judgelord / rulemaking Goto Github PK

Possibly due to files being updated between my database updates, there are some duplicates.

Check for them by adding a count by comment_url, which should be unique in the comments table.

I am deduping by grouping by everything except posted_date and slicing the max posted date.

One Rmd file with code copied from the appendix for each dissertation chapter is probably better than pulling figures from the dissertation repo because it can be updated more easily when these data are updated.

How to scrape FERC's database: https://github.com/judgelord/correspondence/blob/master/functions/DOE_FERC-scraper.Rmd

Checking "Rulemaking" and selecting "Comments/Protest" under Class should return comments but all comments may not be categorized ("Rulemaking Comment" under Class/Type does not return much).

TODO:

• Revise regulations-gov-API-search functions for v4
• Update api vignette with v4 functions

look through top.orgs and top.dockets to find mass comments versus org comment

Here is a list of things that are still incorrect, things that should continue to be worked on, and things to keep in mind within my rules! In the orgnames R script there is a #Testing section that should give good tools that I used to create my rules.

find 2 example, oppose and support, document IDs for each docket number under each agency
note: if a decision use "oppose" or "support, if rule making use codebook 1-6

Some, but not all fr_name's get corrected with the creation of fr_document_id in sql_comment_metadat.R (which I'll probably move to another script). I've only really tested this method on CFPB rules.

1. At least one observation per docket, sorted by docket, then org.type, then org.

• preview of attachment texts
• regulations.gov url for each comment

2. A script to pull in, modify, and update the google sheet (so that we can continue to apply coding rules).

Anything else? @mcneillucy

finished finding org for EPA for commenttext and title
created "other" option for org...run at the very end of all the changes

create a loop that will apply org.name, org.type, org.ej.community to organization names

This summary document should provide clean data for org frequency analysis (rules commented on and mobilized comment totals by org) for ej and whymail dissertation chapters (and anyone else who wants to use it or contribute).

these data should eventually include FERC, FCC, and Treasury orgs comment frequencies.

related to #2 and #10