Loading tweets into a DataFrame

Now it's time to import data into a pandas DataFrame so we can analyze tweets at scale.

We will work with a dataset of tweets which contain the hashtag '#rstats' or '#python'. This dataset is stored as a list of tweet JSON objects in data_science_json.

This course touches on a lot of concepts you may have forgotten, so if you ever need a quick refresher, download the pandas basics Cheat Sheet and keep it handy!

Be aware that this is real data from Twitter and as such there is always a risk for the presence of profanity or other offensive content (in this exercise, and any following exercises that also use real Twitter data).

Import pandas (remember, by convention we'll alias it as pd).
Flatten the data_science_json tweets with flatten_tweets() and store them in tweets.
Create a DataFrame from tweets using pd.DataFrame().
Print out the text from the first 5 tweets.

Exercise

Loading tweets into a DataFrame

Instructions