From c19beafc3c1652746a0b8b88d5f09363c09f073c Mon Sep 17 00:00:00 2001 From: Court Ewing Date: Tue, 25 Oct 2016 16:32:38 -0400 Subject: [PATCH] docs: Fix broken ES docs link in create vis docs There is no median aggregation, it's just the 50th percentile. --- docs/visualize.asciidoc | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/docs/visualize.asciidoc b/docs/visualize.asciidoc index f75bf1c6fd36a..1aa8076d578ea 100644 --- a/docs/visualize.asciidoc +++ b/docs/visualize.asciidoc @@ -5,7 +5,7 @@ -- _Visualize_ enables you to create visualizations of the data in your Elasticsearch indices. You can then build <> that -display related visualizations. +display related visualizations. Kibana visualizations are based on Elasticsearch queries. By using a series of Elasticsearch {es-ref}search-aggregations.html[aggregations] @@ -21,13 +21,13 @@ or start with a new search query. To create a visualization: -. Click on *Visualize* in the side navigation. +. Click on *Visualize* in the side navigation. . Choose the visualization type: + [horizontal] <>:: Visualize the total contribution of several different series. -<>:: Display the raw data of a composed aggregation. +<>:: Display the raw data of a composed aggregation. <>:: Compare different series. <>:: Display free-form information or instructions. @@ -36,17 +36,17 @@ instructions. <>:: Associate the results of an aggregation with geographic locations. Timeseries:: Compute and combine data from multiple time series -data sets. +data sets. <>:: Graph values in a bar chart. . Specify a search query to retrieve the data for your visualization: ** To enter new search criteria, select the index pattern for the indices that contain the data you want to visualize. This opens the visualization builder with a wildcard query that matches all of the documents in the selected -indices. +indices. ** To build a visualization from a saved search, click the name of the saved search you want to use. This opens the visualization builder and loads the -selected query. +selected query. + NOTE: When you build a visualization from a saved search, any subsequent modifications to the saved search are automatically reflected in the @@ -59,14 +59,14 @@ visualization's Y axis: * {es-ref}search-aggregations-metrics-valuecount-aggregation.html[count] * {es-ref}search-aggregations-metrics-avg-aggregation.html[average] * {es-ref}search-aggregations-metrics-sum-aggregation.html[sum] -* {es-ref}search-aggregations-metrics-median-aggregation.html[median] * {es-ref}search-aggregations-metrics-min-aggregation.html[min] * {es-ref}search-aggregations-metrics-max-aggregation.html[max] * {es-ref}search-aggregations-metrics-cardinality-aggregation.html[unique count] +* {es-ref}search-aggregations-metrics-percentile-aggregation.html[median] (50th percentile) * {es-ref}search-aggregations-metrics-percentile-aggregation.html[percentiles] * {es-ref}search-aggregations-metrics-percentile-rank-aggregation.html[percentile ranks] -. For the visualizations X axis, select a bucket aggregation: +. For the visualizations X axis, select a bucket aggregation: + * {es-ref}search-aggregations-bucket-datehistogram-aggregation.html[date histogram] * {es-ref}search-aggregations-bucket-range-aggregation.html[range] @@ -81,7 +81,7 @@ specifying a terms aggregation on the `geo.src` field: image::images/bar-terms-agg.jpg[] The y-axis shows the number of requests received from each country, and the -countries are displayed across the x-axis. +countries are displayed across the x-axis. Bar, line, or area chart visualizations use _metrics_ for the y-axis and _buckets_ for the x-axis. Buckets are analogous to SQL `GROUP BY` @@ -99,7 +99,7 @@ targeting. image::images/bar-terms-subagg.jpg[] -For more information about working with sub aggregations, see +For more information about working with sub aggregations, see https://www.elastic.co/blog/kibana-aggregation-execution-order-and-you[Kibana, Aggregation Execution Order, and You].