<jupyter_start><jupyter_text>Loading and Visualizing Data> <NAME> (*Chief Data Scientist at Nexer Labs*)This notebook shows how to use the Jupyter notebook to download and visualize data.<jupyter_code># Source url: https://data.seattle.gov/api/views/65db-xm6k/rows.csv?accessType=DOWNLOAD 

import pandas as pd

data = pd.read_csv("Fremont_Bridge.csv", index_col="Date", parse_dates=True)
data.head()
# Put all plots in the notebook
%matplotlib inline

# Resample weekly
data.resample("W").sum().plot();<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1200750469043152, 'fraction_numerical': 0.005628517823639775, 'mean_word_length': 6.52112676056338, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 7, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '381879', 'license': 'Apache-2.0', 'n_tokens_mistral': 188, 'n_tokens_neox': 178, 'n_words': 47, 'path': '01_download_data.ipynb', 'repo_name': 'davpinto/eda-jupyter', 'size': '538'}