X-Git-Url: https://adrianiainlam.tk/git/?a=blobdiff_plain;f=docs%2Fusers.html;h=0f362c5a4c07210dfeaa0f2dd3b5877db0b900dd;hb=ac928d203b05de4a8d43ad89667347865e98bb7c;hp=ca554172777ab3f40bda92da8c790fbbd6e6822b;hpb=144034416d8119387dbdc3ce689d7b9fa4b2a0ee;p=dygraphs.git diff --git a/docs/users.html b/docs/users.html index ca55417..0f362c5 100644 --- a/docs/users.html +++ b/docs/users.html @@ -80,9 +80,37 @@ ([1], [2]). -
  • NOAA Great Lakes Water Level Dashboard
    - The Great Lakes Water Level dashboard was designed to help users view, understand, and compare Great Lakes surface water elevation data and forecasts from a variety of different sources, and across a variety of time scales ranging from monthly average values, to annual and multi-decadal values. First developed in Adobe Flash, a HTML 5 compatible version has been in the works and a functional draft is available here.
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  • + NOAA Great Lakes Dashboard
    + + The Great Lakes Dashboard provides user-friendly + access to aggregated time series data, model output, and forecasts for + multiple variables describing the Great Lakes along with background + information. First developed in Adobe Flash, a HTML 5 compatible version + has been in the works and a functional draft is available here. + +
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  • + HowManyDiapers.com
    + + HowManyDiapers.com is a free tool for estimating diaper use and sizes for any infant, in any time period. + Using the baby’s percentile by weight (from the CDC growth chart), it plots out how much the baby is likely + to weigh in the future, then checks with the manufacturer’s sizing charts to determine best diaper fit. + Dygraphs are used in the results page, to display the growth curve and sizing changes (using annotations). + +
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  • + USGS CIDA/GCMRC River Sediment and Discharge
    + + The Center for Integrated Data Analytics (CIDA) is using Dygraphs to display timeseries data + collected at USGS gage stations, most prominently on the Colorado River through the Grand + Canyon. Dygraphs performance was essential for interacting with years of dense timeseries + data in the browser. (View the code!) + +
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    Are you using dygraphs? Please let Dan know and he'll add your link here!