User guide

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addVANTAGE Pro 6.2 User Guide CHAPTER 4
The Trend Viewer
If you want to add values to the table, right-click in the table and select Add new
values to display the dialog shown in Figure 43.
Figure 43. Adding a Value in the Table View
Say you manually recorded values in addition to the u’s values. You can add
them to the table by following these steps:
1. Select the tag (that is, the Tag) from the dropdown.
If you right-clicked a column in the table view, that tag is displayed by
default.
2. Select the date and time (Timestamp) for the first new value.
3. The Duration defaults to the recording interval for the selected tag’s values.
Change this duration if needed.
4. Enter the Value and click Add.
The dialog remains, but the timestamp moves to the interval shown in the
Duration field.
5. Enter any other new values, clicking Add each time.
6. When you’ve entered all the values, click Close.
The table will redisplay with the manual values you’ve just entered
highlighted in red.
Note: If you entered values that already existed for the timestamp you selected, they
will overwrite the table’s values as manual entries.
ASCII Export on the fly
While viewing data in the table view you can easily export all or part of it into an
ASCII format file. In the graphical view, you can export only all of the data.
Method 1: Exporting all the data
1. Right-click in the body of the table.
2. Choose Export from the menu that appears.
3. Depending on your browser, you can open and/or save the file on your
computer. The default name of this file is
value.txt, which you should
replace with a more meaningful name.
4. You can now open this file with any text editor or software such as Excel or
OOo.Calc
Figure 44. Export All Data from Table View
The values exported are not limited to the values you can currently see on the
screen. This tool will export all the data that you could see in the initial table
view, with the start date as shown in the calendar, and the amount of data as
shown in the Span area (List 12 on page 31). Look at the example above. What
we export in Figure 44 is the data as can be seen in Figure 42: 1 week
(calendar), beginning on January 17.