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Summary

DataDepot is a set of tools for collaboratively uploading, sharing, and analyzing data. You can use DataDepot to track personal data, to explore public data, and to engage with scientific data.

Blog your data

Want to 'datablog' your running miles or your commute times or your grocery spending? DataDepot provides a simple way to track any type of data over time. You can add data via the web or your phone, then annotate, view, analyze, and add related content to your data.

Below we see an example of someone datablogging commute times. Note that many of the data points have been annotated with keywords that allow the user to compare commute times across those keywords (e.g., 'solo' versus 'vanpool').



Datablogs can also be public, in the form of group tracks. Here a group of runners are all contributing their running miles to a group data track. Hovering over a particular user shows his or her individual data.

Visualize your data

Data are visualized over time in an interactive Silverlight graph object. You can zoom in on your data to see statistics for a particular time span and to compare to the overall dataset. In the example below, the user has zoomed in on a roughly two week time span of political polling data. Note that you can embed your data visualization in your own web content using the html provided in the 'Embed' text box.

Engage with data

Basic Statistical Overview
For each individual data track we provide a basic stastical overview, including an average, min and max, and standard deviation. For example, in the morning commute time datablog above, we see this person's commute averages 73 minutes, maxed out at 99 minutes, and has a standard deviation of 11 minutes.

Add related content
For each data page, you can add comments and wiki content. In the example below, we see wiki content a user has added to provide background and a data source for an environmental sensor dataset. You can also annotate any data point that you uploaded. Annotations can be text or some html.



Add an automated data source
Using our API, data can be added programmatically to create a 'sensor' that captures values for a data source as they change over time. Here we see a 'sensor' for the price of gas in the U.S. The political polling data shown above are also collected automatically every day using our API.



Findings
Once you navigate a data plot to a state of interest (e.g., to make a point about the data), you can annotate it with text by ctrl-clicking, then create a saved view of the data by giving your view a name and clicking 'Save View'. Your view will then appear in the 'Views' tab below the visualization. Each view has a unique URL, so you can reference it with a link in a comment or in the wiki for example.



Combining data
You can "mix and match" datasets by creating a combined track. To do so, click Create a Track at the top of any page, then select 'A track that combines existing tracks...'. Using the dialogue boxes, select as many tracks as you would like to include in your combined tracks, then complete the short wizard to finalize your combined track. Here we see an example of the Gas Prices data track combined with the Dow Jones Industrial Average.