update to README file - version 0.1 release

README.Rmd

@@ -34,23 +34,25 @@ First, CoronaNet data releases:
 3. `event_description` A short description of the policy change
 4. `type` The category of the policy
 5. `country` The country initiating the policy
-6. `init_country_level` Whether the policy came from the national level or a sub-national unit
-7. `index_prov` The ID of the sub-national unit
-8. `target_country` Which foreign country a policy is targeted at (i.e. travel policies)
-9. `target_geog_level` Whether the target of the policy is a country as a whole or a sub-national unit of that country
-10. `target_who_what` Who the policy is targeted at
-11. `recorded_date` When the record was entered into our data 
-12. `target_direction` Whether a travel-related policy affects people coming in (Inbound) or leaving (Outbound)
-13. `travel_mechanism` If a travel policy, what kind of transportation it affects
-14. `compliance` Whether the policy is voluntary or mandatory
-15. `enforcer` What unit in the country is responsible for enforcement
-16. `date_announced` When the policy goes into effect
-17. `link` A link to at least one source for the policy
-18. `ISO_A3` 3-digit ISO country codes
-19. `ISO_A2` 2-digit ISO country codes
-20. `severity_index_5perc` 5% posterior low estimate (i.e. lower bound of uncertainty interval) for severity index
-21. `severity_index_median` posterior median estimate (point estimate) for severity index, which comes from a Bayesian latent variable model aggregating across policy types to measure country-level policy severity (see paper on our website)
-22. `severity_index_5perc` 95% posterior high estimate (i.e. upper bound of uncertainty interval) for severity index
+6. `date_announced` When the policy is announced
+7. `date_start` When the policy goes into effect
+8. `date_end` When the policy ends (if it has an explicit end date)
+9. `init_country_level` Whether the policy came from the national level or a sub-national unit
+10. `index_prov` The ID of the sub-national unit
+11. `target_country` Which foreign country a policy is targeted at (i.e. travel policies)
+12. `target_geog_level` Whether the target of the policy is a country as a whole or a sub-national unit of that country
+13. `target_who_what` Who the policy is targeted at
+14. `recorded_date` When the record was entered into our data 
+15. `target_direction` Whether a travel-related policy affects people coming in (Inbound) or leaving (Outbound)
+16. `travel_mechanism` If a travel policy, what kind of transportation it affects
+17. `compliance` Whether the policy is voluntary or mandatory
+18. `enforcer` What unit in the country is responsible for enforcement
+19. `link` A link to at least one source for the policy
+20. `ISO_A3` 3-digit ISO country codes
+21. `ISO_A2` 2-digit ISO country codes
+22. `severity_index_5perc` 5% posterior low estimate (i.e. lower bound of uncertainty interval) for severity index
+23. `severity_index_median` posterior median estimate (point estimate) for severity index, which comes from a Bayesian latent variable model aggregating across policy types to measure country-level policy severity (see paper on our website)
+24. `severity_index_5perc` 95% posterior high estimate (i.e. upper bound of uncertainty interval) for severity index
 
 ## `coronanet_release_allvars.csv` Field Dictionary