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<title><![CDATA[Point: Xiaoguang Yan - (Udvikler)]]></title>
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<description><![CDATA[Point: Xiaoguang Yan - (Udvikler)]]></description>
<language>da</language>
<generator>AppAgg.com</generator>
<pubDate>Sun, 25 Jan 2026 13:59:10 GMT</pubDate>
<lastBuildDate>Sun, 25 Jan 2026 13:59:10 GMT</lastBuildDate>
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<title><![CDATA[Point: Xiaoguang Yan - (Udvikler)]]></title>
</image>

<item>
<title><![CDATA[+1 point - (ved: Alan) - StatDataViewer (macOS Apps)]]></title>
<guid isPermaLink="false"><![CDATA[points:1137879]]></guid>
<link><![CDATA[https://appagg.com/points/rt41018774/?hl=da]]></link>
<category domain="https://appagg.com/macos/?hl=da"><![CDATA[macOS Apps]]></category>
<category domain="https://appagg.com/macos/productivity/?hl=da"><![CDATA[Produktivitet]]></category>
<description><![CDATA[<b>Handling:</b> +1 point&nbsp;&nbsp;<br />
<b>Bruger:</b> <a href="https://appagg.com/users/181167/?hl=da">Alan</a>&nbsp;&nbsp;<br />
<b>Dato tilføjet:</b> 2026-01-25 13:59:10 UTC&nbsp;&nbsp;<br />



<br />
<b>Pris:</b>


  Gratis


 (IAP)



&nbsp;&nbsp;<br />
<b>Lister:</b>

  0

+ 1
&nbsp;&nbsp;<br />
<b>Point:</b>

  <a href="https://appagg.com/points/rt41018774/?hl=da">8</a>

+ 0
&nbsp;&nbsp;<br />
<b>Rangeringer:</b>

  0

&nbsp;&nbsp;<br />
<b>Kommentarer:</b>

  0

&nbsp;&nbsp;<br />
<b>Version:</b> 2.0&nbsp;&nbsp;<br />
<b>Ved:</b>
<a href="https://appagg.com/developer/xiaoguang-yan/?hl=da">Xiaoguang Yan</a>
&nbsp;&nbsp;<br />
<b>Opdateret:</b>
2026-04-23 20:22:02 UTC&nbsp;&nbsp;<br />

  <b>Udgivelsesdato:</b> 2025-09-04 07:00:00 UTC&nbsp;&nbsp;<br />

<b>Kategori:</b>
<a href="https://appagg.com/macos/?hl=da">macOS Apps</a>
&rsaquo;
<a href="https://appagg.com/macos/productivity/?hl=da">Produktivitet</a>
&nbsp;
<p>
  <img
    border="0"
    align="center"
    height="200"
    src="https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/46/f1/cb/46f1cb14-921e-2834-521e-0ebbc91a4f81/01_hero.png/950x950bb.jpg"
    alt="StatDataViewer - 2.0 - (macOS)"
  />
</p>

  <b>Beskrivelse:</b>&nbsp;<br />
  StatDataViewer is a convenient tool to help SAS users to view SAS datasets. High performance and much faster than SAS Universal Viewer Flexible and efficient dataset filter system, ...&nbsp;<br /><br />


  <b>Nyheder:</b>&nbsp;<br />
  Version 2.0 is a major update rebuilt for Apple Silicon.<br /><br />  NEW FORMAT SUPPORT<br />  • R: .rds and RData files, with integrated R session inspection<br />  • SPSS: .sav files<br />  • Stata: .dta files<br />  • JMP files<br />  • CDISC Dataset-JSON and Define-XML<br />  • PDF preview, DOCX, RTF, plain text<br /><br />  WORKSPACE REDESIGN<br />  • Color-tagged libraries to group related datasets by project<br />  • Pin files and folders for one-click access<br />  • Live folder watching — datasets refresh automatically when files change on disk<br />  • Library metadata dashboard<br /><br />  PERFORMANCE<br />  • Native Apple Silicon universal binary — noticeably faster loads on M-series Macs<br />  • Incremental row loading for multi-million-row datasets<br />  • Rewritten filter engine with three input modes<br /><br />  NEW EDITORS<br />  • SAS program editor: syntax highlighting, bookmarks, find-in-files, comment/uncomment, go-to-line, zoom<br />  • R program editor with live R session execution<br />  • Split-pane views for comparing two datasets side by side<br /><br />  PRIVACY & SECURITY<br />  • Updated macOS sandbox integration using security-scoped bookmarks<br />  • iCloud-aware file access<br /><br />  INTERNATIONALIZATION<br />  • Added Traditional Chinese, Japanese, Korean, French, Spanish, Dutch (alongside English and Simplified Chinese)<br /><br />  QUALITY OF LIFE<br />  • Refined dark mode<br />  • Dock window modes for different workflows<br />  • Toggle read-only, word wrap, zoom controls<br />  • Enhanced shortcut keys panel with searchable reference<br /><br />  Version 2.0 is a free upgrade for all existing users. Thank you for your continued support.&nbsp;<br /><br />

<b>AppAgg:</b>&nbsp;<br />
[&nbsp;<a href="https://appagg.com/macos/productivity/statdataviewer-41018774.html?hl=da"><b>StatDataViewer</b></a>&nbsp;]
<br /><br />
<a href="https://www.youtube.com/@AppsAgg?sub_confirmation=1" target="_blank">❤️ Support AppAgg →</a><br />
]]></description>
<pubDate>Sun, 25 Jan 2026 13:59:10 GMT</pubDate>
</item>

<item>
<title><![CDATA[+1 point - (ved: sam) - StatDataViewer (macOS Apps)]]></title>
<guid isPermaLink="false"><![CDATA[points:1137393]]></guid>
<link><![CDATA[https://appagg.com/points/rt41018774/?hl=da]]></link>
<category domain="https://appagg.com/macos/?hl=da"><![CDATA[macOS Apps]]></category>
<category domain="https://appagg.com/macos/productivity/?hl=da"><![CDATA[Produktivitet]]></category>
<description><![CDATA[<b>Handling:</b> +1 point&nbsp;&nbsp;<br />
<b>Bruger:</b> <a href="https://appagg.com/users/147506/?hl=da">sam</a>&nbsp;&nbsp;<br />
<b>Dato tilføjet:</b> 2026-01-25 05:13:38 UTC&nbsp;&nbsp;<br />



<br />
<b>Pris:</b>


  Gratis


 (IAP)



&nbsp;&nbsp;<br />
<b>Lister:</b>

  0

+ 1
&nbsp;&nbsp;<br />
<b>Point:</b>

  <a href="https://appagg.com/points/rt41018774/?hl=da">8</a>

+ 0
&nbsp;&nbsp;<br />
<b>Rangeringer:</b>

  0

&nbsp;&nbsp;<br />
<b>Kommentarer:</b>

  0

&nbsp;&nbsp;<br />
<b>Version:</b> 2.0&nbsp;&nbsp;<br />
<b>Ved:</b>
<a href="https://appagg.com/developer/xiaoguang-yan/?hl=da">Xiaoguang Yan</a>
&nbsp;&nbsp;<br />
<b>Opdateret:</b>
2026-04-23 20:22:02 UTC&nbsp;&nbsp;<br />

  <b>Udgivelsesdato:</b> 2025-09-04 07:00:00 UTC&nbsp;&nbsp;<br />

<b>Kategori:</b>
<a href="https://appagg.com/macos/?hl=da">macOS Apps</a>
&rsaquo;
<a href="https://appagg.com/macos/productivity/?hl=da">Produktivitet</a>
&nbsp;
<p>
  <img
    border="0"
    align="center"
    height="200"
    src="https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/46/f1/cb/46f1cb14-921e-2834-521e-0ebbc91a4f81/01_hero.png/950x950bb.jpg"
    alt="StatDataViewer - 2.0 - (macOS)"
  />
</p>

  <b>Beskrivelse:</b>&nbsp;<br />
  StatDataViewer is a convenient tool to help SAS users to view SAS datasets. High performance and much faster than SAS Universal Viewer Flexible and efficient dataset filter system, ...&nbsp;<br /><br />


  <b>Nyheder:</b>&nbsp;<br />
  Version 2.0 is a major update rebuilt for Apple Silicon.<br /><br />  NEW FORMAT SUPPORT<br />  • R: .rds and RData files, with integrated R session inspection<br />  • SPSS: .sav files<br />  • Stata: .dta files<br />  • JMP files<br />  • CDISC Dataset-JSON and Define-XML<br />  • PDF preview, DOCX, RTF, plain text<br /><br />  WORKSPACE REDESIGN<br />  • Color-tagged libraries to group related datasets by project<br />  • Pin files and folders for one-click access<br />  • Live folder watching — datasets refresh automatically when files change on disk<br />  • Library metadata dashboard<br /><br />  PERFORMANCE<br />  • Native Apple Silicon universal binary — noticeably faster loads on M-series Macs<br />  • Incremental row loading for multi-million-row datasets<br />  • Rewritten filter engine with three input modes<br /><br />  NEW EDITORS<br />  • SAS program editor: syntax highlighting, bookmarks, find-in-files, comment/uncomment, go-to-line, zoom<br />  • R program editor with live R session execution<br />  • Split-pane views for comparing two datasets side by side<br /><br />  PRIVACY & SECURITY<br />  • Updated macOS sandbox integration using security-scoped bookmarks<br />  • iCloud-aware file access<br /><br />  INTERNATIONALIZATION<br />  • Added Traditional Chinese, Japanese, Korean, French, Spanish, Dutch (alongside English and Simplified Chinese)<br /><br />  QUALITY OF LIFE<br />  • Refined dark mode<br />  • Dock window modes for different workflows<br />  • Toggle read-only, word wrap, zoom controls<br />  • Enhanced shortcut keys panel with searchable reference<br /><br />  Version 2.0 is a free upgrade for all existing users. Thank you for your continued support.&nbsp;<br /><br />

<b>AppAgg:</b>&nbsp;<br />
[&nbsp;<a href="https://appagg.com/macos/productivity/statdataviewer-41018774.html?hl=da"><b>StatDataViewer</b></a>&nbsp;]
<br /><br />
<a href="https://www.youtube.com/@AppsAgg?sub_confirmation=1" target="_blank">❤️ Support AppAgg →</a><br />
]]></description>
<pubDate>Sun, 25 Jan 2026 05:13:38 GMT</pubDate>
</item>

<item>
<title><![CDATA[+1 point - (ved: Rocky4812) - StatDataViewer (macOS Apps)]]></title>
<guid isPermaLink="false"><![CDATA[points:1137344]]></guid>
<link><![CDATA[https://appagg.com/points/rt41018774/?hl=da]]></link>
<category domain="https://appagg.com/macos/?hl=da"><![CDATA[macOS Apps]]></category>
<category domain="https://appagg.com/macos/productivity/?hl=da"><![CDATA[Produktivitet]]></category>
<description><![CDATA[<b>Handling:</b> +1 point&nbsp;&nbsp;<br />
<b>Bruger:</b> <a href="https://appagg.com/users/360177/?hl=da">Rocky4812</a>&nbsp;&nbsp;<br />
<b>Dato tilføjet:</b> 2026-01-25 03:18:04 UTC&nbsp;&nbsp;<br />



<br />
<b>Pris:</b>


  Gratis


 (IAP)



&nbsp;&nbsp;<br />
<b>Lister:</b>

  0

+ 1
&nbsp;&nbsp;<br />
<b>Point:</b>

  <a href="https://appagg.com/points/rt41018774/?hl=da">8</a>

+ 0
&nbsp;&nbsp;<br />
<b>Rangeringer:</b>

  0

&nbsp;&nbsp;<br />
<b>Kommentarer:</b>

  0

&nbsp;&nbsp;<br />
<b>Version:</b> 2.0&nbsp;&nbsp;<br />
<b>Ved:</b>
<a href="https://appagg.com/developer/xiaoguang-yan/?hl=da">Xiaoguang Yan</a>
&nbsp;&nbsp;<br />
<b>Opdateret:</b>
2026-04-23 20:22:02 UTC&nbsp;&nbsp;<br />

  <b>Udgivelsesdato:</b> 2025-09-04 07:00:00 UTC&nbsp;&nbsp;<br />

<b>Kategori:</b>
<a href="https://appagg.com/macos/?hl=da">macOS Apps</a>
&rsaquo;
<a href="https://appagg.com/macos/productivity/?hl=da">Produktivitet</a>
&nbsp;
<p>
  <img
    border="0"
    align="center"
    height="200"
    src="https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/46/f1/cb/46f1cb14-921e-2834-521e-0ebbc91a4f81/01_hero.png/950x950bb.jpg"
    alt="StatDataViewer - 2.0 - (macOS)"
  />
</p>

  <b>Beskrivelse:</b>&nbsp;<br />
  StatDataViewer is a convenient tool to help SAS users to view SAS datasets. High performance and much faster than SAS Universal Viewer Flexible and efficient dataset filter system, ...&nbsp;<br /><br />


  <b>Nyheder:</b>&nbsp;<br />
  Version 2.0 is a major update rebuilt for Apple Silicon.<br /><br />  NEW FORMAT SUPPORT<br />  • R: .rds and RData files, with integrated R session inspection<br />  • SPSS: .sav files<br />  • Stata: .dta files<br />  • JMP files<br />  • CDISC Dataset-JSON and Define-XML<br />  • PDF preview, DOCX, RTF, plain text<br /><br />  WORKSPACE REDESIGN<br />  • Color-tagged libraries to group related datasets by project<br />  • Pin files and folders for one-click access<br />  • Live folder watching — datasets refresh automatically when files change on disk<br />  • Library metadata dashboard<br /><br />  PERFORMANCE<br />  • Native Apple Silicon universal binary — noticeably faster loads on M-series Macs<br />  • Incremental row loading for multi-million-row datasets<br />  • Rewritten filter engine with three input modes<br /><br />  NEW EDITORS<br />  • SAS program editor: syntax highlighting, bookmarks, find-in-files, comment/uncomment, go-to-line, zoom<br />  • R program editor with live R session execution<br />  • Split-pane views for comparing two datasets side by side<br /><br />  PRIVACY & SECURITY<br />  • Updated macOS sandbox integration using security-scoped bookmarks<br />  • iCloud-aware file access<br /><br />  INTERNATIONALIZATION<br />  • Added Traditional Chinese, Japanese, Korean, French, Spanish, Dutch (alongside English and Simplified Chinese)<br /><br />  QUALITY OF LIFE<br />  • Refined dark mode<br />  • Dock window modes for different workflows<br />  • Toggle read-only, word wrap, zoom controls<br />  • Enhanced shortcut keys panel with searchable reference<br /><br />  Version 2.0 is a free upgrade for all existing users. Thank you for your continued support.&nbsp;<br /><br />

<b>AppAgg:</b>&nbsp;<br />
[&nbsp;<a href="https://appagg.com/macos/productivity/statdataviewer-41018774.html?hl=da"><b>StatDataViewer</b></a>&nbsp;]
<br /><br />
<a href="https://www.youtube.com/@AppsAgg?sub_confirmation=1" target="_blank">❤️ Support AppAgg →</a><br />
]]></description>
<pubDate>Sun, 25 Jan 2026 03:18:04 GMT</pubDate>
</item>

<item>
<title><![CDATA[+1 point - (ved: Study Planner) - StatDataViewer (macOS Apps)]]></title>
<guid isPermaLink="false"><![CDATA[points:1119754]]></guid>
<link><![CDATA[https://appagg.com/points/rt41018774/?hl=da]]></link>
<category domain="https://appagg.com/macos/?hl=da"><![CDATA[macOS Apps]]></category>
<category domain="https://appagg.com/macos/productivity/?hl=da"><![CDATA[Produktivitet]]></category>
<description><![CDATA[<b>Handling:</b> +1 point&nbsp;&nbsp;<br />
<b>Bruger:</b> <a href="https://appagg.com/users/684503/?hl=da">Study Planner</a>&nbsp;&nbsp;<br />
<b>Dato tilføjet:</b> 2026-01-12 19:27:11 UTC&nbsp;&nbsp;<br />



<br />
<b>Pris:</b>


  Gratis


 (IAP)



&nbsp;&nbsp;<br />
<b>Lister:</b>

  0

+ 1
&nbsp;&nbsp;<br />
<b>Point:</b>

  <a href="https://appagg.com/points/rt41018774/?hl=da">8</a>

+ 0
&nbsp;&nbsp;<br />
<b>Rangeringer:</b>

  0

&nbsp;&nbsp;<br />
<b>Kommentarer:</b>

  0

&nbsp;&nbsp;<br />
<b>Version:</b> 2.0&nbsp;&nbsp;<br />
<b>Ved:</b>
<a href="https://appagg.com/developer/xiaoguang-yan/?hl=da">Xiaoguang Yan</a>
&nbsp;&nbsp;<br />
<b>Opdateret:</b>
2026-04-23 20:22:02 UTC&nbsp;&nbsp;<br />

  <b>Udgivelsesdato:</b> 2025-09-04 07:00:00 UTC&nbsp;&nbsp;<br />

<b>Kategori:</b>
<a href="https://appagg.com/macos/?hl=da">macOS Apps</a>
&rsaquo;
<a href="https://appagg.com/macos/productivity/?hl=da">Produktivitet</a>
&nbsp;
<p>
  <img
    border="0"
    align="center"
    height="200"
    src="https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/46/f1/cb/46f1cb14-921e-2834-521e-0ebbc91a4f81/01_hero.png/950x950bb.jpg"
    alt="StatDataViewer - 2.0 - (macOS)"
  />
</p>

  <b>Beskrivelse:</b>&nbsp;<br />
  StatDataViewer is a convenient tool to help SAS users to view SAS datasets. High performance and much faster than SAS Universal Viewer Flexible and efficient dataset filter system, ...&nbsp;<br /><br />


  <b>Nyheder:</b>&nbsp;<br />
  Version 2.0 is a major update rebuilt for Apple Silicon.<br /><br />  NEW FORMAT SUPPORT<br />  • R: .rds and RData files, with integrated R session inspection<br />  • SPSS: .sav files<br />  • Stata: .dta files<br />  • JMP files<br />  • CDISC Dataset-JSON and Define-XML<br />  • PDF preview, DOCX, RTF, plain text<br /><br />  WORKSPACE REDESIGN<br />  • Color-tagged libraries to group related datasets by project<br />  • Pin files and folders for one-click access<br />  • Live folder watching — datasets refresh automatically when files change on disk<br />  • Library metadata dashboard<br /><br />  PERFORMANCE<br />  • Native Apple Silicon universal binary — noticeably faster loads on M-series Macs<br />  • Incremental row loading for multi-million-row datasets<br />  • Rewritten filter engine with three input modes<br /><br />  NEW EDITORS<br />  • SAS program editor: syntax highlighting, bookmarks, find-in-files, comment/uncomment, go-to-line, zoom<br />  • R program editor with live R session execution<br />  • Split-pane views for comparing two datasets side by side<br /><br />  PRIVACY & SECURITY<br />  • Updated macOS sandbox integration using security-scoped bookmarks<br />  • iCloud-aware file access<br /><br />  INTERNATIONALIZATION<br />  • Added Traditional Chinese, Japanese, Korean, French, Spanish, Dutch (alongside English and Simplified Chinese)<br /><br />  QUALITY OF LIFE<br />  • Refined dark mode<br />  • Dock window modes for different workflows<br />  • Toggle read-only, word wrap, zoom controls<br />  • Enhanced shortcut keys panel with searchable reference<br /><br />  Version 2.0 is a free upgrade for all existing users. Thank you for your continued support.&nbsp;<br /><br />

<b>AppAgg:</b>&nbsp;<br />
[&nbsp;<a href="https://appagg.com/macos/productivity/statdataviewer-41018774.html?hl=da"><b>StatDataViewer</b></a>&nbsp;]
<br /><br />
<a href="https://www.youtube.com/@AppsAgg?sub_confirmation=1" target="_blank">❤️ Support AppAgg →</a><br />
]]></description>
<pubDate>Mon, 12 Jan 2026 19:27:11 GMT</pubDate>
</item>

<item>
<title><![CDATA[+1 point - (ved: Dragon) - StatDataViewer (macOS Apps)]]></title>
<guid isPermaLink="false"><![CDATA[points:1119718]]></guid>
<link><![CDATA[https://appagg.com/points/rt41018774/?hl=da]]></link>
<category domain="https://appagg.com/macos/?hl=da"><![CDATA[macOS Apps]]></category>
<category domain="https://appagg.com/macos/productivity/?hl=da"><![CDATA[Produktivitet]]></category>
<description><![CDATA[<b>Handling:</b> +1 point&nbsp;&nbsp;<br />
<b>Bruger:</b> <a href="https://appagg.com/users/306398/?hl=da">Dragon</a>&nbsp;&nbsp;<br />
<b>Dato tilføjet:</b> 2026-01-12 18:47:08 UTC&nbsp;&nbsp;<br />



<br />
<b>Pris:</b>


  Gratis


 (IAP)



&nbsp;&nbsp;<br />
<b>Lister:</b>

  0

+ 1
&nbsp;&nbsp;<br />
<b>Point:</b>

  <a href="https://appagg.com/points/rt41018774/?hl=da">8</a>

+ 0
&nbsp;&nbsp;<br />
<b>Rangeringer:</b>

  0

&nbsp;&nbsp;<br />
<b>Kommentarer:</b>

  0

&nbsp;&nbsp;<br />
<b>Version:</b> 2.0&nbsp;&nbsp;<br />
<b>Ved:</b>
<a href="https://appagg.com/developer/xiaoguang-yan/?hl=da">Xiaoguang Yan</a>
&nbsp;&nbsp;<br />
<b>Opdateret:</b>
2026-04-23 20:22:02 UTC&nbsp;&nbsp;<br />

  <b>Udgivelsesdato:</b> 2025-09-04 07:00:00 UTC&nbsp;&nbsp;<br />

<b>Kategori:</b>
<a href="https://appagg.com/macos/?hl=da">macOS Apps</a>
&rsaquo;
<a href="https://appagg.com/macos/productivity/?hl=da">Produktivitet</a>
&nbsp;
<p>
  <img
    border="0"
    align="center"
    height="200"
    src="https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/46/f1/cb/46f1cb14-921e-2834-521e-0ebbc91a4f81/01_hero.png/950x950bb.jpg"
    alt="StatDataViewer - 2.0 - (macOS)"
  />
</p>

  <b>Beskrivelse:</b>&nbsp;<br />
  StatDataViewer is a convenient tool to help SAS users to view SAS datasets. High performance and much faster than SAS Universal Viewer Flexible and efficient dataset filter system, ...&nbsp;<br /><br />


  <b>Nyheder:</b>&nbsp;<br />
  Version 2.0 is a major update rebuilt for Apple Silicon.<br /><br />  NEW FORMAT SUPPORT<br />  • R: .rds and RData files, with integrated R session inspection<br />  • SPSS: .sav files<br />  • Stata: .dta files<br />  • JMP files<br />  • CDISC Dataset-JSON and Define-XML<br />  • PDF preview, DOCX, RTF, plain text<br /><br />  WORKSPACE REDESIGN<br />  • Color-tagged libraries to group related datasets by project<br />  • Pin files and folders for one-click access<br />  • Live folder watching — datasets refresh automatically when files change on disk<br />  • Library metadata dashboard<br /><br />  PERFORMANCE<br />  • Native Apple Silicon universal binary — noticeably faster loads on M-series Macs<br />  • Incremental row loading for multi-million-row datasets<br />  • Rewritten filter engine with three input modes<br /><br />  NEW EDITORS<br />  • SAS program editor: syntax highlighting, bookmarks, find-in-files, comment/uncomment, go-to-line, zoom<br />  • R program editor with live R session execution<br />  • Split-pane views for comparing two datasets side by side<br /><br />  PRIVACY & SECURITY<br />  • Updated macOS sandbox integration using security-scoped bookmarks<br />  • iCloud-aware file access<br /><br />  INTERNATIONALIZATION<br />  • Added Traditional Chinese, Japanese, Korean, French, Spanish, Dutch (alongside English and Simplified Chinese)<br /><br />  QUALITY OF LIFE<br />  • Refined dark mode<br />  • Dock window modes for different workflows<br />  • Toggle read-only, word wrap, zoom controls<br />  • Enhanced shortcut keys panel with searchable reference<br /><br />  Version 2.0 is a free upgrade for all existing users. Thank you for your continued support.&nbsp;<br /><br />

<b>AppAgg:</b>&nbsp;<br />
[&nbsp;<a href="https://appagg.com/macos/productivity/statdataviewer-41018774.html?hl=da"><b>StatDataViewer</b></a>&nbsp;]
<br /><br />
<a href="https://www.youtube.com/@AppsAgg?sub_confirmation=1" target="_blank">❤️ Support AppAgg →</a><br />
]]></description>
<pubDate>Mon, 12 Jan 2026 18:47:08 GMT</pubDate>
</item>

<item>
<title><![CDATA[+1 point - (ved: Reshen Wone) - StatDataViewer (macOS Apps)]]></title>
<guid isPermaLink="false"><![CDATA[points:1119361]]></guid>
<link><![CDATA[https://appagg.com/points/rt41018774/?hl=da]]></link>
<category domain="https://appagg.com/macos/?hl=da"><![CDATA[macOS Apps]]></category>
<category domain="https://appagg.com/macos/productivity/?hl=da"><![CDATA[Produktivitet]]></category>
<description><![CDATA[<b>Handling:</b> +1 point&nbsp;&nbsp;<br />
<b>Bruger:</b> <a href="https://appagg.com/users/690229/?hl=da">Reshen Wone</a>&nbsp;&nbsp;<br />
<b>Dato tilføjet:</b> 2026-01-12 13:08:43 UTC&nbsp;&nbsp;<br />



<br />
<b>Pris:</b>


  Gratis


 (IAP)



&nbsp;&nbsp;<br />
<b>Lister:</b>

  0

+ 1
&nbsp;&nbsp;<br />
<b>Point:</b>

  <a href="https://appagg.com/points/rt41018774/?hl=da">8</a>

+ 0
&nbsp;&nbsp;<br />
<b>Rangeringer:</b>

  0

&nbsp;&nbsp;<br />
<b>Kommentarer:</b>

  0

&nbsp;&nbsp;<br />
<b>Version:</b> 2.0&nbsp;&nbsp;<br />
<b>Ved:</b>
<a href="https://appagg.com/developer/xiaoguang-yan/?hl=da">Xiaoguang Yan</a>
&nbsp;&nbsp;<br />
<b>Opdateret:</b>
2026-04-23 20:22:02 UTC&nbsp;&nbsp;<br />

  <b>Udgivelsesdato:</b> 2025-09-04 07:00:00 UTC&nbsp;&nbsp;<br />

<b>Kategori:</b>
<a href="https://appagg.com/macos/?hl=da">macOS Apps</a>
&rsaquo;
<a href="https://appagg.com/macos/productivity/?hl=da">Produktivitet</a>
&nbsp;
<p>
  <img
    border="0"
    align="center"
    height="200"
    src="https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/46/f1/cb/46f1cb14-921e-2834-521e-0ebbc91a4f81/01_hero.png/950x950bb.jpg"
    alt="StatDataViewer - 2.0 - (macOS)"
  />
</p>

  <b>Beskrivelse:</b>&nbsp;<br />
  StatDataViewer is a convenient tool to help SAS users to view SAS datasets. High performance and much faster than SAS Universal Viewer Flexible and efficient dataset filter system, ...&nbsp;<br /><br />


  <b>Nyheder:</b>&nbsp;<br />
  Version 2.0 is a major update rebuilt for Apple Silicon.<br /><br />  NEW FORMAT SUPPORT<br />  • R: .rds and RData files, with integrated R session inspection<br />  • SPSS: .sav files<br />  • Stata: .dta files<br />  • JMP files<br />  • CDISC Dataset-JSON and Define-XML<br />  • PDF preview, DOCX, RTF, plain text<br /><br />  WORKSPACE REDESIGN<br />  • Color-tagged libraries to group related datasets by project<br />  • Pin files and folders for one-click access<br />  • Live folder watching — datasets refresh automatically when files change on disk<br />  • Library metadata dashboard<br /><br />  PERFORMANCE<br />  • Native Apple Silicon universal binary — noticeably faster loads on M-series Macs<br />  • Incremental row loading for multi-million-row datasets<br />  • Rewritten filter engine with three input modes<br /><br />  NEW EDITORS<br />  • SAS program editor: syntax highlighting, bookmarks, find-in-files, comment/uncomment, go-to-line, zoom<br />  • R program editor with live R session execution<br />  • Split-pane views for comparing two datasets side by side<br /><br />  PRIVACY & SECURITY<br />  • Updated macOS sandbox integration using security-scoped bookmarks<br />  • iCloud-aware file access<br /><br />  INTERNATIONALIZATION<br />  • Added Traditional Chinese, Japanese, Korean, French, Spanish, Dutch (alongside English and Simplified Chinese)<br /><br />  QUALITY OF LIFE<br />  • Refined dark mode<br />  • Dock window modes for different workflows<br />  • Toggle read-only, word wrap, zoom controls<br />  • Enhanced shortcut keys panel with searchable reference<br /><br />  Version 2.0 is a free upgrade for all existing users. Thank you for your continued support.&nbsp;<br /><br />

<b>AppAgg:</b>&nbsp;<br />
[&nbsp;<a href="https://appagg.com/macos/productivity/statdataviewer-41018774.html?hl=da"><b>StatDataViewer</b></a>&nbsp;]
<br /><br />
<a href="https://www.youtube.com/@AppsAgg?sub_confirmation=1" target="_blank">❤️ Support AppAgg →</a><br />
]]></description>
<pubDate>Mon, 12 Jan 2026 13:08:43 GMT</pubDate>
</item>

<item>
<title><![CDATA[+1 point - (ved: Lu Chin) - StatDataViewer (macOS Apps)]]></title>
<guid isPermaLink="false"><![CDATA[points:1118596]]></guid>
<link><![CDATA[https://appagg.com/points/rt41018774/?hl=da]]></link>
<category domain="https://appagg.com/macos/?hl=da"><![CDATA[macOS Apps]]></category>
<category domain="https://appagg.com/macos/productivity/?hl=da"><![CDATA[Produktivitet]]></category>
<description><![CDATA[<b>Handling:</b> +1 point&nbsp;&nbsp;<br />
<b>Bruger:</b> <a href="https://appagg.com/users/678753/?hl=da">Lu Chin</a>&nbsp;&nbsp;<br />
<b>Dato tilføjet:</b> 2026-01-12 01:56:17 UTC&nbsp;&nbsp;<br />



<br />
<b>Pris:</b>


  Gratis


 (IAP)



&nbsp;&nbsp;<br />
<b>Lister:</b>

  0

+ 1
&nbsp;&nbsp;<br />
<b>Point:</b>

  <a href="https://appagg.com/points/rt41018774/?hl=da">8</a>

+ 0
&nbsp;&nbsp;<br />
<b>Rangeringer:</b>

  0

&nbsp;&nbsp;<br />
<b>Kommentarer:</b>

  0

&nbsp;&nbsp;<br />
<b>Version:</b> 2.0&nbsp;&nbsp;<br />
<b>Ved:</b>
<a href="https://appagg.com/developer/xiaoguang-yan/?hl=da">Xiaoguang Yan</a>
&nbsp;&nbsp;<br />
<b>Opdateret:</b>
2026-04-23 20:22:02 UTC&nbsp;&nbsp;<br />

  <b>Udgivelsesdato:</b> 2025-09-04 07:00:00 UTC&nbsp;&nbsp;<br />

<b>Kategori:</b>
<a href="https://appagg.com/macos/?hl=da">macOS Apps</a>
&rsaquo;
<a href="https://appagg.com/macos/productivity/?hl=da">Produktivitet</a>
&nbsp;
<p>
  <img
    border="0"
    align="center"
    height="200"
    src="https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/46/f1/cb/46f1cb14-921e-2834-521e-0ebbc91a4f81/01_hero.png/950x950bb.jpg"
    alt="StatDataViewer - 2.0 - (macOS)"
  />
</p>

  <b>Beskrivelse:</b>&nbsp;<br />
  StatDataViewer is a convenient tool to help SAS users to view SAS datasets. High performance and much faster than SAS Universal Viewer Flexible and efficient dataset filter system, ...&nbsp;<br /><br />


  <b>Nyheder:</b>&nbsp;<br />
  Version 2.0 is a major update rebuilt for Apple Silicon.<br /><br />  NEW FORMAT SUPPORT<br />  • R: .rds and RData files, with integrated R session inspection<br />  • SPSS: .sav files<br />  • Stata: .dta files<br />  • JMP files<br />  • CDISC Dataset-JSON and Define-XML<br />  • PDF preview, DOCX, RTF, plain text<br /><br />  WORKSPACE REDESIGN<br />  • Color-tagged libraries to group related datasets by project<br />  • Pin files and folders for one-click access<br />  • Live folder watching — datasets refresh automatically when files change on disk<br />  • Library metadata dashboard<br /><br />  PERFORMANCE<br />  • Native Apple Silicon universal binary — noticeably faster loads on M-series Macs<br />  • Incremental row loading for multi-million-row datasets<br />  • Rewritten filter engine with three input modes<br /><br />  NEW EDITORS<br />  • SAS program editor: syntax highlighting, bookmarks, find-in-files, comment/uncomment, go-to-line, zoom<br />  • R program editor with live R session execution<br />  • Split-pane views for comparing two datasets side by side<br /><br />  PRIVACY & SECURITY<br />  • Updated macOS sandbox integration using security-scoped bookmarks<br />  • iCloud-aware file access<br /><br />  INTERNATIONALIZATION<br />  • Added Traditional Chinese, Japanese, Korean, French, Spanish, Dutch (alongside English and Simplified Chinese)<br /><br />  QUALITY OF LIFE<br />  • Refined dark mode<br />  • Dock window modes for different workflows<br />  • Toggle read-only, word wrap, zoom controls<br />  • Enhanced shortcut keys panel with searchable reference<br /><br />  Version 2.0 is a free upgrade for all existing users. Thank you for your continued support.&nbsp;<br /><br />

<b>AppAgg:</b>&nbsp;<br />
[&nbsp;<a href="https://appagg.com/macos/productivity/statdataviewer-41018774.html?hl=da"><b>StatDataViewer</b></a>&nbsp;]
<br /><br />
<a href="https://www.youtube.com/@AppsAgg?sub_confirmation=1" target="_blank">❤️ Support AppAgg →</a><br />
]]></description>
<pubDate>Mon, 12 Jan 2026 01:56:17 GMT</pubDate>
</item>

<item>
<title><![CDATA[+1 point - (ved: Simon Chan) - StatDataViewer (macOS Apps)]]></title>
<guid isPermaLink="false"><![CDATA[points:1118478]]></guid>
<link><![CDATA[https://appagg.com/points/rt41018774/?hl=da]]></link>
<category domain="https://appagg.com/macos/?hl=da"><![CDATA[macOS Apps]]></category>
<category domain="https://appagg.com/macos/productivity/?hl=da"><![CDATA[Produktivitet]]></category>
<description><![CDATA[<b>Handling:</b> +1 point&nbsp;&nbsp;<br />
<b>Bruger:</b> <a href="https://appagg.com/users/112493/?hl=da">Simon Chan</a>&nbsp;&nbsp;<br />
<b>Dato tilføjet:</b> 2026-01-11 22:49:51 UTC&nbsp;&nbsp;<br />



<br />
<b>Pris:</b>


  Gratis


 (IAP)



&nbsp;&nbsp;<br />
<b>Lister:</b>

  0

+ 1
&nbsp;&nbsp;<br />
<b>Point:</b>

  <a href="https://appagg.com/points/rt41018774/?hl=da">8</a>

+ 0
&nbsp;&nbsp;<br />
<b>Rangeringer:</b>

  0

&nbsp;&nbsp;<br />
<b>Kommentarer:</b>

  0

&nbsp;&nbsp;<br />
<b>Version:</b> 2.0&nbsp;&nbsp;<br />
<b>Ved:</b>
<a href="https://appagg.com/developer/xiaoguang-yan/?hl=da">Xiaoguang Yan</a>
&nbsp;&nbsp;<br />
<b>Opdateret:</b>
2026-04-23 20:22:02 UTC&nbsp;&nbsp;<br />

  <b>Udgivelsesdato:</b> 2025-09-04 07:00:00 UTC&nbsp;&nbsp;<br />

<b>Kategori:</b>
<a href="https://appagg.com/macos/?hl=da">macOS Apps</a>
&rsaquo;
<a href="https://appagg.com/macos/productivity/?hl=da">Produktivitet</a>
&nbsp;
<p>
  <img
    border="0"
    align="center"
    height="200"
    src="https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/46/f1/cb/46f1cb14-921e-2834-521e-0ebbc91a4f81/01_hero.png/950x950bb.jpg"
    alt="StatDataViewer - 2.0 - (macOS)"
  />
</p>

  <b>Beskrivelse:</b>&nbsp;<br />
  StatDataViewer is a convenient tool to help SAS users to view SAS datasets. High performance and much faster than SAS Universal Viewer Flexible and efficient dataset filter system, ...&nbsp;<br /><br />


  <b>Nyheder:</b>&nbsp;<br />
  Version 2.0 is a major update rebuilt for Apple Silicon.<br /><br />  NEW FORMAT SUPPORT<br />  • R: .rds and RData files, with integrated R session inspection<br />  • SPSS: .sav files<br />  • Stata: .dta files<br />  • JMP files<br />  • CDISC Dataset-JSON and Define-XML<br />  • PDF preview, DOCX, RTF, plain text<br /><br />  WORKSPACE REDESIGN<br />  • Color-tagged libraries to group related datasets by project<br />  • Pin files and folders for one-click access<br />  • Live folder watching — datasets refresh automatically when files change on disk<br />  • Library metadata dashboard<br /><br />  PERFORMANCE<br />  • Native Apple Silicon universal binary — noticeably faster loads on M-series Macs<br />  • Incremental row loading for multi-million-row datasets<br />  • Rewritten filter engine with three input modes<br /><br />  NEW EDITORS<br />  • SAS program editor: syntax highlighting, bookmarks, find-in-files, comment/uncomment, go-to-line, zoom<br />  • R program editor with live R session execution<br />  • Split-pane views for comparing two datasets side by side<br /><br />  PRIVACY & SECURITY<br />  • Updated macOS sandbox integration using security-scoped bookmarks<br />  • iCloud-aware file access<br /><br />  INTERNATIONALIZATION<br />  • Added Traditional Chinese, Japanese, Korean, French, Spanish, Dutch (alongside English and Simplified Chinese)<br /><br />  QUALITY OF LIFE<br />  • Refined dark mode<br />  • Dock window modes for different workflows<br />  • Toggle read-only, word wrap, zoom controls<br />  • Enhanced shortcut keys panel with searchable reference<br /><br />  Version 2.0 is a free upgrade for all existing users. Thank you for your continued support.&nbsp;<br /><br />

<b>AppAgg:</b>&nbsp;<br />
[&nbsp;<a href="https://appagg.com/macos/productivity/statdataviewer-41018774.html?hl=da"><b>StatDataViewer</b></a>&nbsp;]
<br /><br />
<a href="https://www.youtube.com/@AppsAgg?sub_confirmation=1" target="_blank">❤️ Support AppAgg →</a><br />
]]></description>
<pubDate>Sun, 11 Jan 2026 22:49:51 GMT</pubDate>
</item>

</channel>
</rss>
