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‎Document-Processing/Excel/Conversions/Chart-to-Image/NET/Chart-to-Image-Conversion.md‎

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@@ -19,36 +19,30 @@ The following code snippet shows how to convert an Excel chart to an image using
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{% highlight c# tabtitle="C# [Cross-platform]" playgroundButtonLink="https://raw.githubusercontent.com/SyncfusionExamples/XlsIO-Examples/master/Chart%20to%20Image/Chart%20to%20Image/.NET/Chart%20to%20Image/Chart%20to%20Image/Program.cs,180" %}
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using (ExcelEngine excelEngine = new ExcelEngine())
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{
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//Initialize application
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IApplication application = excelEngine.Excel;
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//Set the default version as Xlsx
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application.DefaultVersion = ExcelVersion.Xlsx;
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IApplication application = excelEngine.Excel;
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application.DefaultVersion = ExcelVersion.Xlsx;
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//Initialize XlsIORenderer
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application.XlsIORenderer = new XlsIORenderer();
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// Initialize XlsIORenderer
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application.XlsIORenderer = new XlsIORenderer();
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//Set converter chart image format to PNG or JPEG
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application.XlsIORenderer.ChartRenderingOptions.ImageFormat = ExportImageFormat.Png;
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//Set converter chart image format to PNG
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application.XlsIORenderer.ChartRenderingOptions.ImageFormat = ExportImageFormat.Png;
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//Set the chart image quality to best
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application.XlsIORenderer.ChartRenderingOptions.ScalingMode = ScalingMode.Best;
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FileStream inputStream = new FileStream(Path.GetFullPath(@"Data/InputTemplate.xlsx"), FileMode.Open, FileAccess.Read);
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IWorkbook workbook = application.Workbooks.Open(inputStream);
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IWorksheet worksheet = workbook.Worksheets[0];
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//Open existing workbook with chart
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IWorkbook workbook = application.Workbooks.Open(Path.GetFullPath(@"Data/InputTemplate.xlsx"));
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IWorksheet worksheet = workbook.Worksheets[0];
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//Access the chart from the worksheet
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IChart chart = worksheet.Charts[0];
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IChart chart = worksheet.Charts[0];
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#region Save
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//Exporting the chart as image
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FileStream outputStream = new FileStream(Path.GetFullPath("Output/Image.png"), FileMode.Create, FileAccess.Write);
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chart.SaveAsImage(outputStream);
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#endregion
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#region Save
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//Saving the workbook
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FileStream outputStream = new FileStream(Path.GetFullPath("Output/Image.png"), FileMode.Create, FileAccess.Write);
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chart.SaveAsImage(outputStream);
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#endregion
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//Dispose streams
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outputStream.Dispose();
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//Dispose streams
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outputStream.Dispose();
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inputStream.Dispose();
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}
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{% endhighlight %}
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‎Document-Processing/Excel/Conversions/Excel-to-PDF/NET/Performance-Metrics.md‎

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‎Document-Processing/Excel/Excel-Library/NET/Performance-Metrics.md‎

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---
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title: Performance Metrics for Syncfusion Excel (XlsIO) Library
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description: This section provides benchmark results and insights into the performance capabilities of the Syncfusion Excel (XlsIO) library across various operations.
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title: Performance Metrics of the Syncfusion Excel (XlsIO) Library
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description: This section provides an overview of the performance capabilities of the Syncfusion Excel (XlsIO) Library.
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platform: document-processing
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control: XlsIO
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documentation: UG
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---
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# Performance Metrics in Excel (XlsIO) Library
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This section evaluates the performance of the Syncfusion Excel (XlsIO) library when handling text, date and time, number, boolean, and formula data types during operations such as reading and creating Excel documents.
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This section evaluates the performance of the Syncfusion XlsIO library when handling String, DateTime, Number, Boolean, and Formula data types during operations such as opening, reading, creating, and saving Excel files. It provides insights into the efficiency and capabilities of XlsIO for processing these data types across various platforms.
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## Open and Read
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The table below illustrates the performance of data types for open operations.
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<table>
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<tr>
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<th>Data types</th>
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<th>Test case Matrix (Open)</th>
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<th>XlsIO (ms)</th>
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<th>Sample</th>
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</tr>
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<tr>
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<td>String</td>
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<td>150 rows * 10000 columns</td>
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<td>2213</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/String%20Data%20Type/.NET/String%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>DateTime</td>
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<td>150 rows * 10000 columns</td>
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<td>1369</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/DateTime%20Data%20Type/.NET/DateTime%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>Number</td>
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<td>150 rows * 10000 columns</td>
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<td>1151</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/Number%20Data%20Type/.NET/Number%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>Boolean</td>
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<td>150 rows * 10000 columns</td>
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<td>1173</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/Boolean%20Data%20Type/.NET/Boolean%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>Formula</td>
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<td>150 rows * 10000 columns</td>
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<td>1545</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/Formula%20Data%20Type/.NET/Formula%20Data%20Type">GitHub page</a></td>
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</tr>
54+
</table>
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You can find the sample used for open operation performance evaluation on <a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open">this GitHub page</a>.
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The table below illustrates the performance of data types for read operations.
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<table>
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<tr>
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<th>Data types</th>
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<th>Test case Matrix (Read)</th>
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<th>XlsIO (ms)</th>
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<th>Sample</th>
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</tr>
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<tr>
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<td>String</td>
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<td>150 rows * 10000 columns</td>
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<td>139</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Read/String%20Data%20Type/.NET/String%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>DateTime</td>
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<td>150 rows * 10000 columns</td>
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<td>506</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Read/DateTime%20Data%20Type/.NET/DateTime%20Data%20Type">GitHub page</a></td>
78+
</tr>
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<tr>
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<td>Number</td>
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<td>150 rows * 10000 columns</td>
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<td>294</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Read/Number%20Data%20Type/.NET/Number%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>Boolean</td>
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<td>150 rows * 10000 columns</td>
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<td>99</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Read/Boolean%20Data%20Type/.NET/Boolean%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>Formula</td>
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<td>150 rows * 10000 columns</td>
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<td>165</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Read/Formula%20Data%20Type/.NET/Formula%20Data%20Type">GitHub page</a></td>
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</tr>
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</table>
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You can find the sample used for read operation performance evaluation on <a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Read">this GitHub page</a>.
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## Create and Save
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The table below illustrates the performance of creating and saving an Excel document containing 100,000 rows and 50 columns for different data types.
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The table below illustrates the performance of data types for create operations.
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<table>
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<table>
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<tr>
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<th>Data type</th>
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<th>Time Taken (sec)</th>
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<th>Sample Link</th>
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<th>Data types</th>
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<th>Test case Matrix (Create)</th>
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<th>XlsIO (ms)</th>
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<th>Sample</th>
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</tr>
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<tr>
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<td>Text</td>
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<td>13</td>
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<td>String</td>
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<td>150 rows * 10000 columns</td>
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<td>1177</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Create/String%20Data%20Type/.NET/String%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>DateTime</td>
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<td>15</td>
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<td>150 rows * 10000 columns</td>
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<td>2301</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Create/DateTime%20Data%20Type/.NET/DateTime%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>Number</td>
35-
<td>5</td>
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<td>150 rows * 10000 columns</td>
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<td>436</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Create/Number%20Data%20Type/.NET/Number%20Data%20Type">GitHub page</a></td>
37129
</tr>
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<tr>
39131
<td>Boolean</td>
40-
<td>5</td>
132+
<td>150 rows * 10000 columns</td>
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<td>422</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Create/Boolean%20Data%20Type/.NET/Boolean%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>Formula</td>
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<td>35</td>
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<td>150 rows * 10000 columns</td>
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<td>4089</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Create/Formula%20Data%20Type/.NET/Formula%20Data%20Type">GitHub page</a></td>
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</tr>
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</table>
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You can find the sample used for create operation performance evaluation on <a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Create">this GitHub page</a>.
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## Load and Read
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52-
The table below illustrates the performance of loading and reading cell values from an Excel document with 100,000 rows and 50 columns for different data types.
146+
The table below illustrates the performance of data types for save operations.
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54148
<table>
55149
<tr>
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<th>Data type</th>
57-
<th>Time Taken (sec)</th>
58-
<th>Sample Link</th>
150+
<th>Data types</th>
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<th>Test case Matrix (Save)</th>
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<th>XlsIO (ms)</th>
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<th>Sample</th>
59154
</tr>
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<tr>
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<td>Text</td>
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<td>9</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/String%20Data%20Type/.NET/String%20Data%20Type">GitHub page</a></td>
156+
<td>String</td>
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<td>150 rows * 10000 columns</td>
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<td>1422</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Save/String%20Data%20Type/.NET/String%20Data%20Type">GitHub page</a></td>
64160
</tr>
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<tr>
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<td>DateTime</td>
67-
<td>5</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/DateTime%20Data%20Type/.NET/DateTime%20Data%20Type">GitHub page</a></td>
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<td>150 rows * 10000 columns</td>
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<td>1270</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Save/DateTime%20Data%20Type/.NET/DateTime%20Data%20Type">GitHub page</a></td>
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</tr>
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<tr>
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<td>Number</td>
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<td>6</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/Number%20Data%20Type/.NET/Number%20Data%20Type">GitHub page</a></td>
169+
<td>150 rows * 10000 columns</td>
170+
<td>916</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Save/Number%20Data%20Type/.NET/Number%20Data%20Type">GitHub page</a></td>
74172
</tr>
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<tr>
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<td>Boolean</td>
77-
<td>4</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/Boolean%20Data%20Type/.NET/Boolean%20Data%20Type">GitHub page</a></td>
175+
<td>150 rows * 10000 columns</td>
176+
<td>781</td>
177+
<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Save/Boolean%20Data%20Type/.NET/Boolean%20Data%20Type">GitHub page</a></td>
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</tr>
80179
<tr>
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<td>Formula</td>
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<td>9</td>
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<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Open/Formula%20Data%20Type/.NET/Formula%20Data%20Type">GitHub page</a></td>
181+
<td>150 rows * 10000 columns</td>
182+
<td>1222</td>
183+
<td><a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Save/Formula%20Data%20Type/.NET/Formula%20Data%20Type">GitHub page</a></td>
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</tr>
85-
</table>
86-
185+
</table>
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You can find the sample used for save operation performance evaluation on <a href="https://github.com/SyncfusionExamples/XlsIO-Examples/tree/master/Performance%20Metrics/Save">this GitHub page</a>.

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