<jupyter_start><jupyter_text>Import<jupyter_code>import pandas as pd 
import numpy as np
data = pd.read_csv('music.csv')
data.head()<jupyter_output><empty_output><jupyter_text>Raw Data Description<jupyter_code>print(data.shape)
print(data.dtypes)
data.describe(include = 'all')<jupyter_output>(10000, 35)
artist.hotttnesss            float64
artist.id                     object
artist.name                   object
artist_mbtags                 object
artist_mbtags_count          float64
bars_confidence              float64
bars_start                   float64
beats_confidence             float64
beats_start                  float64
duration                     float64
end_of_fade_in               float64
familiarity                  float64
key                          float64
key_confidence               float64
latitude                     float64
location                      object
longitude                    float64
loudness                     float64
mode                           int64
mode_confidence              float64
release.id                     int64
release.name                  object
similar                       object
song.hotttnesss              float64
song.id                       object
start_of_fade_out            float64
tatums_confidence         [...]
{'fraction_non_alphanumeric': 0.040832049306625574, 'fraction_numerical': 0.03466872110939907, 'mean_word_length': 1.379120879120879, 'pattern_counts': {'":': 0, '<': 8, '<?xml version=': 0, '>': 8, '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': '425087', 'license': 'CC-BY-3.0', 'n_tokens_mistral': 368, 'n_tokens_neox': 316, 'n_words': 70, 'path': 'PortfolioContent/DATA301Final/02-Import.ipynb', 'repo_name': 'danield2255/danield2255.github.io', 'size': '1298'}