Storytelling with Data: A Data Visualization Guide for Business Professionals
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Illusion of Causality in Visualized Data
Xiong, C., Shapiro, J., Hullman, J., & Franconeri, S. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934399 · Cited by 71 · see citing works
Engebretsen, M., Kennedy, H., & Weber, W. (2018) · Nordicom review/NORDICOM review · doi:10.2478/nor-2018-0007 · Cited by 64 · see citing works
Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication
Ajani, K., Lee-Robbins, E., Xiong, C., Knaflic, C. N., Kemper, W., & Franconeri, S. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3068337 · Cited by 60 · see citing works
Self-citationAlizadeh, T., Farid, R., & Sarkar, S. (2018) · Urban Policy and Research · doi:10.1080/08111146.2018.1460269 · Cited by 53 · see citing works
Multidisziplinäre Forschungsperspektiven auf Infografiken und Datenvisualisierungen
Weber, W. (2018) · Springer Reference Sozialwissenschaften · doi:10.1007/978-3-658-06738-0_38-1 · Cited by 16 · see citing works
Design Principles in the Development of Dashboards for Business Management
Martins, N., Martins, S., & Brand�ão, D. (2021) · Springer series in design and innovation · doi:10.1007/978-3-030-79879-6_26 · Cited by 14 · see citing works
Author Reflections on Creating Accessible Academic Papers
Menzies, R., Tigwell, G. W., & Crabb, M. (2022) · ACM Transactions on Accessible Computing · doi:10.1145/3546195 · Cited by 12 · see citing works
Development and usability testing of an audit and feedback tool for anesthesiologists
Barbeito, A., & Segall, N. (2019) · JAMIA Open · doi:10.1093/jamiaopen/ooy054 · Cited by 9 · see citing works
VISupply: A Supply-Chain Process Model for Visualization Guidelines
Engelke, U., Abdul‐Rahman, A., & Chen, M. (2018) · doi:10.1109/bdva.2018.8534029 · Cited by 7 · see citing works
Data Visualization of Environmental Factors in Poultry Farm
Bachtiar, A. M., Dharmayanti, D., & Imammulloh, M. (2018) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/407/1/012120 · Cited by 2 · see citing works
Zukunft der Aus- und Weiterbildung in der Markt- und Sozialforschung
Keusch, F., & Kreuter, F. (2020) · Springer eBooks · doi:10.1007/978-3-658-28664-4_1 · Cited by 1 · see citing works
Requirements Gathering for Specialized Information Systems in Public Administration
Šimonová, S. (2021) · International Conference on Information and Digital Technologies (IDT) · doi:10.1109/idt52577.2021.9497618 · Cited by 1 · see citing works
Macků, K. (2019) · Springer eBooks · doi:10.1007/978-3-030-26626-4_8
Typische Aufgaben eines Data Scientists
Aust, H. (2021) · Springer eBooks · doi:10.1007/978-3-662-62336-7_5
Spencer, S. (2021)
An Analytical Reasoning Framework for Visual Analytics Representation
Yaacob, S., Yusof, S. M., Wong, D. H.-T., et al. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-90235-3_4
- Authors
- Knaflic, C. N.
- Corresponding author
- Knaflic, Cole Nussbaumer
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2015-10-13
- OpenAlex
- W3096341457
- Cited by
- 375
- References
- 0
- Citations by year
- 2026: 43 · 2025: 75 · 2024: 40 · 2023: 37 · 2022: 36 · 2021: 51 · 2020: 24 · 2019: 29 · 2018: 21 · 2017: 13 · 2016: 3 · 2012: 1
- FWCI
- 8.05
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Arts and Humanities › Museology › Literature, Culture, and Aesthetics
- Keywords
- data storytelling, data visualization, data transmission, narrative
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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