Keshif: Rapid and Expressive Tabular Data Exploration for Novices

Yalçın, Mehmet Adil; Elmqvist, Niklas; Bederson, Benjamin B.

doi:10.1109/tvcg.2017.2723393

Cited by 48 publications

(39 citation statements)

References 34 publications

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“…Beyond notebooks, several toolkits exist for quickly creating visualizations for exploratory data analysis [SWH14, SMWH17a, MNV16, YEB18]. However, these systems generally do not provide support for insight management during EDA.…”

Section: Introductionmentioning

confidence: 99%

InsideInsights: Integrating Data‐Driven Reporting in Collaborative Visual Analytics

Mathisen

Horak

Klokmose

et al. 2019

Computer Graphics Forum

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Analyzing complex data is a non‐linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators can be engaged in the same analysis, or intermediate results can be reported to stakeholders. However, current data‐driven communication tools are detached from the analysis process and promote linear stories that forego the hierarchical and branching nature of data analysis, which leads to either too much or too little detail in the final report. We propose a conceptual design for integrated data‐driven reporting that allows for iterative structuring of insights into hierarchies linked to analytic provenance and chosen analysis views. The hierarchies become dynamic and interactive reports where collaborators can review and modify the analysis at a desired level of detail. Our web‐based InsideInsights system provides interaction techniques to annotate states of analytic components, structure annotations, and link them to appropriate presentation views. We demonstrate the generality and usefulness of our system with two use cases and a qualitative expert review.

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Section: Introductionmentioning

confidence: 99%

InsideInsights: Integrating Data‐Driven Reporting in Collaborative Visual Analytics

Mathisen

Horak

Klokmose

et al. 2019

Computer Graphics Forum

Self Cite

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“…Given that there are 297 individual PMI annotations in the five CTC and three FTC (6,8,9) that were tested, and that they are observed 36 times for annotation limitations, then there are 10,692 total observations (297x36) of the PMI annotations.…”

Section: Analysis Of Verification Testing Resultsmentioning

confidence: 99%

“…The figures are screenshots from the Keshif 2 web-based data exploration environment [8]. The input for Keshif is a spreadsheet of values where each column maps to a different value type in the Keshif display.…”

Section: Distribution Of Pmi Annotationsmentioning

confidence: 99%

“…However, FTC 7, 10, and 11 were not modeled in any CAD system and are not represented in the following figures. Figure 12 shows the distribution of the 297 PMI annotations in the five CTC and three FTC (6,8,9) drawings. In the upper left of the Keshif display are the number of annotations per test case for the five CTC and three FTC.…”

Section: Distribution Of Pmi Annotationsmentioning

confidence: 99%

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Guide to the NIST PMI CAD models and CAD system PMI modeling capability verification testing results

Lipman¹,

Filliben²

2017

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“…The web application is based on the existing database application for publication created with Keshif, a Javascript library providing an automated web-based interface for tabular data exploration that can be integrated or used as a web service [6]. The source code of the sample application was customized for the purpose of the database of historical atlases with basic web development technologies (JavaScript, HTML, CSS) with the use of selected JavaScript libraries, such as the D3 library, jQuery library, JSAPI.js or Moment.js.…”

Section: Web Applicationmentioning

confidence: 99%

Selected Possibilities of Data Excerption From the Database of Historical Atlases

Jílková¹,

Janata²

2019

CEJ

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A large database of more than 400 existing historical atlases released after 1950 was created as a result of an extensive analytic research within the preparation of cartographic works on the Czech Historical Atlas. The database was published in the form of a web application that allows the user to reveal and analyse associated information about historical atlases across interactive dashboards. To improve the information value of the database, the authors decided to arrange further possibilities of data excerption with the use of specialized data visualization methods that may reveal additional information and new phenomena which are not clearly visible from the database itself. The performed analyses supplement the paper in the form of diagrams and charts and present the data from various perspectives with the focus on similarities and differences between the cartographic and the thematic content of the historical atlases in the publishing countries, the changes in the thematic focus of the atlases or changes in the use of methods of thematic cartography in atlas works over time. The authors also deal with relations between the thematic focus of the atlas and the applied methods of thematic cartography. All analyses are performed on the sample of 88 atlas works.Historical atlases and their characteristics were selected according to the methodology concept devised by Bláha and Močičková [3]. On the basis of two criteria defining the time and geographical delimitation of historical atlases for the study, two students of the Czech Technical University in Prague collected information about selected Czech (Czechoslovak) and foreign historical atlases released after 1950. During the first phase, the students searched for the standard bibliographic description (title, author, publisher, country of origin, language, etc.) of more than 400 atlases in electronic catalogues of Czech and foreign libraries. In addition, each item was provided with information on the focus category of the atlas (e.g. politics, demography, military issues) and with a list of libraries in which the atlas is physically stored. Due to the geographical delimitation of the studied atlas works, the database consists mainly of the atlases of Czech (106) and German production (97), followed by the atlases from France (65) and the United Kingdom (47), which account for more than three quarters of the database.

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Keshif: Rapid and Expressive Tabular Data Exploration for Novices

Cited by 48 publications

References 34 publications

InsideInsights: Integrating Data‐Driven Reporting in Collaborative Visual Analytics

InsideInsights: Integrating Data‐Driven Reporting in Collaborative Visual Analytics

Guide to the NIST PMI CAD models and CAD system PMI modeling capability verification testing results

Selected Possibilities of Data Excerption From the Database of Historical Atlases

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