Difference between revisions of "Toolbar Area"
From dataZoa Wiki
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<div class="imgSnippetWrap1 "><div class="imgSnippet " title="Toolbar Left (data-related)" data-styler="{ view: '111', style: ' width: 259px; height: 55px; background: url(SQ/img/DocSamples/snap11.pngSQ) scroll -219px -1px; background-repeat: no-repeat; ' }"></div></div><div class="Gtac Gvam" style="font-weight: bold;"><div class="Gdib" style="width: 33%;">Web</div><div class="Gdib" style="width: 33%;">Upload/Update</div><div class="Gdib" style="width: 33%;">Corkboard</div></div> | <div class="imgSnippetWrap1 "><div class="imgSnippet " title="Toolbar Left (data-related)" data-styler="{ view: '111', style: ' width: 259px; height: 55px; background: url(SQ/img/DocSamples/snap11.pngSQ) scroll -219px -1px; background-repeat: no-repeat; ' }"></div></div><div class="Gtac Gvam" style="font-weight: bold;"><div class="Gdib" style="width: 33%;">Web</div><div class="Gdib" style="width: 33%;">Upload/Update</div><div class="Gdib" style="width: 33%;">Corkboard</div></div> | ||
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Revision as of 10:36, 26 January 2017
Web Upload/Update Corkboard |
- The first pair of tools help you get data from the World Wide Web into dataZoa. The drop target is the spot where you release data series dragged from other sites right into dataZoa. The global index opens an index to a wide variety of data sources.
- The second pair of tools are used to upload and edit your own data series.
- Finally, the push pin represents the dZCorkboard, a handy way to maintain your series, whatever their origins.
Housekeeping Tools
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The housekeeping tools to the right are used to access various features and settings:
- dZBoards
- dZSlates
- Home to the Standard Tabs
- Help
- Account Profile and Preferences
- Logout
Notifications Area
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The notifications area shows you any incoming messages you should be aware of. From top to bottom, the three stacked icons represent:
- dataZoa system messages, like scheduled maintenance
- Messages from other users, such as when they share data with you
- Information about your own account, e.g. when a lengthy data fetch has completed