Analyze the attributes how can they relate in a Dataset abstracted from Tweeter regarding Disinformation of Climate Change in Massachusetts.

If this is the core dataset you are asked to examine, then you should have a deep understanding of what this dataset has and whatis missing, before you go further.

Here is a question list that I would like to get answers from you, as you have explored it. Please answer them one by one, and in details:

1. -How are the tweets in this dataset selected? (Or based on what criteria these tweets are selected?) (time, time range, tweet topics, vocabulary, etc.)

1. -The columns of media, urls, and favorite count, place, retweet, etc. and several others are no data filled. Why are those data missing? (Is it due to incomplete rehydration or other potential causes?) Are they useful for the research questions that have been provided like How does social media disinformation spread among New Englanders?)

1. -What does quote-id mean here?

1. -There is user-created-at column that has time stamp. Whats the relationship with Column B?

1. -How can we extract more data from three columns: in_reply_to_screen_name, in_reply_to_status_id, in_reply_to_user_id (e.g., rehydrate, go back to Twitter)

1. -How can we use these three columns: user_favourites_count, user_followers_count user_friends_count

1. -What does user_statuses_count mean?