Kibana User Guide [4.2] » Visualize » Line Charts

Line Charts

线图

This chart’s Y axis is the metrics axis. The following aggregations are available for this axis:

这种图的Y轴是“数值”维度。这种图的数轴可以使用以下聚合：

Count 计数

The count aggregation returns a raw count of the elements in the selected index pattern.

索引模式中，元素的原始计数。

Average 平均值

This aggregation returns the average of a numeric field. Select a field from the drop-down.

一个数值字段的平均值，从下拉菜单中选择一个字段。

Sum 综合

The sum aggregation returns the total sum of a numeric field. Select a field from the drop-down.

一个数值字段的总和。

Min 最小值

The min aggregation returns the minimum value of a numeric field. Select a field from the drop-down.

一个数值字段的最小值。

Max 最大值

The max aggregation returns the maximum value of a numeric field. Select a field from the drop-down.

一个数值字段的最大值。

Unique Count 单一计数

The cardinality aggregation returns the number of unique values in a field. Select a field from the drop-down.

去重数据值。

Standard Deviation 标准差

The extended stats aggregation returns the standard deviation of data in a numeric field. Select a field from the drop-down.

一个数值字段的标准差

Percentiles 百分比

The percentile aggregation divides the values in a numeric field into percentile bands that you specify. Select a field from the drop-down, then specify one or more ranges in the Percentiles fields. Click the Xto remove a percentile field. Click + Add to add a percentile field.

一个数值字段中，值的百分比分布。使用X来移除一个百分比框，使用+ Add 来添加百分比框。

Percentile Rank 百分比排名

The percentile ranks aggregation returns the percentile rankings for the values in the numeric field you specify. Select a numeric field from the drop-down, then specify one or more percentile rank values in the Values fields. Click the X to remove a values field. Click +Add to add a values field.

一个数值字段中，你指定值得百分比排名。

You can add an aggregation by clicking the + Add Aggregation button.

通过+ Add Aggregation按钮增加一个聚集。

Before you choose a buckets aggregation, specify if you are splitting slices within a single chart or splitting into multiple charts. A multiple chart split must run before any other aggregations. When you split a chart, you can change if the splits are displayed in a row or a column by clicking the Rows | Columns selector.

在你选定一个 buckets 聚合之前，先指定你是要切割单个图的分片，还是切割成多个图形。多图切分必须在其他任何聚合之前要运行。如果你切分图形，你可以选择切分结果是展示成行还是列的形式，点击 Rows | Columns 选择器即可。

The X axis of this chart is the buckets axis. You can define buckets for the X axis, for a split area on the chart, or for split charts.

图形的 X 轴是buckets 维度。你可以为 X 轴定义 buckets，同样还可以为图片上的分片区域，或者分割的图片定义 buckets。

This chart’s X axis supports the following aggregations. Click the linked name of each aggregation to visit the main Elasticsearch documentation for that aggregation.

该图形的 X 轴支持以下聚合。点击每个聚合的链接查看该聚合的 Elasticsearch 官方文档。

Date Histogram 日期柱状图

A date histogram is built from a numeric field and organized by date. You can specify a time frame for the intervals in seconds, minutes, hours, days, weeks, months, or years. You can also specify a custom interval frame by selecting Custom as the interval and specifying a number and a time unit in the text field. Custom interval time units are s for seconds, m for minutes, h for hours, d for days, w for weeks, and y for years. Different units support different levels of precision, down to one second.

基于数值字段创建，由时间组织起来。你可以指定时间片的间隔，单位包括秒、分、小时、天、星期、月、年。

Histogram 柱状图

A standard histogram is built from a numeric field. Specify an integer interval for this field. Select theShow empty buckets checkbox to include empty intervals in the histogram.

基于数值字段创建，为这个字段指定一个整数间隔。勾选Show empty buckets让直方图中包含空的间隔。

Range 类别

With a range aggregation, you can specify ranges of values for a numeric field. Click Add Range to add a set of range endpoints. Click the red (x) symbol to remove a range.

可以为一个数值字段指定一系列区间，点击添加一对区间端点。点击红色的(x) 符合移除一个区间。

Date Range 日期类别

A date range aggregation reports values that are within a range of dates that you specify. You can specify the ranges for the dates using date math expressions. Click Add Range to add a set of range endpoints. Click the red (/) symbol to remove a range.

计算你指定的时间区间的值。可以使用data math表达式指定区间，点击Add Range添加新的区间端点，点击红色的 (/) 符号移除区间。

IPv4 Range IPv4类别

The IPv4 range aggregation enables you to specify ranges of IPv4 addresses. Click Add Range to add a set of range endpoints. Click the red (/) symbol to remove a range.

指定IPv4地址的区间，点击Add Range添加新的区间端点，点击红色的 (/) 符号移除区间。

Terms 条件

A terms aggregation enables you to specify the top or bottom n elements of a given field to display, ordered by count or a custom metric.

允许你指定展示一个字段的首尾几个元素，排序方式可以使计数，或者是其他自定义的metric。

Filters 过滤器

You can specify a set of filters for the data. You can specify a filter as a query string or in JSON format, just as in the Discover search bar. Click Add Filter to add another filter. Click the  label button to open the label field, where you can type in a name to display on the visualization.

你可以为数据指定一组filters，每个filters中可以用query string，也可以用JSON格式，就像在Discover页的搜索栏里一样。点击Add Filter添加下一个过滤器。

Significant Terms 有意义的条件

Displays the results of the experimental significant terms aggregation. 

展示有意义条件的结果。

Once you’ve specified a bucket type aggregation, you can define sub-aggregations to refine the visualization. Click + Add Sub Aggregation to define a sub-aggregation, then choose Split Rows or Split Table, then select a sub-aggregation from the list of types.

一旦你定义好了一个bucket类型聚合，可以继续定义子聚合来完善可视化效果。点击+  Add Sub Aggregation来定义子聚合，然后选择Split Rows 或者Split Table，并从类型菜单中选择一个子聚合。

When multiple aggregations are defined on a chart’s axis, you can use the up or down arrows to the right of the aggregation’s type to change the aggregation’s priority.

当一个图形中定义了多个聚合，你可以使用聚合类型右侧的上下箭头来改变聚合的优先级。

You can click the Advanced link to display more customization options for your metrics or bucket aggregation:

你可以点击Advanced 链接显示更多有关聚合的自定义函数：

Exclude Pattern 排除模式

Specify a pattern in this field to exclude from the results.

指定一个从结果集中排除掉的模式。

Exclude Pattern Flags 排除模式标志

A standard set of Java flags for the exclusion pattern.

排除模式的Java flags 标准集

Include Pattern 包含模式

Specify a pattern in this field to include in the results.

指定一个从结果集中要包含的模式

Include Pattern Flags 包含模式标志

A standard set of Java flags for the inclusion pattern.

包含模式的Java flags标准集

JSON Input JSON输入

A text field where you can add specific JSON-formatted properties to merge with the aggregation definition, as in the following example:

一个用来添加JSON格式属性的文本框，内容会合并进聚合的定义中，格式如下例：

{ "script" : "doc['grade'].value * 1.2" }

In Elasticsearch releases 1.4.3 and later, this functionality requires you to enable dynamic Groovy scripting.

在Elasticsearch 1.4.3及以后版本，这个函数需要你开启dynamic Groovy scripting。

The availability of these options varies depending on the aggregation you choose.

下面参数是否可用，取决于你选择的聚合函数。

Select the Options tab to change the following aspects of the chart:

选择Options 更改表格中如下方面：

Y-Axis Scale Y轴比例

You can select linear, log, or square root scales for the chart’s Y axis. You can use a log scale to display data that varies exponentially, such as a compounding interest chart, or a square root scale to regularize the display of data sets with variabilities that are themselves highly variable. This kind of data, where the variability is itself variable over the domain being examined, is known asheteroscedastic data. For example, if a data set of height versus weight has a relatively narrow range of variability at the short end of height, but a wider range at the taller end, the data set is heteroscedastic.

可以给图形的Y轴选择linear, log, 或 square root 三种比例。你可以给指数变化的数据采用log函数比例显示，比如复利图表；也可以用平方根比例显示数值变化差异极大的数据集。这种可变性本身也算是变量的一种数据，又叫异方差数据。比如，身高和体重 的数据集，在较矮的区间变化是很小的，但是在较高另一个区间，数据集就是异方差式的。

Smooth Lines 平滑曲线

Check this box to curve the line from point to point. Bear in mind that smoothed lines necessarily affect the representation of your data and create a potential for ambiguity.

勾选该项，将图中的数据点用平滑曲线连接。注意，平滑曲线在高峰低谷处给人的印象与实际值有较大偏差。

Show Connecting Lines 展示连接线

Check this box to draw lines between the points on the chart.

勾选该项，将图中的数据点用折线连接。

Show Circles 展现圆圈

Check this box to draw each data point on the chart as a small circle.

勾选该项，将图中的数据点绘制成一个小圆圈。

Current time marker 当前时序数据

For charts of time-series data, check this box to draw a red line on the current time.

对时序数据，勾选该项可以在当前时刻位置标记一条红线。

Set Y-Axis Extents 设置Y轴范围

Check this box and enter values in the y-max and y-min fields to set the Y axis to specific values.

勾选该项，然后在y-max 和 y-min框内输入数值限定Y轴为指定数值。

Show Tooltip 展现工具栏

Check this box to enable the display of tooltips.

勾选该项，展示工具栏。

Show Legend 展现图例

Check this box to enable the display of a legend next to the chart.

勾选该项，在图形右侧显示图例。

Scale Y-Axis to Data Bounds 设置Y轴的数据界限

The default Y-axis bounds are zero and the maximum value returned in the data. Check this box to change both upper and lower bounds to match the values returned in the data.、

默认的Y轴长度为0到数据集的最大值。勾选该项改变Y轴的最大和最小值为数据集的返回值。

After changing options, click the green Apply changes button to update your visualization, or the greyDiscard changes button to keep your visualization in its current state.

更改选项后，点击绿色 Apply changes 按钮更新可视化界面，或者灰色Discard changes按钮保持原状。

Bubble Charts 气泡图

You can convert a line chart visualization to a bubble chart by performing the following steps:

通过以下步骤，可以转换折线图成气泡图：

1. Click Add Metrics for the visualization’s Y axis, then select Dot Size. 为Y轴点击 Add Metrics 然后选择 Dot Size。
2. Select a metric aggregation from the drop-down list.从下拉框里选择一个 metric 聚合函数。
3. In the Options tab, uncheck the Show Connecting Lines box.在Options标签里，去掉Show Connecting Lines的勾选。
4. Click the Apply changes button.点击 Apply changes按钮。

Viewing Detailed Information 查看详细信息

To display the raw data behind the visualization, click the bar at the bottom of the container. Tabs with detailed information about the raw data replace the visualization:

想要展现可视化背后的原始数据，可以点击容器底部的条。关于原始数据的详细信息标签将取代可视化。

Table. A representation of the underlying data, presented as a paginated data grid. You can sort the items in the table by clicking on the table headers at the top of each column.

表：对下划线数据的代表，以标页数据格的形式展现。你可以对表中数据线排序，通过点击每个柱顶的表头。

Request. The raw request used to query the server, presented in JSON format.

请求：原始请求被用于请求服务器，以JSON形式展现。

Response. The raw response from the server, presented in JSON format.

响应：来自服务器的原始应答，以JSON形式展现。

Statistics. A summary of the statistics related to the request and the response, presented as a data grid. The data grid includes the query duration, the request duration, the total number of records found on the server, and the index pattern used to make the query.

统计：关于请求和响应统计的摘要，以数据格的形式展现。数据格包括请求持续时间，响应持续时间，服务器创建的总数据记录，被用于请求的索引模式。

To export the raw data behind the visualization as a comma-separated-values (CSV) file, click on either theRaw or Formatted links at the bottom of any of the detailed information tabs. A raw export contains the data as it is stored in Elasticsearch. A formatted export contains the results of any applicable Kibana field formatters.

为了展现以CSV文件存在的可视化背后的原始数据，点击详细信息底部的Raw 或 Formatted 链接。一个原始输出包括保存在ES中的数据。一个格式化的输出包括Kibana格式化应用的结果。

备注：
材料来自elastic官网。
参考整理：
http://kibana.logstash.es/content/kibana/v4/visualize/lines.html
原文地址：
https://www.elastic.co/guide/en/kibana/current/line-chart.html