<jupyter_start><jupyter_text>Using Frequency Plots and Bar Charts<jupyter_code>import transportation_tutorials as tt
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings('ignore')<jupyter_output><empty_output><jupyter_text>Questions 1. Which county has the highest number of structurally deficient bridges?    Use a frequency plot to find your answer. 2. Which county has the lowest percentage of bridges that are in good    condition? Use a bar chart to find your answer.   DataTo answer the questions, use the following data files:<jupyter_code>bridge = pd.read_csv(tt.data('FL-BRIDGES'))
bridge.head()
bridge.columns<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.06310013717421124, 'fraction_numerical': 0.0027434842249657062, 'mean_word_length': 6.227722772277228, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '114703', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 222, 'n_tokens_neox': 211, 'n_words': 81, 'path': 'course-content/exercises/exercise-frequency-barplots.ipynb', 'repo_name': 'chrisc20042001/python-for-transportation-modeling', 'size': '729'}