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storytelling with data and Cole Nussbaumer Knaflic에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 storytelling with data and Cole Nussbaumer Knaflic 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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storytelling with data: #43 misleading graphs

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Manage episode 291863487 series 2456096
storytelling with data and Cole Nussbaumer Knaflic에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 storytelling with data and Cole Nussbaumer Knaflic 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

A good data visualization can reveal and communicate insights. But bad graphs abound. In this episode, Cole chats with Ben Jones about misleading graphs. They discuss a number of common issues, including missorted time, miscalculated area, going against expected norms, spurious correlations, and more. Tune in for tips on how to read graphs and spot issues and avoid being duped, as well as strategies to consider when graphing data so the visualizations you create don’t inadvertently misinform.

LINKS:

Ben Jones | @dataremixed | Data Literacy

Books by Ben mentioned: Learning to See Data, Avoiding Data Pitfalls

Ben’s repository of graphical gaffes: What NOT to Do

Book: Mind in Motion (Barbara Tversky)

Book: Graphic Methods for Presenting Facts (Williard C. Brinton)

Article: Linear vs. Quadratic Change (Robert Kosara)

Article: Why not to use two axes, and what to do instead (Lisa Charlotte Rost)

Article: The public do not understand logarithmic graphs used to portray COVID-19

Site: ourworldindata.org

Site: spurious correlations

Site/books: Calling Bullshit (Carl Bergstrom & Jevin West)

Tweet/graph: Who emits the most? (Greta Thunberg)

Resource: Ben’s “16 chart reading tips” checklist

SWD workshops: see upcoming dates & register (use discount code PODCAST10 at checkout)

  continue reading

77 에피소드

Artwork
icon공유
 
Manage episode 291863487 series 2456096
storytelling with data and Cole Nussbaumer Knaflic에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 storytelling with data and Cole Nussbaumer Knaflic 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

A good data visualization can reveal and communicate insights. But bad graphs abound. In this episode, Cole chats with Ben Jones about misleading graphs. They discuss a number of common issues, including missorted time, miscalculated area, going against expected norms, spurious correlations, and more. Tune in for tips on how to read graphs and spot issues and avoid being duped, as well as strategies to consider when graphing data so the visualizations you create don’t inadvertently misinform.

LINKS:

Ben Jones | @dataremixed | Data Literacy

Books by Ben mentioned: Learning to See Data, Avoiding Data Pitfalls

Ben’s repository of graphical gaffes: What NOT to Do

Book: Mind in Motion (Barbara Tversky)

Book: Graphic Methods for Presenting Facts (Williard C. Brinton)

Article: Linear vs. Quadratic Change (Robert Kosara)

Article: Why not to use two axes, and what to do instead (Lisa Charlotte Rost)

Article: The public do not understand logarithmic graphs used to portray COVID-19

Site: ourworldindata.org

Site: spurious correlations

Site/books: Calling Bullshit (Carl Bergstrom & Jevin West)

Tweet/graph: Who emits the most? (Greta Thunberg)

Resource: Ben’s “16 chart reading tips” checklist

SWD workshops: see upcoming dates & register (use discount code PODCAST10 at checkout)

  continue reading

77 에피소드

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