Nate Cohn at The New York Times reviews three key types of polling errors that resulted in a pro-Clinton bias in pre-election surveys. These findings are expected to improve polling methodologies going forward, but new challenges are also sure to emerge. Read the full The New York Times article here.
This brief article by Nathan Yau on FlowingData.com provides some good examples on how data visualations can be manipulated to exaggerate or distort data. A good reminder to always keep your eyes open and check the data! How to Spot Visualization Lies