Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in ecommerce
    Analytics Technology Drives Conversions for Your eCommerce Site
    5 Min Read
    CRM Analytics
    CRM Analytics Helps Content Creators Develop an Edge in a Saturated Market
    5 Min Read
    data analytics and commerce media
    Leveraging Commerce Media & Data Analytics in Ecommerce
    8 Min Read
    big data in healthcare
    Leveraging Big Data and Analytics to Enhance Patient-Centered Care
    5 Min Read
    instagram visibility
    Data Analytics Plays a Key Role in Improving Instagram Visibility
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Graphing Considered Dangerous
Share
Notification Show More
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Graphing Considered Dangerous
Data MiningPredictive Analytics

Graphing Considered Dangerous

Editor SDC
Last updated: April 1, 2009 9:44 pm
Editor SDC
2 Min Read
SHARE

In my posting of Jun-25-2007, To Graph Or Not To Graph , I made the case (tentatively) that graphs weren’t all they’re cracked up to be, and provoked some lively discussion in the Comments section here. In his Apr-01-2009 posting, Why tables are really much better than graphs on the Statistical Modeling, Causal Inference, and Social Science Web log, Andrew Gelman makes a much more forceful case against graphs. Readers may find Gelman’s arguments of interest.

I am not “anti-graph”, but do think that graphs are often used when other tools (test statistics, tables, etc.) would have been a better choice, and graphs are certainly frequently misused. Thoughts?


In my posting of Jun-25-2007, To Graph Or Not To Graph , I made the case (tentatively) that graphs weren’t all they’re cracked up to be, and provoked some lively discussion in the Comments section here. In his Apr-01-2009 posting, Why tables are really much better than graphs on the Statistical Modeling, Causal Inference, and Social Science Web log, Andrew Gelman makes a much more forceful case against graphs. Readers may find Gelman’s arguments of interest.

More Read

Data Mining and Predictive Analytics Contest Has a $3 Million Prize

PAW: Cross Industry Challenges and Solutions in Predictive Analytics
IBM – GIO Study Theme: Media and Content
The Technology behind Social Media Analytics – An interview with Greg Greenstreet, CTO, SVP Engineering of Collective Intellect
TIME’s Best Inventions of…

I am not “anti-graph”, but do think that graphs are often used when other tools (test statistics, tables, etc.) would have been a better choice, and graphs are certainly frequently misused. Thoughts?

Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

trusted data management
The Future of Trusted Data Management: Striking a Balance between AI and Human Collaboration
Artificial Intelligence Big Data Data Management
data analytics in ecommerce
Analytics Technology Drives Conversions for Your eCommerce Site
Analytics Exclusive
data grids in big data apps
Best Practices for Integrating Data Grids into Data-Intensive Apps
Big Data Exclusive
AI helps create discord server bots
AI-Driven Discord Bots Can Track Server Stats
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

predictive analytics
ExclusivePredictive Analytics

5 Ways Predictive Analytics Impact Distribution

7 Min Read
datafication
Big DataBusiness IntelligenceData MiningData WarehousingHadoopSocial DataUnstructured DataWorkforce Data

The Datafication of People and Stuff and Things

5 Min Read
Future of Fintech
AnalyticsFintechPredictive Analytics

How Are Predictive Analytics Shaping the Future of Fintech?

6 Min Read

Patient-Centered Data-Driven Care: Carolina Advanced Health

0 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-24 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?