setup code to export files to draw gephi networks

jflowmap_nodesfile.R
- export zip3-lat-long coordinates to gehpi/input_files
rename jflowmap_nodesfile to generic zip3clean fn
compare incid by region-season and pearson scatter

network_generation.py
- import_zip3_region_data - crosswalk of zip3 to HHS region

EDA_zip3incid_seasonweek_total.py
- plot zip3 incidence curves for flu season for all seasons
and regions
- plot pearson's r correlation coefficient for region-season
combination
- why are the pearson correlation coefficients so high between
zip3 pairs in the total season correlation networks?
kwargs added for TS_crosscorr, crosscorr_edgelist

network_generation.py
- crosscorrelation_edgelist function control flow for
percent vs. threshold definition of edges
- timeseries_crosscorrelations function keyword args
for data type (raw, first difference, z-normalized)
and method of cross-correlation (Pearson's R)

- reorganized scripts to take new function inputs
ignore *_check.py scripts
age-specific incidence export

allyears_zip3_popAge.sql
- export age-specific population by zip3 per year

fluseasonweeks_zip3_incidAge.sql
- export ILI by zip3 by small age group by week

fluseasonweeks_zip3_incid.sql
- edit comments for total incidence export
EDA suite for large age bin spatial correlation nx

network_generation.py
- add functions to import and process ILI and pop data
for small age groups

EDA_seasonweek_age.py
- histogram of pairwise zip3 cross-correlations

EDAnx_seasonweek_age.py
- degree distribution code for age-specific networks

edgelist_seasonweek_age.py
- export edgelists and flows for age-specific networks