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    <title>topic Re: Non-numeric Pass/Fail Rate Analysis in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10736#M10367</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think the key to your analysis is "data prep work".&amp;nbsp; Meaning that you if you had a table that had a %pass for each x-y coordinate then you could use any number of graphics to explore your data.&amp;nbsp; I would recode your pass/fail column to a numeric column with 0 = fail and 1 = pass.&amp;nbsp; Then you can summarize your table (your x and y go into the "Group" and then you want the mean for the P/F column.&amp;nbsp; Once you have that table try graph builder with x = x, y = y and the mean column (%pass) as the color and try the contour or heat map from there.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;Karen&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Sat, 31 Jan 2015 20:41:08 GMT</pubDate>
    <dc:creator>KarenC</dc:creator>
    <dc:date>2015-01-31T20:41:08Z</dc:date>
    <item>
      <title>Non-numeric Pass/Fail Rate Analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10735#M10366</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;I'm a long time JMP user, but a first time poster.&amp;nbsp; &lt;SPAN style="font-size: 9pt; line-height: 1.5em;"&gt;I’ve searched and searched and cannot find a means to analyze data the way I’d really like.&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;Attached is an Example data table that I’m using.&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;For my specific example, each “ID” has ~700 unique X/Y coordinate locations.&amp;nbsp; And each one of those X/Y coordinate locations is tested for Pass/Fail.&amp;nbsp; (Pass = “.”; Fail = “F”).&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;Ideally, I’d like:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;A Contour Plot, with a color gradient associated to the Pass and/or Fail rate for all ID’s.&amp;nbsp; (e.g. if -9/+13 passes 1% of the time it would be blue, and if -9/+14 passes 99% of the time it would be red).&lt;/LI&gt;&lt;LI&gt;Or a 3-dimensional chart indicating pass/fail rates similar to above.&lt;/LI&gt;&lt;LI&gt;Or, if I can convert my X/Y coordinates into a distance-like measurement (radius, for example), a plot of Pass/Fail rate vs. distance.&lt;/LI&gt;&lt;/UL&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;The Example data table I have here (~30k rows) is a relative small subset of my larger data table (&amp;gt;&amp;gt;1 million rows).&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;Although I'm not opposed to working with scripts, can JMP do the above without scripts?&amp;nbsp; That is, does JMP have built-in functions to accomplish this task?&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;&lt;/P&gt;&lt;P style="font-size: 9pt; font-family: Tahoma, sans-serif; color: #222222;"&gt;Help or advice is much appreciated.&amp;nbsp; Thanks.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 31 Jan 2015 01:05:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10735#M10366</guid>
      <dc:creator>nldavis</dc:creator>
      <dc:date>2015-01-31T01:05:01Z</dc:date>
    </item>
    <item>
      <title>Re: Non-numeric Pass/Fail Rate Analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10736#M10367</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think the key to your analysis is "data prep work".&amp;nbsp; Meaning that you if you had a table that had a %pass for each x-y coordinate then you could use any number of graphics to explore your data.&amp;nbsp; I would recode your pass/fail column to a numeric column with 0 = fail and 1 = pass.&amp;nbsp; Then you can summarize your table (your x and y go into the "Group" and then you want the mean for the P/F column.&amp;nbsp; Once you have that table try graph builder with x = x, y = y and the mean column (%pass) as the color and try the contour or heat map from there.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;Karen&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 31 Jan 2015 20:41:08 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10736#M10367</guid>
      <dc:creator>KarenC</dc:creator>
      <dc:date>2015-01-31T20:41:08Z</dc:date>
    </item>
    <item>
      <title>Re: Non-numeric Pass/Fail Rate Analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10737#M10368</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;JMP appears to automatically interpret the Pass/Fail as a binary variable and show the proportion of "F" for each coordinate without summarizing. Recoding 0/1 gives the same result.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Set X and Y to Ordinal data type to get a heat map as below.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="7984_heatmap.png" style="width: 560px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/1164i9A024BB282652C26/image-size/medium?v=v2&amp;amp;px=400" role="button" title="7984_heatmap.png" alt="7984_heatmap.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 18 Oct 2016 22:26:15 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10737#M10368</guid>
      <dc:creator>ms</dc:creator>
      <dc:date>2016-10-18T22:26:15Z</dc:date>
    </item>
    <item>
      <title>Re: Non-numeric Pass/Fail Rate Analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10738#M10369</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you very much.&amp;nbsp; This works beautifully.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 02 Feb 2015 17:31:52 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Non-numeric-Pass-Fail-Rate-Analysis/m-p/10738#M10369</guid>
      <dc:creator>nldavis</dc:creator>
      <dc:date>2015-02-02T17:31:52Z</dc:date>
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