Task 1: Setup, load and prepare datasets (~5%)

Setup

Create a level 2 section in your notebook called Setup.

Create a level 2 section in your notebook called Dataset.

Download the data from slack and place the extracted feather files in orig folder.
For each of the five files, import and verify shape.

The dataset __details posted in slack___ consists of five files. For each import, and as feather format to subfolder orig.

List of 13,182 reddit users who commented/submitted to QAnon identified subreddits. Columns:

author: unique identifier (hashed for user privacy - [see paper, Section 3]).
is_QA_interested: 1 for QAnon-interested, 0 otherwise ([see paper, Section 1]).
is_QA_enthusiastic: 1 for QAnon-enthusiastic, 0 otherwise ([see paper, Section 1]).
status: stores [Active, DNE, Is_suspended]. (DNE=Does Not Exist)

List of 10,831,922 comments with full text. Columns:

id: unique identifier.
link_id: submission id that this comment is in response to (NB: with prefix "t3_").
parent_id: this points to link_id of the previous comment that this comment is replying to.
author: hash of author identifier. Link to df_authors.author.
subreddit: name of subreddit.
body: the text of the comment.
date_created.

List of 2,099,875 posts with full text. Columns:

List of 12,987 subreddits where at least two QAnon-enthusiastic users have made a submission. Too many columns to list here.

List of 19 subreddits, identified in the paper [see paper, Appendix A], where QAnon users were more active.