Abstract
Data-driven journalism is the future whereas visualisation is the key for effective storytelling. As the conventional definition of journalism blended digitally with a great pace over the period of time; so, the Journalists need to be data-savvy. It is necessary on this hand to extend in learning data driven reporting and story writing with effective visualisation techniques. Data driven journalism and visualisation is spanning loops between number experts and ‘word’-smiths. This is an attempt in order to understand the overview of the significance of records analysis and visualisation in various environments, consisting of mind mapping and storyboarding. This study has tried to identify the key strength lies in the variety of choices that convey personal reports to the issue. While this chapter incorporates many snapshots, it would advantage for the readers from crucial wondering questions, conclusions or problems to use tools and the art of storyboarding which is a key equipment for data driven storytelling and visualisation. This chapter covers various case studies and examples. It is lighter on the tangible skills, details, and complexities that can be applied to the projects the students and scholars of media and communication would encounter.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aparicio, M., & Costa, C. J. (2015). Data visualization. Communication Design Quarterly Review, 3(1), 7–11.
Coronavirus (COVID-19): Find latest worldwide updates, outbreak, confirmed cases, deaths of coronavirus—NDTV. (2022, September NDTV.com. Retrieved from https://www.ndtv.com/coronavirus/fullcoverage
Costa, C. J., Bofill, D., Baptista, J., Neves, M., & Durão, R. (2014). Perspectives on design of communication. In: Proceedings of the international conference on information systems and design of communication (pp. 177–177). New York, NY, USA: ACM. https://doi.org/10.1145/2618168.2618199
Data visualization. (2015). Communication design quarterly. Retrieved from https://doi.org/10.1145/2721882.2721883?casa_token=GOTnlbjgyl4AAAAA:tXtTIwOw6NccmhRHi1XCb-F-npRYiMGDc2i6kWHq037Df3CU__89TB19EntwWkSuddoL1wZ73SFbgQ
Data visualisation quotes. (n.d.). Risk insights—building resilience and value through risk connectivity. Retrieved from https://riskinsights.com/data-visualisation-quotes/
Desk, S. (2022). IND vs SL in PICS | India lose to Sri Lanka, stare at elimination. The Indian Express. Retrieved from https://indianexpress.com/photos/sports-gallery/ind-vs-sl-in-pics-india-lose-to-sri-lanka-stare-at-elimination-8135627/
Durão, R. (2014). Communicating science and technology visually. In: Proceedings of the international conference on information systems and design of communication (pp. 165–165). New York, NY, USA: ACM. https://doi.org/10.1145/2618168.2618195.
Few, S. (2004). Eenie, Meenie, Minie, Moe: Selecting the Right Graph for Your Message, September 18, 2004, Perceptual Edge. Retrieved from http://www.perceptualedge.com/articles/ie/the_right_graph.pdf
Few, S. (2012). Show me the numbers: Designing tables and graphs to enlighten (2nd ed.). Analytics Press, USA. Playfair, W. (1805). In An inquiry into the permanent causes of the decline and fall of powerful and Wea. Retrieved from http://www.gutenberg.org/catalog/world/readfile?pageno=78&fk_file s=195753
Gray, J., Chambers, L., & Bounegru, L. (2012). The data journalism handbook: How journalists can use data to improve the news. “ O'Reilly Media, Inc.“
Henry D. Hubbard(Member, U.S. Bureau of standards). Graphic Presentation, Willard Cope Brinton, S.B., Brinton Associates, New York City, 1939 preface.
How to use the power of data-driven storytelling. (n.d.). AI-Powered Brand Tracking for Brand Management | Latana. Retrieved from https://latana.com/post/data-driven-brand-storytelling/
Improve your Thinking Skills—The Inventors of Mind Maps. (n.d.). Tony Buzan International 2022. Retrieved from https://tonybuzan.com/
Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. Wiley.
Knaflic, C. N. (2019). Storytelling with data: Let’s practice! John Wiley & Sons.
Rafael Nadal issues warning to Nick Kyrgios after US open exit with huge statement on title favourite in New York. (2022). Hindustan Times. Retrieved from https://www.hindustantimes.com/sports/tennis/rafael-nadal-issues-warning-to-nick-kyrgios-after-us-open-exit-with-huge-statement-on-title-favourite-in-new-york-101662466986140.html
Rodríguez, M. T., Nunes, S., & Devezas, T. (2015). Telling stories with data visualization. In Proceedings of the 2015 workshop on narrative & hypertext (pp. 7–11).
Shneiderman, B. (1996). The eyes have it: a task by data type taxonomy for information visualizations. In Proceedings 1996 IEEE symposium on visual languages (pp. 336–343). Boulder, CO, USA. https://doi.org/10.1109/VL.1996.545307
SpringerLink. (n.d.). Springer. Retrieved from https://link.springer.com/chapter/https://doi.org/10.1007/978-1-4471-2804-5
Stamey, J., Honeycutt, T., & Blanchard, S. (2005). Edward Tufte meets Christopher Alexander. In Proceedings of the 23rd annual international conference on Design of communication: documenting & designing for pervasive information (SIGDOC ‘05). New York, NY, USA: ACM. https://doi.org/10.1145/1085313.1085322.
Tegarden, D. (1999). Business information visualization. Commun. AIS 1, 1es, Article 4.
The importance of storyboarding—how I used storyboarding to write a best selling book—storytelling with data. (2015, August 25). storytelling with data.
Veglis, A., & Bratsas, C. (2017). Towards a taxonomy of data journalism. Journal of Media Critiques [JMC], 3(11).
Why data storytelling is so important—and why we’re so bad at it. (n.d.). Deloitte Insights. Retrieved from https://www2.deloitte.com/us/en/insights/topics/analytics/data-driven-storytelling.html
Zamith, R. (2019). Transparency, interactivity, diversity, and information provenance in everyday data journalism. Digital Journalism, 7(4), 470–489.
Zimmermann, B. (1997). Applying Tufte's principles of information design to creating effective Web sites. In Proceedings of the 15th annual international conference on computer documentation (SIGDOC ‘97) (pp. 309–317). New York, NY, USA: ACM. https://doi.org/10.1145/263367.263406
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Kayal, S., Brahma, M. (2024). Data Journalism and Visualisation: Prospects of Data Driven Storytelling. In: Dahiya, S., Trehan, K. (eds) Handbook of Digital Journalism. Springer, Singapore. https://doi.org/10.1007/978-981-99-6675-2_26
Download citation
DOI: https://doi.org/10.1007/978-981-99-6675-2_26
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-6674-5
Online ISBN: 978-981-99-6675-2
eBook Packages: Literature, Cultural and Media StudiesLiterature, Cultural and Media Studies (R0)