When data visualization works and When It Doesn’t

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주간 데이터.어주는.2번째 순서

Transcript of When data visualization works and When It Doesn’t

Page 1: When data visualization works and When It Doesn’t

주간 데이터.읽어주는.남자

2번째 순서

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김영웅주간 데이터 읽어주는 남자

꿈꾸는 데이터 디자이너 매니저

경영정보시스템 전공 박사과정

경영전문대학원 MBA

컴퓨터공학 전공

Ryan Kim | Convergence Business Designer Facebook. https://www.facebook.com/keyassist E-mail. [email protected] Web. http://keyassist.tistory.com

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When Data Visualization Works — And When It Doesn’t

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data visualization is about communicating

an idea that will drive action.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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the reasoning behind constructing data visualizations will help you do that with efficiency and impact.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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For information to provide valuable insights,

it must be interpretable, relevant, and novel.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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Collecting lots of data without the associated metadata reduces the opportunity

to play with, interpret, and gain insights from the data.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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It must also be relevant to the persons who are looking to gain insights, and to the purpose for which

the information is being examined.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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it must be original, or shed new light on an area. If the information fails any one of these criteria, then no visualization can make it valuable.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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There are three broad reasons for visualizing data

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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Confirmation: If we already have a set of assumptions

about how the system we are interested in. visualizations can help us check those assumptions.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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Education: One is simply reporting. The other is to develop

intuition and new insight.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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Exploration: We can use visualization to help

build a model to allow us to predict and better manage the system.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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what gives us confidence that these insights are now worthy of action?

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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Data quality: The quality of the underlying data is crucial to the value of visualization.

How complete and reliable is it?

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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Context: The point of visualization is to make large amounts of data approachable so we can apply our evolutionarily honed

pattern detection computer to draw insights from it.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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To leave out any contextual information or metadata (or more appropriately, “metacontent”) is to risk hampering

our understanding.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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Biases: The creator of the visualization may influence the semantics of the

visualization. any of which can challenge the interpretation of the data.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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This also creates the risk of “pre-specifying” discoverable features and results via the embedded algorithms used by the creator.

Harvard Business Review MARCH 27, 2013 “When Data Visualization Works — And When It Doesn’t”

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When Data Visualization Works — And When It Doesn’t

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The Best Data Visualization Projects of 2014

<source=http://flowingdata.com/>

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The Upshot

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The Most Detailed Maps You’ll See From the Midterm Elections

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Visualizing Algorithms Mike Bostock

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Bostock demonstrated processes and patterns in a wide array of algorithms for sorting, sampling, and maze generation.

The result was a useful learning resource and an appreciation for something that's otherwise a challenge to imagine for most people.

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Visualizing MBTA Data An interactive exploration of Boston's subway system

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Boston’s Massachusetts Bay Transit Authority (MBTA) operates the 4th busiest subway system in the U.S.

after New York, Washington, and Chicago.

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SELFIECITY Investigating the style of self-portraits (selfies)

in five cities across the world

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주간 데이터.읽어주는.남자

2번째 순서

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