Reading Data Sets
Digital collection of annotated data sets.
COVID-19 Data Group Analytics
This is a list of analytics by the COVID-19 Data Group.
COVID 19 & Data Working Group Update: November 6, 2020
Research update by the COVID-19 Data Working Group.
pece_annotation_1524609852
AlvaroGimenoImportant date correspond to: close to a 50% of childs with less tha 3 years are in low income families. Whereas a 26% are poor (from the same group.)
pece_annotation_1524003944
AlvaroGimenoAs a sesearch from the Rotgers University, the students or researchers support:
- The child poverty in becoming more concentrated. With the numbers next to us, we can say that a 52.5% of the poorest childs live in census were the concentration is above a 40%
- Inner-ring suburbs of Orange, East Orange, and Irvington have seen the largest increases in child poverty.
- Essex County’s smallest municipalities have very low child poverty, although many have seen their child poverty rates increase by more than 50 percent since 2000
pece_annotation_1524611869
AlvaroGimenoFirst of all I would like to highlight the first source used in the new. The map with the risk on air polution in Newark.
Now I'll point out the two qutes suggested:
"Air quality was analyzed using proximity to 5 factors: major roads, truck routes, rail lines, Newark airport are all nonpoint sources and facilities that have violated their major permit at least once within the last 3 years are point sources. Point sources were buffered 1 miles for the area of high risk, and 1.5 miles for the area of elevated risk."
(at the begging of the last paragraph)
"This project is an attempt to identify those areas of high risk and the people being affected by poor air quality. It can be used to inform the public about their risk and to influence policy makers and developers."
(the fourth paragraph)
This is a COVID-19 data set/dashboard collected by researchers at Seoul National University.