Multiple pie charts are not the only problem with figures from the Jerusalem Post. Two mistakes with using color are pointed out.

March 19, 2015

By Naomi RobbinsJanuary 8, 2014

By Naomi RobbinsNovember 27, 2013

By Naomi RobbinsFebruary 12, 2013

By Naomi RobbinsFebruary 5, 2013

By Naomi RobbinsFebruary 4, 2013

By Naomi RobbinsNewspapers are expected to check facts and report accurately. Why, then, should they not also be expected to check their charts and graphs and ensure that they are accurate. Figure 1 appears on page 13 of the February 4, 2013 issue of NJBIZ. My measurements show that the green square is about 9% of the […]

January 18, 2013

By Naomi RobbinsJanuary 15, 2013

By Naomi RobbinsJanuary 10, 2013

By Naomi RobbinsJanuary 9, 2013

By Naomi Robbins- Access to Statistics
- Adventures in Analytics and Visualization
- Adventures in R
- All Things R
- Analysis with Programming
- analyze stuff
- Asymptotically Unbiased
- BayesFactor: Software for Bayesian inference
- Big Data, Plainly Spoken (aka Numbers Rule Your World)
- BioStatProf
- Blog about Stats
- blog.RDataMining.com
- Bot Thoughts
- Burns Statistics
- Carlisle Rainey » Methods/Statistics
- CONJUGATEPRIOR
- CoolStatsBlog
- dahtah
- Daniel’s Blog
- Darren Wilkinson’s research blog
- Data Miners Blog
- Data Mining – Blog.com
- Data Mining: Text Mining, Visualization and Social Media
- Data, Evidence, and Policy – Jared Knowles
- DiffusePrioR
- Doing Bayesian Data Analysis
- eagereyes
- Econometrics Beat: Dave Giles’ Blog
- Econometrics By Simulation
- Effective Graphs
- Engaging Market Research
- Fiddling with data and code
- FishyOperations » R
- Getting Genetics Done
- Gianluca Baio’s blog
- Graph of the Week
- Honglang Wang’s Blog
- Hyndsight
- Hyndsight
- I say things
- information aesthetics
- Junk Charts
- Learn and Teach Statistics and Operations Research
- Learning Slowly
- Machine Master
- mages’ blog
- Nicebread
- No Hesitations
- Normal Deviate
- NumberTheory » R stuff
- On the lambda
- One R Tip A Day
- Point Mass Prior
- Political Methodology
- Probably Overthinking It
- Psychological Statistics
- Publishable Stuff
- R Chronicle
- R language – Portfolio Probe
- R snippets
- R Tutorial
- R – rbresearch
- R – Statisfaction
- R – Systematic Investor
- R – The stupidest thing…
- R – Xi’an’s Og
- r4stats.com
- rblogs – Quantum Forest
- Realizations in Biostatistics
- Rstats – bayesianbiologist
- SAS and R
- SAS Programming for Data Mining
- Serious Stats
- Sharp Statistics
- Simply Statistics
- Stat Bandit
- Statistical Modeling, Causal Inference, and Social Science
- Statistical Research
- statistics – BioStatMatt
- Statistics – Error Statistics Philosophy
- Statistics – Freakonometrics
- Statistics – I’ve Moved! Click Here
- Statistics – John D. Cook
- Statistics – Learning From Data
- Statistics – Statisfaction
- Statistics – The Chemical Statistician
- Statistics – The stupidest thing…
- Statistics – Win-Vector Blog
- The Analysis Factor
- The Data Game – Ilan Man
- The DO Loop
- The R Trader
- Three-Toed Sloth
- TRinker’s R Blog
- TRinker’s Stats Blog
- Vik’s Blog
- Wiekvoet
- Yihui Xie

- Some natural solutions to the p-value communication problem—and why they won’t work
- Your charts need the gift of purpose
- Mortality rate trends by age, ethnicity, sex, and state (link fixed)
- Sorting correlation coefficients by their magnitudes in a SAS macro
- Datashader is a big deal
- ML and Metrics VIII: The New Predictive Econometric Modeling
- Clarke’s Law: Any sufficiently crappy research is indistinguishable from fraud (Pizzagate edition)
- Data tables: Nonmatrix data structures in SAS/IML
- Data validation with the assertr package
- The Tidyverse Curse