data storytelling

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description: translating complex data analyses into understandable, engaging narratives, often involving visual elements like charts or graphs, to effectively communicate insights and findings to a broader audience

6 results

Data-Ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else

by Steve Lohr  · 10 Mar 2015  · 239pp  · 70,206 words

How Big Is Big Data? 2 Potential. Potential. Potential. 3 Bet the Company 4 Sight and Insight 5 The Rise of the Data Scientist 6 Data Storytelling: Correlation and Context 7 Data Gets Physical 8 The Yin and Yang of Behavior and Data 9 The Long Game 10 The Prying Eyes of

they make in medicine? A big question, but Hammerbacher found the challenge appealing, and he remembers thinking to himself, “This is the best problem.” 6 DATA STORYTELLING: CORRELATION AND CONTEXT You’re given one data point: 39. What does it tell you? Not much. It’s a number greater than 38 and

Edward Lazowska. “What we lovingly call a data scientist today”: Philip Zeyliger’s descriptions and quotes come from an interview on Aug. 13, 2013. 6: Data Storytelling “Everything you added”: Interview on Sept. 17, 2013, with Sam Adams. Consider start-up ZestFinance: Douglas Merrill’s descriptions and quotes come from an interview

Mind in Motion: How Action Shapes Thought

by Barbara Tversky  · 20 May 2019  · 426pp  · 117,027 words

, D., & Hamilton, H. E. (Eds.). (2008). The handbook of discourse analysis. New York, NY: Wiley. Tversky, B. (2018). Story-telling in the wild: Implications for data storytelling. In S. Carpendale, N. Diakopoulos, N. Henri-Riche, & C. Hurter (Eds.), Data-driven storytelling. New York, NY: CRC Press. Tversky, B., Heiser, J., & Morrison, J

Becoming Data Literate: Building a great business, culture and leadership through data and analytics

by David Reed  · 31 Aug 2021  · 168pp  · 49,067 words

its stakeholders. Effective communication means adopting the terms and language of the business, rather than expecting business executives to understand the technical language of data. Data storytelling and data visualisation are key tools in this process to translate the numerical process of data analysis into a language-based narrative which stakeholders can

structure but can be challenging for stakeholders, leaders and practitioners. Communication is critical both within teams and between teams and stakeholders. Principles exist that make data storytelling and data visualisation more effective. Creating a data brand gives the data team better visibility and engagement levels. Automating routine tasks frees data teams to

the business, the more likely the organisation is to absorb core concepts and behaviours. Communicate DataIQ Way Marker Show the destination, not the journey How data storytelling and data visualisation work It is easy to view soft skills as being the preserve of the humanities and of little use to the sciences

insight or create a model. What they want is the basis for a decision, whether that is a key report, predictive model or business opportunity. Data storytelling and data visualisation therefore need to become a core part of the toolkit of practitioners within the data department if they are to gain traction

era. Figure 7.3 shows the comparative effectiveness of different data visualisations based on these two studies. Figure 7.3: Comparative effectiveness of data visualisations Data storytelling is arguably the junior discipline – humans developed the written word after visual imagery. But it is just as essential since it brings into play a

with the use of these techniques in drama, applying them into everyday practice needs to be trained. If data visualisation is the set design and data storytelling is the script, then presentation skills are the acting required to inhabit the former and bring the latter to life. That does not mean data

Data Action: Using Data for Public Good

by Sarah Williams  · 14 Sep 2020

map 181 Stop-and-Frisk: Number of Stops Over Time (NYCLU) 178 Stop-and-frisk policy 180–181, 183, 216. See also Stop-and-frisk data Storytelling with data 113–114 graphic 175 interactive “data stories,” 173–174 Surveys. See also specific surveys cadastral maps and 10, 156, 165 ethical xii political

The Upswing: How America Came Together a Century Ago and How We Can Do It Again

by Robert D. Putnam  · 12 Oct 2020  · 678pp  · 160,676 words

United States better than Bob Putnam, and no one else could have written this essential book. The Upswing brings together his vast knowledge, love of data, storytelling ability, and passion. It’s an astonishing work that reminds Americans we are a great people, shows us what we can accomplish when we come

We Are All Fast-Food Workers Now: The Global Uprising Against Poverty Wages

by Annelise Orleck  · 27 Feb 2018  · 382pp  · 107,150 words

; organizational websites and records; insights from scholars of labor, globalization, transnational capitalism, and agribusiness. I make no pretense of objectivity. This is an uneasy hybrid: data, storytelling and analysis, politics, polemics and poetry. And it is a history of sorts, I have come to realize—an urgent history of now. I began