLength - 24;
p2.Y = Convert.ToInt32(smallHeight);
if (p1.X != 0 && p1.Y != 0)
{

p2.X = p2.X + smallLength + 14;
e.DrawLine(pen, p1, p2);

}
DrawDots(e, p2, pointColor);
e.DrawString(Math.Round(intCumulativeValuePer[i + 1], 2).ToString(), f2, a2, p2.X, p2.Y - 18);
} } }
```

I have added a user friendly featuer as to save my pareto chart as Image.User can save the pareto chart as Image by double click on pareto chart control or by right click and save.

C#
```private void PicBox_DoubleClick(object sender, EventArgs e)
{
saveImages();
}

private void docmenu_Click(object sender, EventArgs e)
{
saveImages();
}

public void saveImages()
{
if (dt.Rows.Count <= 0)
{
return;
}

using (var bitmap = new Bitmap(PicBox.Width, PicBox.Height))
{
PicBox.DrawToBitmap(bitmap, PicBox.ClientRectangle);

SaveFileDialog dlg = new SaveFileDialog();
dlg.FileName = "*";
dlg.DefaultExt = "bmp";
dlg.ValidateNames = true;

dlg.Filter = "Bitmap Image (.bmp)|*.bmp|Gif Image (.gif)|*.gif|JPEG Image (.jpeg)|*.jpeg|Png Image (.png)|*.png";
if (dlg.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{

bitmap.Save(dlg.FileName);
}}
}
```

6.After completion save,Build and run the project.

2) Now we create a Windows application and add test our "ShanuParetoChart_CTL" User Control.

1. Create a new Windows project.
2. Open your form and then from Toolbox > right click > choose items > browse select your user control dll and add.
3.  Drag the User Control to your windows form.
4. create DataTable and pass Datatable to our user Control.
C#
```public void loadGridColums()
{
dt.Columns["Frequency"].DataType = Type.GetType("System.Int32");
}
```

5.In my demo program I have used the Timer for the random sample data .I have used the "button1" as Toggle button.When first time clicked Enabled and Start the Timer and same button clicked again Stop the Timer.When timer is Start i have generated a random no and pass the different data to user control and check for the chart result.

C#
```private void frmShanuPaerto_Load(object sender, EventArgs e)
{
shanuParetoChart.Bindgrid(dt);
}

private void button1_Click(object sender, EventArgs e)
{
if (button1.Text == "Real Time Data ON")
{
timer1.Enabled = true;
timer1.Start();
button1.Text = "Real Time Data Off";
}
else
{
timer1.Enabled = false;
timer1.Stop();
button1.Text = "Real Time Data ON";
}
}

private void timer1_Tick(object sender, EventArgs e)
{
shanuParetoChart.Bindgrid(dt);
}
```

## Conclusion

The main aim of this article is to create a simple user friendly Pareto chart Control which will be useful for many users to use and work for free in their projects. I hope my Pareto chart control will be useful for many users from now on.

http://www.wikihow.com/Create-a-Pareto-Chart-in-MS-Excel-2010

http://whatis.techtarget.com/definition/Pareto-chart-Pareto-distribution-diagram

If you want to know more about Pareto Chart kindly refer this web site.This site has simple way of explaining about Pareto chart.

http://www.vectorstudy.com/management-theories/pareto-chart

http://thequalityweb.com/pareto.html

## History

• Initial release on 2014/08/01.
• Added new downgraded version from framework from 4.0 to 2.0 2014/08/05 (One user has requested for the same control for Framework 2.0.

## Share

Microsoft MVP | Code Project MVP | CSharp Corner MVP | Author | Blogger and always happy to Share what he knows to others. MyBlog

My Interview on Microsoft TechNet Wiki Ninja Link

 First Prev Next
 some code question 陳柏翰11-Sep-17 23:21 陳柏翰 11-Sep-17 23:21
 5 Star _Saeed_20-Jun-17 0:45 _Saeed_ 20-Jun-17 0:45
 Nice Job Youzelin3-Feb-15 19:23 Youzelin 3-Feb-15 19:23
 Cumulative histogram curve vdeo19-Sep-14 22:14 vdeo1 9-Sep-14 22:14
 Nice article Gurunatha Dogi4-Aug-14 23:43 Gurunatha Dogi 4-Aug-14 23:43
 Re: Nice article syed shanu5-Aug-14 14:19 syed shanu 5-Aug-14 14:19
 Same thing with VS 2005 CSC BPS Product Developer4-Aug-14 21:22 CSC BPS Product Developer 4-Aug-14 21:22
 Re: Same thing with VS 2005 syed shanu4-Aug-14 21:30 syed shanu 4-Aug-14 21:30
 Re: Same thing with VS 2005 syed shanu4-Aug-14 21:57 syed shanu 4-Aug-14 21:57
 Re: Same thing with VS 2005 CSC BPS Product Developer4-Aug-14 22:39 CSC BPS Product Developer 4-Aug-14 22:39
 Good Job KannanRavindranS4-Aug-14 17:46 KannanRavindranS 4-Aug-14 17:46
 Re: Good Job syed shanu4-Aug-14 21:58 syed shanu 4-Aug-14 21:58
 Nice work Smile5631-Jul-14 20:48 Smile56 31-Jul-14 20:48
 Re: Nice work syed shanu31-Jul-14 20:52 syed shanu 31-Jul-14 20:52
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