X-Git-Url: https://adrianiainlam.tk/git/?a=blobdiff_plain;ds=sidebyside;f=docs%2Findex.html;h=59ac6ad587eacc0a1dbaa0f0c317a1427ff7db71;hb=e71332d66382629c5014aa75d7c5f23b8686d9ff;hp=87165a76c7aab5de46cff8a0a75479379dc5b2f0;hpb=7ffbfdc111a8ec9b48c33d9c831432b32732f996;p=dygraphs.git diff --git a/docs/index.html b/docs/index.html index 87165a7..59ac6ad 100644 --- a/docs/index.html +++ b/docs/index.html @@ -1,14 +1,31 @@
+ + +http://github.com/danvk/dygraphs
-See mailing list, downloads, gallery and open issues
+See blog, mailing list, downloads, demos and open issues
dygraphs is an open source JavaScript library that produces produces interactive, zoomable charts of time series. It is designed to display dense data sets and enable users to explore and interpret them.
@@ -72,8 +101,6 @@(Mouse over to highlight individual values. Click and drag to zoom. Double-click to zoom back out. Change the number and hit enter to adjust the averaging period.)
-dygraphs allows the user to explore the data and discover these facts.
-For more demos, browse the dygraph tests directory.
+For more demos, browse the dygraph tests + directory. To see other people who are using dygraphs, check out the known users.
Some of the features of dygraphs:
In order to keep this example self-contained, the second parameter is raw CSV data. The dygraphs library parses this data (including column headers), resizes the its container to a reasonable default, calculates appropriate axis ranges and tick marks and draws the graph.
+In order to keep this example self-contained, the second parameter is raw CSV data. The dygraphs library parses this data (including column headers), resizes its container to a reasonable default, calculates appropriate axis ranges and tick marks and draws the graph.
In most applications, it makes more sense to include a CSV file instead. If the second parameter to the constructor doesn't contain a newline, it will be interpreted as the path to a CSV file. The Dygraph will perform an XMLHttpRequest to retrieve this file and display the data when it becomes available. Make sure your CSV file is readable and serving from a place that understands XMLHttpRequest's! In particular, you cannot specify a CSV file using "file:///"
. Here's an example: (data from Weather Underground)