<jupyter_start><jupyter_text>Project Title:   Authors:<jupyter_code>authors = ["Owl","",""]
date = ...<jupyter_output><empty_output><jupyter_text>Abstract: A 250 word or less overview of project include subject investigated, dataset used, hypotheses tested, and conclusions<jupyter_code># Import Numpy and Datascience modules.
import numpy as np
from datascience import *

# Plotting 
import matplotlib
%matplotlib inline
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')
import warnings
warnings.simplefilter('ignore', UserWarning)<jupyter_output><empty_output><jupyter_text>Data source including url<jupyter_code>url = ""
data = Table.read_table(url)<jupyter_output><empty_output><jupyter_text>Informative sorted and manipulated tables revealing nature of data  Summary statistics for key columns (count, mean, median, standard deviation, percentiles)  Visualization  Background overview including supporting references  Hypotheses  MethodologyHypothesis tests<jupyter_code>Print("Submitted by ",authors," on ", date)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08928571428571429, 'fraction_numerical': 0.002819548872180451, 'mean_word_length': 8.508928571428571, 'pattern_counts': {'":': 0, '<': 17, '<?xml version=': 0, '>': 17, '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': '4', 'dir': 'jupyter-structured-clean-dedup', 'id': '354275', 'license': 'CC0-1.0', 'n_tokens_mistral': 325, 'n_tokens_neox': 310, 'n_words': 86, 'path': 'Group_Project.ipynb', 'repo_name': 'DataScienceTempleFirst/code-cod', 'size': '1064'}