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Visualizing Missing Data: Graph Interpretation User Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/wics.1307openalex-snapshot
Journal of Computational and Graphical Statistics
inferredcites →https://doi.org/10.1007/pl00022718openalex-snapshot
Prediciton regions for the visualization of incomplete datasets
inferredcites →https://doi.org/10.1007/s003710050111openalex-snapshot
Approaches to uncertainty visualization
inferredcites →https://doi.org/10.1068/a301547openalex-snapshot
Visualizing Georeferenced Data: Representing Reliability of Health Statistics
inferredcites →https://doi.org/10.1080/10618600.1996.10474700openalex-snapshot
Interactive Graphics for Data Sets with Missing Values: MANET
inferredcites →https://doi.org/10.1109/infvis.2000.885092openalex-snapshot
A taxonomy of visualization techniques using the data state reference model
inferredcites →https://doi.org/10.1109/infvis.2002.1173145openalex-snapshot
Visualizing data with bounded uncertainty
inferredcites →https://doi.org/10.1109/vis.2003.10029openalex-snapshot
The Challenge of Missing and Uncertain Data
inferredcites →https://doi.org/10.1109/visual.1994.346317openalex-snapshot
Restorer: a visualization technique for handling missing data
inferredcites →https://doi.org/10.1109/visual.1999.809916openalex-snapshot
Visualizing gridded datasets with large number of missing values
inferredcites →https://doi.org/10.1109/visual.2000.885679openalex-snapshot
Procedural annotation of uncertain information
inferredcites →https://doi.org/10.1109/vl.1996.545307openalex-snapshot
The eyes have it: a task by data type taxonomy for information visualizations
inferredcites →https://doi.org/10.1119/1.17449openalex-snapshot
Testing student interpretation of kinematics graphs
inferredcites →https://doi.org/10.1145/318372.318381openalex-snapshot
The role of experience and culture in computer graphing and graph interpretive processes
inferredcites →https://doi.org/10.1145/604471.604507openalex-snapshot
Analysis of visualisation requirements for fuzzy systems
inferredcites →https://doi.org/10.1145/604504.604507openalex-snapshot
Analysis of visualisation requirements for fuzzy systems
inferredcites →https://doi.org/10.1207/s1532690xci2104_3openalex-snapshot
When Are Graphs Worth Ten Thousand Words? An Expert-Expert Study
inferredcites →https://doi.org/10.1559/152304096782562109openalex-snapshot
Interface Design for Geographic Visualization: Tools for Representing Reliability
inferredcites →https://doi.org/10.5555/319351.319440openalex-snapshot
Visualizing gridded datasets with large number of missing values (case study)
inferredcites →https://doi.org/10.5555/375213.375221openalex-snapshot
Procedural annotation of uncertain information
inferredcites →https://doi.org/10.5555/951087.951127openalex-snapshot
Restorer: a visualization technique for handling missing data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Visual Analysis for Understanding Irritable Bowel Syndrome
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Visualization of Missing Values
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Visualizing Uncertainty in Different Domains: Commonalities and Potential Impacts on Human Decision-Making
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Visual analysis for panel data imputation with Bayesian network
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Recent progress and trends in predictive visual analytics
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Visualization and analytics tools for infectious disease epidemiology: A systematic review
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GPAbin: unifying visualizations of multiple imputations for missing values
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Representing the Presence of Absence in Cartography
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The Presence of Absence in Geovisual Analytics of Big Data
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Visual Imputation Analytics for Missing Time-Series Data in Bayesian Network
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Combining Missing Relative Distance and Information Retrieval Technique for Querying Missing Author in Directed Authorship Graph
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Design and Evaluation of an Interactive Proof-of-Concept Dashboard for General Practitioners
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Link Completion using Prediction by Partial Matching
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Effects of Visualizing Missing Data: An Empirical Evaluation
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A Visual-Interactive Idiom to Diagnose Missing Data Mechanisms
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VisBricks: Multiform Visualization of Large, Inhomogeneous Data
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Visplause: Visual Data Quality Assessment of Many Time Series Using Plausibility Checks
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Where's My Data? Evaluating Visualizations with Missing Data
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To Explore What Isn't There—Glyph-Based Visualization for Analysis of Missing Values
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Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots
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Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study
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Visual analysis of missing data — To see what isn't there
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Understanding the Effects of Visualizing Missing Values on Visual Data Exploration
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Toward Systematic Considerations of Missingness in Visual Analytics
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Visual Analysis of Missing Values in Longitudinal Cohort Study Data
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Visual exploration of dirty activity sensor and emotional state data from psychological experiments
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Investigating User Estimation of Missing Data in Visual Analysis
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To identify what is not there: A definition of missingness patterns and evaluation of missing value visualization
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Exploratory visual analysis of missing data for multiple imputation
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A visual analysis approach for data imputation via multi-party tabular data correlation strategies
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Lessons Learned: Recommendations For Implementing a Longitudinal Study Using Wearable and Environmental Sensors in a Health Care Organization
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Taking a user-centered design approach to develop a data dashboard for New York State Department of Health and implications for improving the usability of public data dashboards / narrative competence and cognitive mapping as a culturally sustaining pedagogy in the education of emergent bilinguals
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