Data Series - Revision history

Khackenmiller: /* Creating a Data Series */

2015-03-25T18:08:19Z

‎Creating a Data Series

Khackenmiller: /* Instructions */

2015-02-10T18:57:09Z

‎Instructions

Khackenmiller: /* Instructions */

2015-02-10T18:50:40Z

‎Instructions

Khackenmiller: /* Instructions */

2014-08-05T17:53:26Z

‎Instructions

Kpaul830 at 20:32, 24 July 2014

2014-07-24T20:32:30Z

Kpaul830: /* Instructions */

2014-07-24T20:25:09Z

‎Instructions

Kpaul830: /* Instructions */

2014-07-24T20:23:38Z

‎Instructions

Kpaul830: /* Creating a Data Series */

2014-07-24T20:20:30Z

‎Creating a Data Series

Khackenmiller at 19:38, 18 July 2014

2014-07-18T19:38:54Z

Khackenmiller at 19:38, 18 July 2014

2014-07-18T19:38:06Z

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 ==Creating a Data Series==
-Data series are the foundation of LiveDC. The data gathered in each data series can be pushed to LiveTiles, graphs, maps, executive reports, operational cost reports, etc. Data series can gather data in many different ways. The LiveDC platform can collect data by leveraging common protocols such as SNMPv1, HTTP URL scrapes, dynamic sets, trends, formulas, record counts, and by manually inputting the data. In a nutshell, data series are the foundational component of LiveDC and tie everything together throughout the LiveDC platform. Information you need to know before setting up a data series:
+Data series are the foundation of LiveDC. The data gathered in each data series can be pushed to LiveTiles, graphs, maps, executive reports, operational cost reports, etc. Data series can gather data in many different ways. The LiveDC platform can collect data by leveraging common protocols such as SNMPv1, HTTP URL scrapes, dynamic sets, trends, formulas, record counts, and by manually inputting the data. In a nutshell, data series tie everything together throughout the LiveDC platform. Information you need to know before setting up a data series:
 *Name of the data series - usually contains cabinet location, row, etc.
 *Whether the data is a number or text - most often we utilize numbers
 *What format you would like the number to return as - Amps, kW, Fahrenheit, $, etc.
-*How often you would like to collect the data - 5mins, 15 mins, 1 hour, 1 day, etc.
+*How often you would like to collect the data - 5 mins, 15 mins, 1 hour, 1 day, etc.
-*How you would like to collect the data - SNMP, HTTP, manual
+*How you would like to collect the data - SNMP, manual, formula, trend, etc.

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                <li>Operation - Average, Count, Maximum, Median, Minimum, Sum</li>
                <li>Enter minimum and maximum values if you want to apply restrictions to the calculations.  Leave them blank for no restrictions.  You can change the red x to green check marks if you want to include the exact values entered for minimum or maximum values.</li>
                <li>Adjustment Expression</li>
              </ol>
@@ Line 70: / Line 73: @@
                <li>Data series to trend. Select from the drop down menu or create a new “Data Series to Trend” record by clicking the star button (See [[Create a Data Series|Creating a Data Series]] section for instructions)</li>
                <li>Trend template: Select from the drop down menu or create a new “Trend Template” record by clicking the star button (See [[Extras#Creating a Trend Template|Creating a Trend Template]] section for instructions)</li>
                <li>Adjustment Expression</li>
              </ol>

@@ Line 39: / Line 39: @@
                <li>Inclusion - All, Any</li>
                <li>Tags: Select from the drop down menu and click the left-hand facing arrow or create a new “Tag” record by clicking the star button (See [[Extras#Creating Tags|Creating Tags]] section for instructions)</li>
-               <li>Operation - Average, Maximum, Median, Minimum, Sum</li>
+               <li>Operation - Average, Count, Maximum, Median, Minimum, Sum</li>
                <li>Adjustment Expression</li>
              </ol>

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 </ol>
      </ol>
 ==Cloning a Data Series==

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                <li>Adjustment Expression</li>
              </ol>
-           <li>If you select “Formula” you will need to fill in additional information. A formula data series allows you to apply logic to a number of data series, for example Difference of Power in Cabinet 1 and Cabinet 2 would take these two data series and subtract them from each other to give you one data point. The additional information needed is:</li>
+           <li>If you select “Formula” you will need to fill in additional information. A formula data series allows you to apply logic to a number of data series. For example, difference of power in cabinet 1 and cabinet 2 would take these two data series and subtract them from each other to give you one data point. The additional information needed is:</li>
              <ol type="A">
                <li>Data points start date</li>
@@ Line 64: / Line 64: @@
                <li>SNMP OID</li>
              </ol>
-           <li>If you select “Trend” you will need to fill in additional information. A trend data series allows you to look at a standard data series over a period of time, for example if you had the power of a cabinet over the last year you could set up a trend data series to use the power data series and look at a trend over the last 3 months. The additional information needed is:</li>
+           <li>If you select “Trend” you will need to fill in additional information. A trend data series allows you to look at a standard data series over a period of time. For example, if you had the power of a cabinet over the last year you could set up a trend data series to use the power data series and look at a trend over the last 3 months. The additional information needed is:</li>
              <ol type="A">
                <li>Data points start date</li>
@@ Line 90: / Line 90: @@
 <ol>
    <li>If you are already in the “Create Data Series” window skip to step 4. If you are not in that window continue to step 2.</li>
-   <li>On the navigation menu (left-hand side) click “Data” and click “Data Series”, this will open a new tab titled “Data Series”</li>
+   <li>On the navigation menu (left-hand side) click “Data” and click “Data Series,” this will open a new tab titled “Data Series”</li>
-   <li>Highlight the desired Data Series that is associated with the new Data Series desired to Clone. Within the Data Series tab, in the upper left-hand corner click the “Clone” button. A new window will open titled “Edit Data Series”. The following line items will be auto-filled in the Data Series window:</li>
+   <li>Highlight the desired data series that is associated with the new data series desired to clone. Within the data series tab (upper left-hand corner) click the “Clone” button. A new window will open titled “Edit Data Series.”  The following line items will be auto-filled in the data series window:</li>
      <ol type="a">
        <li>Tags</li>

@@ Line 32: / Line 32: @@
          </ol>
        <li>Select the “Timing Template” from the drop down menu or create a new “Timing Template” record by clicking the star button (see [[Extras#Creating a Timing Template|Creating a Timing Template]] section for instructions)</li>
-       <li>Select the appropriate poll type based on how your data will be collected. If you select Manual you can proceed to step g.</li>
+       <li>Select the appropriate poll type based on how your data will be collected. If you select "Manual" you can proceed to step g.</li>
          <ol type="i">
            <li>If you select “Dynamic Set” you will need to fill in additional information. A dynamic set allows you to perform a function on a set of data which is categorized by tags.  For example, average cold aisle temperature would take all data series with the tag "cold aisle" and average them out to give you one data point. The additional information needed is:</li>

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 ==Creating a Data Series==
-Data series are the foundation of LiveDC. The data gathered in each data series can be pushed to LiveTile's, graphs, maps, executive reports, operational cost reports, etc. Data series can gather data in many different ways. The LiveDC platform can collect data by leveraging common protocols such as SNMPv1, HTTP URL scrapes, dynamic sets, trends, formulas, record counts, and by manually inputting the data. In a nutshell, data series are the foundational component of LiveDC and tie everything together throughout the LiveDC platform. Information you need to know before setting up a data series:
+Data series are the foundation of LiveDC. The data gathered in each data series can be pushed to LiveTiles, graphs, maps, executive reports, operational cost reports, etc. Data series can gather data in many different ways. The LiveDC platform can collect data by leveraging common protocols such as SNMPv1, HTTP URL scrapes, dynamic sets, trends, formulas, record counts, and by manually inputting the data. In a nutshell, data series are the foundational component of LiveDC and tie everything together throughout the LiveDC platform. Information you need to know before setting up a data series:
 *Name of the data series - usually contains cabinet location, row, etc.
 *Whether the data is a number or text - most often we utilize numbers
@@ Line 13: / Line 13: @@
 ===Instructions===
 <ol>
-   <li>If you are already in the “Create Data Series” window skip to step 3a. If you are not in that window continue to step 2.</li>
+   <li>If you are already in the “Create Data Series” window skip to step 3a. If you are not in that window, continue to step 2.</li>
-   <li>On the navigation menu (left-hand side) click “Data” and click “Data Series”, this will open a new tab titled “Data Series”</li>
+   <li>On the navigation menu (left-hand side) click “Data” and click “Data Series.” This will open a new tab titled “Data Series.”</li>
-   <li>Within the Data Series tab, in the upper left-hand corner click the “Create”. A new window will open titled “Create Data Series”</li>
+   <li>Within the Data Series tab (upper left-hand corner) click “Create.” A new window will open titled “Create Data Series.”</li>
      <ol type="a">
        <li>In the “Name” field enter the title of the data series</li>
@@ Line 22: / Line 22: @@
          </ol>
        <li>Add additional information about the data series in the “Details” field</li>
-       <li>Select the tags that best describe your data series from the drop down menu and clicking the left-hand facing arrow or create a new “Tag” record by clicking on the star button (See [[Extras#Creating Tags|Creating Tags]] section for instructions)</li>
+       <li>Select the tags that best describe your data series from the drop down menu and click the left-hand facing arrow or create a new “Tag” record by clicking on the star button (See [[Extras#Creating Tags|Creating Tags]] section for instructions)</li>
          <ol type="i">
            <li>To remove a tag from a data series select the tag and click the right-hand facing arrow</li>
@@ Line 29: / Line 29: @@
        <li>Select the type of data you want to collect from the drop down list in the “Data Type” field (Date, Number or Text - number is the most commonly used)</li>
          <ol type="i">
-           <li>If you select data type “Number” you will need to select a number format template you want to apply to your data. Pick a template from the drop down menu or create a new “Number Format Template” record by clicking the star button (See [[Extras#Creating a Number Format Template|Creating a Number Format Template]] section for instructions)</li>
+           <li>If you select data type “Number,” you will need to select a number format template you want to apply to your data. Pick a template from the drop down menu or create a new “Number Format Template” record by clicking the star button (see [[Extras#Creating a Number Format Template|Creating a Number Format Template]] section for instructions).</li>
          </ol>
-       <li>Select the “Timing Template” from the drop down menu or create a new “Timing Template” record by clicking the star button (See [[Extras#Creating a Timing Template|Creating a Timing Template]] section for instructions))</li>
+       <li>Select the “Timing Template” from the drop down menu or create a new “Timing Template” record by clicking the star button (see [[Extras#Creating a Timing Template|Creating a Timing Template]] section for instructions))</li>
        <li>Select the appropriate poll type based on how your data will be collected. If you select manual you can proceed to step g.</li>
          <ol type="i">
-           <li>If you select “Dynamic Set” you will need to fill in additional information. A dynamic set allows you perform a function on a set of data which is categorized by tags, for example Average Cold Aisle temperature would take all data series with the tag "cold aisle" and average them out to give you one data point. The additional information needed is:</li>
+           <li>If you select “Dynamic Set” you will need to fill in additional information. A dynamic set allows you to perform a function on a set of data which is categorized by tags.  For example, average cold aisle temperature would take all data series with the tag "cold aisle" and average them out to give you one data point. The additional information needed is:</li>
              <ol type="A">
                <li>Data points start date</li>
@@ Line 83: / Line 83: @@
 </ol>
      </ol>
 ==Cloning a Data Series==