Ata uhi

Data story. Explain data and inspire action through story.

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Kaituhi matua:	Duarte, Nancy (Author)
Hōputu:	Tē mōhiotia
I whakaputaina:	Oakton, Virginia, USA: IdeaPress Publishing, 2019.
Ngā marau:	Visualización de datos
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

Making data visual: A practical guide to using visualization for insight.
mā: Fisher, Danyel, me ētahi atu.
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Functional Aesthetics for data visualization.
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I whakaputaina: (2022)

ColorWise. A Data Storyteller's Guide to the Intentional Use of Color.
mā: Strachnyi, Kate
I whakaputaina: (2022)

Interactive data visualization: foundations, techniques, and applications
mā: Ward, Matthew, me ētahi atu.
I whakaputaina: (2015)

Communicating with data visualisation. A practical guide
mā: Frost, Adam, me ētahi atu.
I whakaputaina: (2022)

Data visualization made simple : insights into becoming visual
mā: Sosulski, Kristen
I whakaputaina: (2019)

Dear data.
mā: Lupi, Giorgia, me ētahi atu.
I whakaputaina: (2016)

Info we trust: How to inspire the world with data.
mā: Andrews, RJ
I whakaputaina: (2019)

Data sketches.
mā: Bremer, Nadieh, me ētahi atu.
I whakaputaina: (2021)

Beautiful Visualization: [looking at data through the eyes of experts]
I whakaputaina: (2010)

Visualizing data.
mā: Fry, Ben
I whakaputaina: (2008)

Storytelling with data: a data visualization guide for business professionals.
mā: Knaflic, Cole Nussbaumer
I whakaputaina: (2015)

Effective data storytelling : how to drive change with data, narrative, and visuals.
mā: Dykes, Brent
I whakaputaina: (2020)

The truthful art: data, charts, and maps for communication.
mā: Cairo, Alberto
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Interactive Data Visualization with Python.
mā: Belorkar, Abha, me ētahi atu.
I whakaputaina: (2020)

Information is Beatiful.
mā: McCandless, David
I whakaputaina: (2012)

Information visualization : Perception for design.
mā: Ware, Colin
I whakaputaina: (2013)

Mapping experiences: a guide to creating value through journeys blueprints, and diagrams
mā: Kalbach, Jim
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I whakaputaina: (2018)

Data science and big data analytics: discovering, analyzing, visualizing and presenting data
I whakaputaina: (2015)

Patterns of data modeling
mā: Blaha, Michael
I whakaputaina: (2010)

Statistical Data Science
mā: Adams, Niall
I whakaputaina: (2018)

Data modeling essentials
mā: Simsion, Graeme C, me ētahi atu.
I whakaputaina: (2005)

Data mining with Rattle and R: the art of excavating data for knowledge discovery
mā: Williams, Graham
I whakaputaina: (2011)

The data model resource book
mā: Silverston, Len
I whakaputaina: (2001)

Functional data analysis
mā: Ramsay, J. O, me ētahi atu.
I whakaputaina: (2005)

Infographics Designers’ Sketchbooks.
mā: Heller, Steven, me ētahi atu.
I whakaputaina: (2014)

Introduction to data mining.
mā: Tan, Pang-Ning, me ētahi atu.
I whakaputaina: (2019)

Principles of data mining
mā: Hand, David J, me ētahi atu.
I whakaputaina: (2001)

Data networks
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Big data, data mining, and machine learning: value creation for business leaders and practitioners
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Exploratory data analysis
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R for data science: import, tidy, transform, visualize, and model data
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Analytics in a Big Data world: the essential guide to data service and its applications
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From big data to big profits: success with data and analytics
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Building the data warehouse
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How charts lie: getting smarter about visual information.
mā: Cairo, Alberto
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Data mining: concepts and techniques
mā: Han, Jiawei, me ētahi atu.
I whakaputaina: (2001)

Data structures and algorithms in java
mā: Waite, Mitchell, me ētahi atu.
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