Smiley Data Sets

 

1) http://www.rtknet.org/db/erns/substance

 

 

 

This data was compiled by ERNS, the Emergency Response Notification System. It provides information for toxic chemical spills and other accidents for 2012, including substance, number of incidents, deaths, hospitalizations, injuries, evacuations, and property damage. It’s interesting because these incidents have been in the news recently- the chemical spill in West Virginia, the toxic ash spill into a North Carolina river, etc. Incidents like this affect everyone because many times they affect drinking water. I think graphing this data could help give more insight into these incidents and possibly lead to a deeper story.

 

 

 

2) http://www.health.ny.gov/statistics/vital_statistics/2011/table04.htm

 

 

 

This data was compiled by the Department of Health and includes birth summaries in New York State for 2011 broken down by race and ethnicity. A recent government study found that in 28 states (including NYC), first-time C-sections declined to 21.5% in 2012, from 22.1% in 2009. Since this data includes the method of delivery, it would be interesting to map this out and find out if there is any correlation between method of delivery and race/ethnicity in New York State.

 

 

 

3) https://data.cityofnewyork.us/Social-Services/Dirty-Water/k2um-vsan

 

 

 

I found this data from NYC Open Data. It’s based on 311 Service Requests from 2010 until the present, so it’s changing every day. It includes exact date & time of complaint, complaint type (water quality or water system, drinking water) and even sometimes includes a description of what is wrong with the water (tastes bitter/metallic, looks cloudy, etc.) I think this data would be interesting into mostly because I think it might show patterns (certain boroughs, neighborhoods, streets having more problems than others, etc.) Analyzing this data could also help when it comes to looking into other data about water in NYC. For example, if complaints from a particular area in Queens keep resurfacing over time, it may be worth looking data about that area’s water system/quality.