Difference between revisions of "Automatic Updates"
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| + | Time series data is all about change. Typically | ||
| + | Today's Web is filled with Open Data - hundreds of authoritative, original data sources, freely accessible to everyone. | ||
| + | |||
| + | Before dataZoa, the actual practice of using Open Data sources was time-consuming, messy and painful. A major portion of time was wasted on "data drudgery"; cleaning, aligning, pasting, re-typing and such. All before any real thought or analysis could begin. | ||
| + | |||
| + | dataZoa solves this problem head-on, with its radically simple Drag, Build, and Share approach. | ||
| + | |||
| + | The promise of Open Data is that we can actively incorporate these sources into our day-to-day business and policy decisions. | ||
| + | |||
| + | As you bring data into dataZoa, it is <i>harmonized</i> (or "normalized") so that any series can work with any other. While we preserve all the original series documentation, we load the dates and values into an idealized time series. This automatically handles the specific nuances of time series data, elimination the "data drudgery"; cleaning, aligning, pasting, re-typing and such. | ||
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==Data== | ==Data== | ||
| + | <div> | ||
| + | </div> | ||
==Displays== | ==Displays== | ||
| − | + | <div> | |
| + | </div> | ||
==Calculations== | ==Calculations== | ||
| + | <div> | ||
| + | </div> | ||
Revision as of 14:21, 12 January 2017
Time series data is all about change. Typically Today's Web is filled with Open Data - hundreds of authoritative, original data sources, freely accessible to everyone.
Before dataZoa, the actual practice of using Open Data sources was time-consuming, messy and painful. A major portion of time was wasted on "data drudgery"; cleaning, aligning, pasting, re-typing and such. All before any real thought or analysis could begin.
dataZoa solves this problem head-on, with its radically simple Drag, Build, and Share approach.
The promise of Open Data is that we can actively incorporate these sources into our day-to-day business and policy decisions.
As you bring data into dataZoa, it is harmonized (or "normalized") so that any series can work with any other. While we preserve all the original series documentation, we load the dates and values into an idealized time series. This automatically handles the specific nuances of time series data, elimination the "data drudgery"; cleaning, aligning, pasting, re-typing and such.
