夺回地平线:用于具有大值范围的时间序列数据的新型可视化设计
IEEE transactions on visualization and computer graphics
|October 23, 2023
概括
新的可视化设计有效地处理时间序列数据中的大值范围. 大小顺序的地平线图表在识别和区分任务中表现出色,为从业人员改进数据分析.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
背景情况:
- 分析具有很大的价值范围的时间序列数据存在重大挑战.
- 现有的可视化技术往往难以准确地表示跨越数量级的数据.
研究的目的:
- 介绍两个新的可视化设计:大小顺序地平线图和大小顺序线图.
- 评估这些设计对时间序列数据中大值范围的识别和区分任务的有效性.
主要方法:
- 开发了新的可视化设计,将值分成曼蒂萨和指数 (v=m·10^e).
- 进行了实证用户研究,将新设计与最先进的可视化进行比较.
- 在识别,歧视,估计和趋势检测任务中评估绩效,测量错误,信心和响应时间.
主要成果:
- 大小顺序的地平线图显示在识别,区分和估计任务中表现优越或相等.
- 传统的地平线图表在特定的趋势检测任务中表现更好.
- 结果表明,对于具有广泛值范围的时间序列数据,该数据的应用性独立于领域.
结论:
- 新型数量级可视化增强了对具有大值范围的时间序列数据的分析.
- 这些设计为识别和区分任务提供了实际的改进,这对数据从业者来说至关重要.
- 进一步的研究可能会探索针对特定任务的优化,例如趋势检测.
相关概念视频
Time-Series Graph
4.4K
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...
4.4K
Multiple Bar Graph
5.2K
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...
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...
5.2K
Modified Boxplots
9.8K
A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
9.8K
Bar Graph
16.6K
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...
16.6K
Interpreting R Charts
68
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...
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...
68
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
52
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
52


