From 6578e9be283b428dabee4421c1386167403e69a6 Mon Sep 17 00:00:00 2001 From: debadair Date: Fri, 30 Jan 2015 16:05:44 -0800 Subject: [PATCH] Added TFL-based examples to the intro. --- docs/introduction.asciidoc | 36 ++++++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) diff --git a/docs/introduction.asciidoc b/docs/introduction.asciidoc index 66db63e8be46..a1792bc14456 100644 --- a/docs/introduction.asciidoc +++ b/docs/introduction.asciidoc @@ -15,3 +15,39 @@ Elasticsearch indexes in minutes--no code, no additional infrastructure required === Data Discovery and Visualization +Let's take a look at how you might use Kibana to explore and visualize data. +We've indexed some data from Transport for London (TFL) that shows a week's +worth of transit (Oyster) card usage. + +From Kibana's Discover page, we can submit search queries, filter the results, and +examine the data in the returned documents. For example, we could search for all +of the trips that ended at the Baker Street station: + +image::images/TFL-BakerStreet.jpg[Discover] + +Right away, we can see that more people exit at Baker Street between 10:00 PM and 1:00 AM +than any other time of day. By default, the Discover page shows a time-series chart +and the first 500 entries that match the search criteria. You can change the time +filter, interact with the chart to drill down into the data, and view the details +of particular documents. For more information about exploring your data from the +Discover page, see <>. + +You can construct visualizations of your search results from the Visualization page. +Each visualization is associated with a search. For example, we can create a histogram +that shows the weekly London commute traffic via tube using a a search that excludes +incomplete trips and trips by bus. The Y-axis is the number of trips. The X-axis shows +the day and time. By adding a sub-aggregation, we can see the top 3 end stations during +each hour: + +image::images/TFL-CommuteHistogram.jpg[Visualize] + +You can save and share visualizations and add them to dashboards to make it easy +to monitor and share particular metrics. For example, we could create a dashboard +that displays several visualizations of the TFL data: + +image::images/TFL-Dashboard.jpg[Dashboard] + +For more information about creating and sharing visualizations, see <>. +For more information about working with Dashboards, see <>. + +