1. The dataset I chose to visualize was the Hour Created vs Retweet Count. It compared the amount of retweets to the hour it was created.
2. The pattern found in the data implies that tweets around mid day to night (1-10 pm) get retweeted the most. This is shown by the spike in retweet numbers starting around 1 pm.
3. It can be assumed that after 1 pm is usual twitter hours for the U.S. It would make sense because that is when kids start to get out of school and they are a large chunk of the users of Twitter. Interestingly there is a spike of retweets of tweets made at 3 in the morning, but I couldn't really come up with an explanation for it.
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