<jupyter_start><jupyter_text>PROJECT 2: BILLBOARD DATA ANALYSIS<NAME>4/4/17<jupyter_code>1- Read Data File
2- Identify Dataset 
3- Identify Problem
4- Acquire Data
5- Parse Data
6- Anaylze Data
7- Refine Data
8- Present Data (blog)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09578544061302682, 'fraction_numerical': 0.04980842911877394, 'mean_word_length': 5.390243902439025, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '648299', 'license': 'MIT', 'n_tokens_mistral': 112, 'n_tokens_neox': 107, 'n_words': 30, 'path': '_posts/.ipynb_checkpoints/4-4-17- CMacintosh- Project 2- Billboard-checkpoint.ipynb', 'repo_name': 'madmac77/madmac77.github.io', 'size': '272'}