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    <pubDate>Wed, 11 Jun 2014 22:23:02 GMT</pubDate>
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    <dc:date>2014-06-11T22:23:02Z</dc:date>
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      <title>What is the most practical way to structure a big data for Tableau?</title>
      <link>https://community.tableau.com/thread/144278</link>
      <description>&lt;!-- [DocumentBodyStart:70db2092-5588-4fde-ade8-01be0b4cb340] --&gt;&lt;div class="jive-rendered-content"&gt;&lt;p&gt;I have a big data and am struggling with structuring to an appropriate form to tackle it with Tableau. I would really appreciate some help here. I included a representative sample from it in the excel attached.&lt;/p&gt;&lt;p style="min-height: 8pt; padding: 0px;"&gt;&amp;#160;&lt;/p&gt;&lt;table border="0" cellpadding="0" cellspacing="0" style="width: 507px;"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="xl67" height="20" style="border:0px solid black;" width="64"&gt;&lt;/td&gt;&lt;td class="xl67" style="border:0px solid black;" width="64"&gt;&lt;/td&gt;&lt;td class="xl67" style="border:0px solid black;" width="95"&gt;SalesWeek&lt;/td&gt;&lt;td class="xl66" style="border:0px solid black;" width="71"&gt;W6&lt;/td&gt;&lt;td class="xl67" style="border:0px solid black;" width="71"&gt;W7&lt;/td&gt;&lt;td class="xl67" style="border:0px solid black;" width="71"&gt;W8&lt;/td&gt;&lt;td class="xl68" style="border:0px solid black;" width="71"&gt;W9&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="xl70" height="20" style="border:0px solid black;"&gt;Family&lt;/td&gt;&lt;td class="xl70" style="border:0px solid black;border-left-style: none;border-left-width: medium;border-left-color: currentColor;"&gt;Machine&lt;/td&gt;&lt;td class="xl70" style="border:0px solid black;border-left-style: none;border-left-width: medium;border-left-color: currentColor;"&gt;ForecastWeek&lt;/td&gt;&lt;td class="xl69" style="border:0px solid black;"&gt;W2&lt;/td&gt;&lt;td class="xl70" style="border:0px solid black;border-left-style: none;border-left-width: medium;border-left-color: currentColor;"&gt;W2&lt;/td&gt;&lt;td class="xl70" style="border:0px solid black;border-left-style: none;border-left-width: medium;border-left-color: currentColor;"&gt;W2&lt;/td&gt;&lt;td class="xl71" style="border:0px solid black;border-left-style: none;border-left-width: medium;border-left-color: currentColor;"&gt;W2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="xl73" height="20" style="border:0px solid black;"&gt;BT1&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;Xc&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;forecast&lt;/td&gt;&lt;td class="xl72" style="border:0px solid black;"&gt;61&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;62&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;62&lt;/td&gt;&lt;td class="xl74" style="border:0px solid black;"&gt;61&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="xl76" height="20" style="border:0px solid black;"&gt;BT1&lt;/td&gt;&lt;td class="xl76" style="border:0px solid black;"&gt;Xc&lt;/td&gt;&lt;td class="xl76" style="border:0px solid black;"&gt;sales&lt;/td&gt;&lt;td class="xl75" style="border:0px solid black;"&gt;50&lt;/td&gt;&lt;td class="xl76" style="border:0px solid black;"&gt;5&lt;/td&gt;&lt;td class="xl76" style="border:0px solid black;"&gt;3&lt;/td&gt;&lt;td class="xl77" style="border:0px solid black;"&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="xl73" height="20" style="border:0px solid black;"&gt;BT1&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;Xo&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;forecast&lt;/td&gt;&lt;td class="xl72" style="border:0px solid black;"&gt;45&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;45&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;45&lt;/td&gt;&lt;td class="xl74" style="border:0px solid black;"&gt;45&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="xl76" height="20" style="border:0px solid black;"&gt;BT1&lt;/td&gt;&lt;td class="xl76" style="border:0px solid black;"&gt;Xo&lt;/td&gt;&lt;td class="xl76" style="border:0px solid black;"&gt;sales&lt;/td&gt;&lt;td class="xl75" style="border:0px solid black;"&gt;44&lt;/td&gt;&lt;td class="xl76" style="border:0px solid black;"&gt;40&lt;/td&gt;&lt;td class="xl76" style="border:0px solid black;"&gt;42&lt;/td&gt;&lt;td class="xl77" style="border:0px solid black;"&gt;39&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="xl73" height="20" style="border:0px solid black;"&gt;BT2&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;Gt&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;forecast&lt;/td&gt;&lt;td class="xl72" style="border:0px solid black;"&gt;28&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;29&lt;/td&gt;&lt;td class="xl73" style="border:0px solid black;"&gt;28&lt;/td&gt;&lt;td class="xl74" style="border:0px solid black;"&gt;28&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="xl79" height="21" style="border:0px solid black;"&gt;BT2&lt;/td&gt;&lt;td class="xl79" style="border:0px solid black;"&gt;Gt&lt;/td&gt;&lt;td class="xl79" style="border:0px solid black;"&gt;sales&lt;/td&gt;&lt;td class="xl78" style="border:0px solid black;"&gt;22&lt;/td&gt;&lt;td class="xl79" style="border:0px solid black;"&gt;17&lt;/td&gt;&lt;td class="xl79" style="border:0px solid black;"&gt;9&lt;/td&gt;&lt;td class="xl80" style="border:0px solid black;"&gt;17&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;p&gt;&lt;br/&gt;The attached file shows a flat table that belongs to weekly forecasts and sales for machines. For sales weeks (W6 to W9), I have multiple versions of forecasts made on forecast weeks (W2 to W5). I am trying to analyse performance of different versions of the forecasts at Family or Machine level.&lt;/p&gt;&lt;p style="min-height: 8pt; padding: 0px;"&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;How should I structure this data? I tried putting weekly forecasts to separate worksheets, and sales as a separate sheet. The challenge is there are 500+ machines, and over 10+ weeks of forecast versios exploding the dimensionality making this an intractable choice&amp;hellip;&lt;/p&gt;&lt;p style="min-height: 8pt; padding: 0px;"&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Thank you!&lt;/p&gt;&lt;p style="min-height: 8pt; padding: 0px;"&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Iso&lt;/p&gt;&lt;/div&gt;&lt;!-- [DocumentBodyEnd:70db2092-5588-4fde-ade8-01be0b4cb340] --&gt;</description>
      <category domain="https://community.tableau.com/tags#/?containerType=14&amp;container=2003">forecast</category>
      <category domain="https://community.tableau.com/tags#/?containerType=14&amp;container=2003">structure</category>
      <pubDate>Wed, 11 Jun 2014 22:23:02 GMT</pubDate>
      <author>tableaucommunity@tableau.com</author>
      <guid>https://community.tableau.com/thread/144278</guid>
      <dc:date>2014-06-11T22:23:02Z</dc:date>
      <clearspace:dateToText>5 years 2 weeks ago</clearspace:dateToText>
      <clearspace:replyCount>3</clearspace:replyCount>
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