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
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Why you shouldn’t use JPGs for quantitative charts: a case study
Share
Notification
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 > Why you shouldn’t use JPGs for quantitative charts: a case study
Data MiningPredictive Analytics

Why you shouldn’t use JPGs for quantitative charts: a case study

DavidMSmith
DavidMSmith
3 Min Read
SHARE

I’m not going to comment on the substance on the Republican “Road To Recovery” shadow budget document: plenty of more suitable forums have done so already. But I do want to use it as an illustration of why you should never use the JPG graphics format (and the jpeg graphics driver in R) for quantitative graphics. Let me pull up one chart, from page 5: I screen-captured that from the PDF file (and saved it as a PNG file for inclusion here: PNG is a lossless format, so you see it exactly as I saw it on my screen). Content…

I'm not going to comment on the substance on the Republican "Road To Recovery" shadow budget document: plenty of more suitable forums have done so already. But I do want to use it as an illustration of why you should never use the JPG graphics format (and the jpeg graphics driver in R) for quantitative graphics. Let me pull up one chart, from page 5:

More Read

Take a Little Bite Out of Big Data
Take a Little Bite Out of Big Data
High-Performing Predictive Analytics with R and Hadoop
How to Create an OBIEE Dashboard Tutorial
Is Big Data at Risk of Unleashing Big Brother?
Not your typical financial risk model: A detailed data analysis example
Jpgchart
I screen-captured that from the PDF file (and saved it as a PNG file for inclusion here: PNG is a lossless format, so you see it exactly as I saw it on my screen). Content aside, that's a pretty awful-looking chart, and it's clearly a graphic that was saved in the JPG file format. See the blurriness around the text, especially between the title and the subtitle? Those are compression artifacts caused by saving the graphic as a JPG. The tick labels, legend, and source reference are basically impossible to read.

Zooming in on the graph doesn't help either — here's another screencapture after using the "Zoom" feature in my PDF viewer (Preview, on a Mac):

Jpggraphlarge
Because this is a JPG, zooming in doesn't make the chart any clearer: actually, it just makes it easier to see the compression artifacts around the lines on the chart itself. (JPG is especially poor at capturing straight lines and blocks of a single color.) Zooming doesn't make the tick marks any easier to read either, mostly because this chart was generated at low resolution and the compression artifacts swamp the small text.

If this chart had been saved as a high-resolution PNG or GIF file, the text and lines would have been much clearer, although with enough zooming you'd still eventually see the individual pixels that make up the chart. If it had been saved in a vector format like PostScript, PDF, or Windows MetaFile and then embedded in the PDF, the chart would remain crystal-clear at all levels of zoom, and would always be clear when printed.

GOP.gov: Road to Recovery

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

edi compliance with AI
AI Is Transforming EDI Compliance Services
Exclusive News
companies using big data
5 Industries Driving Big Data Technology Growth
Big Data Exclusive
software developer using ai
California AI Companies That Are Set for Long-Term Growth
Development Exclusive
data science professor
The Power of Warm-Ups: Setting the Stage for Learning
Exclusive News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Wise Practitioner – Predictive Workforce Analytics Interview Series: Lisa Disselkamp and Tristan Aubert at Deloitte

12 Min Read

Find other R users on Twitter

1 Min Read

Predictive Analytics: 8 Things to Keep in Mind (Part 3)

5 Min Read

Reducing the Confusion about Performance Management

4 Min Read

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

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?