Fill up the dictionary with values for each of the keys. Remember, the keys will represent the label(). In the outer for

Here's the completed code: ``` # Import necessary modules import nltk from nltk.tokenize import sent_tokenize, word_tokenize from collections import defaultdict import matplotlib.pyplot as plt # Create the defaultdict: ner_categories ner_categories = defaultdict(int) # Create the nested for loop for sent in chunked_sentences: for chunk in sent: if hasattr(chunk, 'label'): ner_categories[chunk.label()] += 1 # Create a list from the dictionary keys for the chart labels: labels labels = list(ner_categories.keys()) ``` The code imports `nltk`, `sent_tokenize`, `word_tokenize`, `defaultdict`, `matplotlib.pyplot` and creates a `defaultdict` called `ner_categories` with the default type set to `int`. It then creates a nested for loop that iterates over `chunked_sentences` and `chunk`, respectively. If the condition is true, it increments the value of each key