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関連する概念動画

Time-Series Graph00:54

Time-Series Graph

4.5K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.5K
Interpreting R Charts01:22

Interpreting R Charts

113
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
113
Multiple Bar Graph01:07

Multiple Bar Graph

7.3K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
7.3K
Survival Tree01:19

Survival Tree

159
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
159
Bar Graph01:07

Bar Graph

19.1K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
19.1K
Interpreting Run Charts01:25

Interpreting Run Charts

2.1K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
2.1K

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Updated: Sep 10, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

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ChronoDeck: 階層的なタイムシリーズ分析のためのビジュアルアナリティクスアプローチ

Lingyu Meng, Shuhan Liu, Keyi Yang

    IEEE transactions on visualization and computer graphics
    |August 25, 2025
    PubMed
    まとめ

    この研究は,階層的なタイムシリーズのデータのためのビジュアル分析システムであるChronoDeckを導入します. 既存のツールの限界を克服し,集積レベルを超えてより深い分析を可能にします.

    科学分野:

    • データ可視化
    • 人とコンピュータの相互作用
    • タイムシリーズ分析

    背景:

    • 階層的なタイムシリーズのデータ分析は,小売,金融,エネルギーに関する洞察に不可欠です.
    • 現在のインタラクティブツールには,集積レベルと複雑なタスクを横断する包括的な分析が欠けている.
    • 既存の方法は,要約や比較のような基本的な操作に限定されています.

    研究 の 目的:

    • 階層的なタイムシリーズのデータに対する高度なビジュアル分析アプローチを開発する.
    • 既存のインタラクティブ探索分析ツールの限界を解決する.
    • 簡単な要約と比較を超えて複雑な分析のタスクをサポートします.

    主な方法:

    • 階層的な時系列分析のタスクのための一般化された分類法を開発した.
    • マルチコラムビジュアライゼーションのインタラクティブシステム ChronoDeckを作成しました.
    • 統合された調整された次元縮小と小数の可視化.
    • ハイライト,アラインナップ,フィルター,セレクトなどのインタラクションが組み込まれています

    主要な成果:

    • ChronoDeckは,階層的なタイムシリーズの可視化,比較,変換を容易にする.

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    Trajectory Data Analyses for Pedestrian Space-time Activity Study
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    Last Updated: Sep 10, 2025

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    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

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    Trajectory Data Analyses for Pedestrian Space-time Activity Study
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    Trajectory Data Analyses for Pedestrian Space-time Activity Study

    Published on: February 25, 2013

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    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

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  • このシステムは,データ内の関心のあるエンティティを特定するのに役立ちます.
  • 実際のデータセットと専門家のインタビューによるケーススタディで 効果が確認されました
  • 結論:

    • ChronoDeckは,階層的なタイムシリーズのデータを分析するための新鮮で効果的なソリューションを提供します.
    • このシステムは,複雑なデータセットから洞察を抽出するユーザーの能力を高めます.
    • 開発された分類学とシステムは,タイムシリーズのビジュアル分析の分野を前進させる.