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Qualitative Data Visualization Dashboard

Qualitative Data Visualization Dashboard
定性数据可视化仪表板
批准号:
569170-2021
负责人:
Rajabiyazdi, Fatemeh
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
翻译
现有的数据可视化解决方案使用标准图表(如条形图和饼图)提供了健壮的定量数据表示。然而,很少有可视化的定性数据,包括通过开放式调查问题或评论框收集的描述性和概念性数据,从网站或社交媒体更新中获取,或从呼叫中心电话或焦点小组等其他来源转录。不管数据的来源如何,最普遍的统一思路是数据并不符合预定的分类或格式,相反,它是一个自由流动的观点或事实流,用出版商自己的话来说,现有的可视化工具在用定性数据传达洞察力方面是不够的。因此,定性的数据可视化表示通常是自定义实现,重用起来困难且昂贵。通过这个项目,我们的目标是设计和实现一个定性的数据可视化仪表板,为受众提供一种从数据中获得见解的方法,同时保持一定程度的通用性和定制选项,使其适用于各种用例。初始阶段将专注于创建一组可视化(即,图表)来表示主要由自然语言数据组成的数据集。这些可视化的组合将提供一个可视化的叙述,将传达隐藏在数据中的各种含义和见解。最终的解决方案将被部署并集成到NovaceneAI平台中,这是一个专为没有数据科学背景的分析师和主题专家设计的工具。这些用户自定义仪表板的能力将提供创建适合各种用例的不同可视化所需的自主性。
英文摘要
Existing data visualization solutions provide robust quantitative data representations using standard charts-such as bar charts and pie charts. However, few visualizations exist for representing qualitative data, including descriptive and conceptual data collected via open-ended survey questions or comments boxes, harvested from websites or social media updates, or transcribed from other sources such as call centre calls or focus groups. Regardless of the source, the common unifying thread is that the data does not conform to a predetermined taxonomy or format-rather, it is a free-flowing stream of opinions or facts in the publisher's own words.The existing visualization tools are insufficient when it comes to conveying insight with qualitative data. As a result, qualitative data visualization representations are often custom implementations that are difficult and expensive to reuse. Through this project, we aim to design and implement a qualitative data visualization dashboard that provides audiences with a way to gain insights from the data while maintaining a level of generality and customization options that make it applicable to a variety of use cases. The initial phase will focus on creating a set of visualizations (i.e., charts) to represent datasets primarily comprised of natural language data. The combination of these visualizations will provide a visual narrative that will communicate various meanings and insights hidden in the data. The final solution will be deployed and integrated into the NovaceneAI Platform, a tool designed for analysts and subject matter experts without a data science background. The ability for these users to customize the dashboard will provide the autonomy necessary to create different visualizations suitable for a variety of use cases.
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Exploring the design and development of patient data visualizations on shared displays
  • 批准号:
    RGPIN-2021-04222
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2022
  • 负责人:
    Rajabiyazdi, Fatemeh
  • 依托单位:
Exploring the design and development of patient data visualizations on shared displays
  • 批准号:
    DGECR-2021-00312
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2021
  • 负责人:
    Rajabiyazdi, Fatemeh
  • 依托单位:
Exploring the design and development of patient data visualizations on shared displays
  • 批准号:
    RGPIN-2021-04222
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2021
  • 负责人:
    Rajabiyazdi, Fatemeh
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: