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Analysis types（分析类型）

When creating a new analysis, you can choose between three analysis types, each designed for different use cases and levels of complexity. All three types support saving and sharing analyses as resources.

Comparison

Quiver analysis Time series analysis Object set path analysis
Analytical flexibility High Low Low
Available data All Time series Objects
Complexity Medium Low Low
Dashboard building Yes No No
Convert to Quiver — Yes Yes

:::callout{theme="neutral"} Time series analysis and object set path analysis resources can be converted to a Quiver analysis using the Open in Quiver option. This creates a new Quiver analysis with the same data and configuration. Note that Quiver analyses cannot be converted to the simplified analysis types, and changes made to the new Quiver analysis will not be reflected in the original object set path or time series analysis. :::

Quiver analysis

Quiver analyses provide a robust suite of analytical capabilities, including support for both object and time series data, a comprehensive library of cards for data transformation and visualization, and the ability to create interactive dashboards.

Key features include:

  • Visualizing, filtering, and transforming object and time series data without code
  • Parameterizing analyses to easily switch between different views of the data and results
  • Creating interactive dashboards that you can embed in operational applications such as Workshop
  • Embedding charts in reporting applications such as Notepad
  • Using transform tables and materializations for more advanced transformations and aggregations

We recommend a quiver analysis when:

  • You need more advanced analytical operations such as Ontology SQL, transform tables, or materializations.
  • You want to build interactive dashboards to share with others.
  • You are working with both object and time series data in a single analysis.
  • You need to parameterize your analysis for different views of the data.

Learn how to get started with a new Quiver analysis.

Time series analysis

A time series analysis provides a streamlined interface focused on ad-hoc time series analysis. It is designed for users who want to quickly visualize and compare time series data without the full complexity of a Quiver analysis.

Key features include:

  • Adding time series data from the Ontology
  • Performing time series operations such as union, formula, filter, and more
  • Visualizing event sets from linked objects or conditions
  • Quickly switching underlying data to compare values starting from different root objects

We recommend a time series analysis when:

  • You are working exclusively with time series data.
  • You want to quickly visualize and compare multiple time series.
  • You do not need to build a dashboard from your analysis.
  • You want to build an on-rails environment for operational users to perform time series analysis in a Workshop application.

Learn more about time series analyses.

Object set path analysis

An object set path analysis provides a streamlined interface for investigating object data through a sequence of cards that filter, transform, and visualize an input object set. It is designed for users who want to perform simple, ad-hoc analysis on object data without the full complexity of a Quiver analysis.

Key features include:

  • Filtering object sets based on object properties and linked objects
  • Visualizing data with bar charts, line charts, pie charts, heat grids, and waterfall plots
  • Displaying object data in tables and singular property value cards
  • Exploring linked object relationships

We recommend an object set path analysis when:

  • You are working exclusively with object data.
  • You want to quickly filter, aggregate, and visualize an object set.
  • You do not need to build a dashboard from your analysis.
  • You want to build an on-rails environment for operational users to perform object set analysis in a Workshop application.

Learn more about object set path analyses.

中文翻译

分析类型

创建新分析时，您可以在三种分析类型中选择，每种类型针对不同的使用场景和复杂程度设计。所有三种类型均支持将分析保存并共享为资源。

对比

Quiver 分析 时间序列分析 对象集路径分析
分析灵活性 高 低 低
可用数据 全部 时间序列 对象
复杂程度 中等 低 低
仪表盘构建 支持 不支持 不支持
转换为 Quiver — 支持 支持

:::callout{theme="neutral"} 时间序列分析和对象集路径分析资源可通过 在 Quiver 中打开 选项转换为 Quiver 分析。此操作将创建一个包含相同数据和配置的新 Quiver 分析。请注意，Quiver 分析无法转换为简化版分析类型，且对新建 Quiver 分析所做的更改不会反映在原始对象集路径或时间序列分析中。 :::

Quiver 分析

Quiver 分析 提供强大的分析功能套件，包括对对象和时间序列数据的支持、用于数据转换和可视化的全面卡片库，以及创建交互式仪表盘的能力。

主要功能包括：

  • 无需编码即可可视化、筛选和转换对象及时间序列数据
  • 参数化分析，轻松切换数据和结果的不同视图
  • 创建交互式仪表盘，可嵌入到 Workshop 等运营应用中
  • 在 Notepad 等报告应用中嵌入图表
  • 使用转换表和物化进行更高级的转换和聚合

建议使用 Quiver 分析的场景：

  • 需要更高级的分析操作，如 Ontology SQL、转换表或物化。
  • 希望构建交互式仪表盘与他人共享。
  • 在单个分析中同时处理对象和时间序列数据。
  • 需要对分析进行参数化以呈现不同数据视图。

了解如何开始使用新的 Quiver 分析。

时间序列分析

时间序列分析提供专注于临时时间序列分析的简化界面，专为希望快速可视化和比较时间序列数据但无需 Quiver 分析全部复杂功能的用户设计。

主要功能包括：

  • 从 Ontology 添加时间序列数据
  • 执行时间序列操作，如合并、公式、筛选等
  • 可视化来自关联对象或条件的事件集
  • 快速切换底层数据，比较不同根对象起始的值

建议使用时间序列分析的场景：

  • 仅处理时间序列数据。
  • 希望快速可视化和比较多个时间序列。
  • 无需从分析构建仪表盘。
  • 希望为运营用户构建受控环境，在 Workshop 应用中进行时间序列分析。

了解更多关于时间序列分析的信息。

对象集路径分析

对象集路径分析提供用于通过一系列卡片筛选、转换和可视化输入对象集的简化界面，专为希望对对象数据执行简单临时分析但无需 Quiver 分析全部复杂功能的用户设计。

主要功能包括：

  • 基于对象属性和关联对象筛选对象集
  • 使用柱状图、折线图、饼图、热力图和瀑布图可视化数据
  • 在表格和单一属性值卡片中显示对象数据
  • 探索关联对象关系

建议使用对象集路径分析的场景：

  • 仅处理对象数据。
  • 希望快速筛选、聚合和可视化对象集。
  • 无需从分析构建仪表盘。
  • 希望为运营用户构建受控环境，在 Workshop 应用中进行对象集分析。

了解更多关于对象集路径分析的信息。