Twitter Search API Sample Time Coverage Analysis

[carlosparadis]

The goal of this issue is to have an idea of how spread over time the tweets obtained via the Search API from a few samples.

To formalize your current task, create a separate notebook loading the data you currently have saved as .txt.

You should minimally have the following sections:

• Introduction: Explains in text what you are trying to do and why. This contains no code.
• Analysis: Mix code and text to explain the steps. Please see CONTRIBUTING.md (on the bottom of this issue) for examples.

Roughly, you should have:

1. A code block loading the open.txt file and turning it again into the searched_tweets_srch variable, and as such, each element being a tweet.
2. Another code block that extracts the necessary information to the plot (I imagine only the timestamp).
3. One more code block to create a list of tuples containing a count of tweets per day and the timestamp.
4. And finally a code block for the plot.

Before each code block, text explaining what you are trying to do on them. This is just an example. Please feel free to do in another way if you prefer.

Misc

Please follow-up on this issue here instead of Slack now that it has been formalized. Make sure you read through and fully understand how to submit Pull Requests on the format we use on this repo: https://github.com/sailuh/perceive/blob/master/CONTRIBUTING.md