Exercise

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!

Instructions

100 XP

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.

Take Hint (-30 XP)