From af110e9104894abf65286f01282ac63b2e947228 Mon Sep 17 00:00:00 2001 From: Matthias Liffers Date: Fri, 3 Jul 2020 14:24:55 +0800 Subject: [PATCH] Replaced dirty data article --- _things/thing-21.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_things/thing-21.md b/_things/thing-21.md index 1b65a97..3add506 100644 --- a/_things/thing-21.md +++ b/_things/thing-21.md @@ -21,7 +21,7 @@ Why is "clean” data important? Public policy, changes to medical protocols and economic decisions all depend on accurate and complete data. This thing looks at the why and what of “dirty data.” -1. Read some [real data horror stories](https://www.arnnet.com.au/article/197085/perils_dirty_data/? "Perils of dirty data: blog") about dirty data. +1. Read some [real data horror stories](https://ssrn.com/abstract=3333423 "Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice") about dirty data. 2. How does data get dirty in the first place? This [short video](https://vimeo.com/95289871 "ASAPCA video") (5 min) from the ASPCA (American Society for Prevention of Cruelty