R peogramming question with paper

community db
May 19, 2020
Stopping Outshopping
May 19, 2020

The Center for Disease Control and Prevention (CDC) uses the social vulnerability index (SVI) to evaluate the impact of disasters on communities, weighting the damage with social factors in the states of South Dakota and Indiana (CDC, 2018a; CDC 2018b).
Each community requires independent evaluation to identify the vulnerability of the area. Two of the contributing factors for this analysis are minority status and language limitations. The data may lack credibility due to the fear of reprisal for persons that fall into these categories. Exploring the social and physical characteristics, excluding these metrics can provide insight on the overall impact on the SVI.

What impact does the exclusion of the metrics that represent minorities and language limited individuals have on the predictability of the CDC’s SVI, based on the 2018 data (CDC, 2018a; CDC, 2018b)?
Does the CDC’s SVI have key characteristics that impact the preclude potential exclusion without limiting the overall predictability of the SVI, based on the 2018 data (CDC, 2018a; CDC, 2018b)?