<jupyter_start><jupyter_text>Milestone 3<jupyter_code>import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns<jupyter_output><empty_output><jupyter_text>Task 3 - Process Data for Tableau<jupyter_code>from Scripts.project_functions import load_and_process
dogs = load_and_process('../data/raw/ShelterDogs.xls')
dogs
dogs.to_csv('../data/processed/ShelterDogsProcessed.xls')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.0957683741648107, 'fraction_numerical': 0.004454342984409799, 'mean_word_length': 8.183673469387756, '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': '598074', 'license': 'MIT', 'n_tokens_mistral': 172, 'n_tokens_neox': 168, 'n_words': 31, 'path': 'analysis/Milestone 3.ipynb', 'repo_name': 'data301-2020-winter2/course-project-solo_102', 'size': '449'}