Open lilsummer opened 5 years ago
See the notebook here https://nbviewer.jupyter.org/github/Colorado-Data-Analytics-Challenge/d4d-opioid-crisis/blob/master/merge_public_health_data.ipynb
these 6 datasets are similar, i just joined by FIPS or TRACT_FIPS to create a wider dataframe
Looks like opioid related mortality is highly correlated with suicide rate... which is not surprising i guess
I tried to find a detailed explanation about each dataset... but not much luck yet, seems like each column is pretty self-explanatory so far
merged 6 datasets from that google doc
See the notebook here https://nbviewer.jupyter.org/github/Colorado-Data-Analytics-Challenge/d4d-opioid-crisis/blob/master/merge_public_health_data.ipynb
these 6 datasets are similar, i just joined by FIPS or TRACT_FIPS to create a wider dataframe
Looks like opioid related mortality is highly correlated with suicide rate... which is not surprising i guess
I tried to find a detailed explanation about each dataset... but not much luck yet, seems like each column is pretty self-explanatory so far