
# IMPORT DEPENDENCIES 
import pandas as pd
import numpy as np
import plotly.express as px
import plotly.graph_objects as go
import plotly.io as pio
import chart_studio
import chart_studio.plotly as py
import chart_studio.tools as tls
import seaborn as sns
import matplotlib.pyplot as plt
from plotly.subplots import make_subplots
from collections import Counter
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
import matplotlib.pyplot as plt
from PIL import Image
from sklearn.feature_extraction.text import CountVectorizer
import nltk
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import plotly.offline as pyo
pyo.init_notebook_mode()


# READ DATA 
song_data = pd.read_csv('../Data/merged_finaltop100_revised.csv') 

# REMOVE ROWS WITH NULL VALUES 
song_data = song_data.dropna()
song_data.head()


# SUMMARY STATISTICS 
song_data.iloc[:, 7:].describe() #summary for quantitative features


# AVERAGE AUDIO FEATURES BY COUNTRY 
feats_mean_country = song_data.groupby('country')[['streams', 'valence', 'mode', 'loudness', 
                'acousticness', 'tempo', 'energy', 'liveness', 
                'key', 'duration_ms', 'instrumentalness', 'danceability', 
                'speechiness',  'len_words_orig', 'len_words_trans']].mean().reset_index() #summary by continent
feats_mean_country


# AVERAGE AUDIO FEATURES BY COUNTRY 
pd.options.plotting.backend = "plotly"
feats_mean_country.plot.barh(y='country', x=['streams', 'valence', 'mode', 'loudness', 
                'acousticness', 'tempo', 'energy', 'liveness', 
                'key', 'duration_ms', 'instrumentalness', 'danceability', 
                'speechiness', 'len_words_orig', 'len_words_trans'],
                 title = 'Average audio features by country', template = 'plotly_dark')


# SUMMARY FOR QUALITATIVE FEATURES 
song_data[['track_id','artist_names', 'track_name', 'source', 'country','album_release_date', 'lyrics']].describe()


# PLOT STREAMS FOR TOP 1 SONG IN 73 COUNTRIES 
df = song_data.loc[song_data['rank']==1] #get rank 1 songs 
fig = px.scatter_geo(df, locations='iso_alpha3', color="track_name",
                     hover_name="country", size="streams", 
                     title='Streams of Top 1 Songs' )
fig.update_geos(
    showcoastlines=True, coastlinecolor="white",
    showocean=True, oceancolor="black",
)
fig.update_layout(legend_title = "Top 1 Songs")
fig.show()


# EXPORT PLOT 
pio.write_html(fig, file='../Analysis/Plots/Top1Streams.html', auto_open=True)


# PLOT CORRELATIONS 
plt.figure(figsize=(16, 6))
heatmap = sns.heatmap(song_data.iloc[:, 7:].corr(), vmin=-1, vmax=1, annot=True,cmap='BrBG')
heatmap.set_title('Correlation Heatmap', fontdict={'fontsize':12}, pad=12)
plt.savefig('../Analysis/Plots/Heatmap1.png', dpi=300, bbox_inches='tight');

C:\Users\kayan\AppData\Local\Temp\ipykernel_4760\1686967092.py:3: FutureWarning:

The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.


# PLOT CORRELATIONS 
plt.figure(figsize=(8, 12))
heatmap2 = sns.heatmap(song_data.iloc[:, 7:].corr()[['streams']].sort_values(by='streams', ascending=False), vmin=-1, vmax=1, annot=True, cmap='BrBG')
heatmap2.set_title('Features Correlating with Streams', fontdict={'fontsize':12}, pad=6)
plt.savefig('../Analysis/Plots/Heatmap2.png', dpi=300, bbox_inches='tight')

C:\Users\kayan\AppData\Local\Temp\ipykernel_4760\745660606.py:3: FutureWarning:

The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.


# JOIN CLEANED LYRICS FOR EACH COUNTRY 
lyrics_joined = song_data.dropna(subset=['lyrics_clean', 'continent'])
lyrics_joined = lyrics_joined.groupby('country')['lyrics_clean'].apply(' '.join).reset_index()
lyrics_joined = pd.merge(lyrics_joined, song_data[['country', 'continent']].drop_duplicates(), on='country', how='inner')
lyrics_joined


def mostfreq_word(text):
    '''get most frequent word'''
    words_list = text.split() #tokenize the text
    word_counts = Counter(words_list) #count frequency of each word
    return word_counts.most_common(2),  #return most frequent word


# GET MOST FREQUENT WORD 
most_frequent = lyrics_joined['lyrics_clean'].apply(mostfreq_word)
lyrics_joined['most_frequent_word'] = [i[0][0][0]for i in most_frequent]
lyrics_joined['most_frequent_cnt'] = [i[0][0][1]for i in most_frequent]


# PLOT MOST FREQUENT WORD 
fig1 = px.scatter(lyrics_joined, y="country", x="most_frequent_cnt", color="continent", text="most_frequent_word")
fig1.update_traces(textposition='top center')
fig1.update_layout(height=700, title_text='Most Frequent Word',template = 'plotly_dark')
fig1.show()


# PRINT TOTAL NUMBER OF WORDS IN COMBINED LYRICS 
text = ' '.join(song_data['lyrics_clean']) #join cleaned lyrics 
ls = text.split(' ')
len(ls)

1045530


# MOST COMMON WORDS IN POPULAR SONGS 
wordcloud = WordCloud( background_color = 'white', colormap="Dark2").generate(text)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.title('Most common words in popular songs in February 2023')
plt.show()


# JOIN LYRICS BY CONTINENT 
joined_lyrics = song_data.dropna(subset=['lyrics_clean'])
joined_lyrics = joined_lyrics.groupby('continent')['lyrics_clean'].apply(' '.join).reset_index()


# COMPUTE WORD FREQUENCIES 
vec = CountVectorizer(tokenizer = nltk.word_tokenize)
freq = vec.fit_transform(joined_lyrics['lyrics_clean'])
feat_names = vec.get_feature_names_out()

C:\Users\kayan\Anaconda3\envs\py310\lib\site-packages\sklearn\feature_extraction\text.py:528: UserWarning:

The parameter 'token_pattern' will not be used since 'tokenizer' is not None'


# CONVERT WORD FREQUENCIES TO DATAFRAME 
df1 = pd.DataFrame(freq.todense(),columns=feat_names).transpose()
df1.reset_index(inplace=True)
df1 = df1.rename(columns = {'index':'token', 0: 'Africa', 
                            1: 'Asia', 2: 'Europe', 3:'North America', 
                            4:'Oceania', 5: 'South America'})
df1


# MOST FREQUENT WORDS BY CONTINENT 
def plot_wordcloud(df,row,col):
    wc = WordCloud(background_color="white",colormap="cividis",
                 max_font_size=100,random_state=15)
    fig = plt.figure(figsize=(20,10))
    for index, value in enumerate(df.columns[1:]):
        top_dict = dict(zip(df['token'].tolist(),df[value].tolist()))
        wc.generate_from_frequencies(top_dict)
        plt.subplot(row,col,index+1)
        plt.imshow(wc,interpolation="bilinear")
        plt.axis("off")
        plt.title(f"{value}",fontsize=15)
    
    plt.subplots_adjust(wspace=0, hspace=0.2)
    plt.show()
    
plot_wordcloud(df1,3,2) #plot wordcloud


# GET FREQUENCY DISTRIBUTIONS FOR TOKENS 
d = nltk.FreqDist(w for w in ls if w.isalnum())
d

FreqDist({'like': 27075, 'know': 19940, 'love': 16436, 'get': 15532, 'want': 14420, 'yeah': 14368, 'baby': 12024, 'one': 10552, 'see': 10256, 'say': 9874, ...})


# SORT FREQUENCIES 
sorted_d = dict(sorted(d.items(), key=lambda x: x[1], reverse=True)) #sort dict descending 
print(sorted_d)

{'like': 27075, 'know': 19940, 'love': 16436, 'get': 15532, 'want': 14420, 'yeah': 14368, 'baby': 12024, 'one': 10552, 'see': 10256, 'say': 9874, 'come': 9629, 'make': 8797, 'tell': 8594, 'take': 8104, 'let': 7988, 'time': 7914, 'might': 7779, 'feel': 7626, 'go': 7543, 'hey': 7456, 'also': 7310, 'look': 7187, 'never': 6977, 'give': 6534, 'night': 6160, 'would': 5910, 'think': 5910, 'back': 5688, 'cause': 5676, 'even': 5506, 'heart': 5335, 'leave': 4953, 'good': 4647, 'girl': 4162, 'need': 4116, 'day': 4089, 'could': 4070, 'life': 4062, 'put': 3819, 'another': 3815, 'way': 3720, 'better': 3642, 'thing': 3631, 'keep': 3434, 'away': 3299, 'always': 3281, 'everything': 3272, 'drink': 3185, 'lose': 3135, 'bitch': 3127, 'stay': 3096, 'well': 3070, 'little': 3049, 'find': 3046, 'call': 3043, 'break': 3001, 'dance': 2938, 'eye': 2930, 'forget': 2917, 'without': 2828, 'today': 2798, 'fall': 2774, 'hand': 2770, 'right': 2726, 'alone': 2692, 'talk': 2578, 'world': 2496, 'every': 2493, 'money': 2459, 'much': 2445, 'bad': 2445, 'hold': 2444, 'aint': 2432, 'two': 2400, 'already': 2377, 'turn': 2368, 'face': 2359, 'mind': 2246, 'crazy': 2218, 'cry': 2176, 'yes': 2171, 'long': 2105, 'head': 2102, 'live': 2070, 'party': 2060, 'try': 2044, 'last': 2030, 'man': 2011, 'boy': 1992, 'friend': 1985, 'body': 1972, 'tonight': 1942, 'stop': 1912, 'die': 1891, 'run': 1878, 'kiss': 1869, 'god': 1866, 'mine': 1861, 'there': 1828, 'hurt': 1823, 'daddy': 1821, 'use': 1819, 'end': 1810, 'nothing': 1803, 'around': 1780, 'something': 1777, 'ever': 1774, 'low': 1767, 'bet': 1760, 'light': 1757, 'miss': 1742, 'home': 1740, 'walk': 1729, 'name': 1703, 'someone': 1700, 'ask': 1699, 'lie': 1696, 'please': 1654, 'wait': 1619, 'hit': 1612, 'song': 1565, 'dream': 1559, 'mommy': 1556, 'care': 1539, 'show': 1508, 'people': 1502, 'really': 1486, 'many': 1478, 'tear': 1469, 'new': 1457, 'touch': 1441, 'watch': 1435, 'anything': 1423, 'place': 1422, 'first': 1412, 'will': 1408, 'real': 1383, 'play': 1381, 'move': 1349, 'dey': 1345, 'sing': 1345, 'enough': 1328, 'throw': 1317, 'nobody': 1313, 'bed': 1308, 'smoke': 1307, 'huh': 1298, 'change': 1289, 'inside': 1284, 'everyone': 1272, 'sleep': 1268, 'sweat': 1263, 'star': 1263, 'together': 1260, 'understand': 1252, 'ticket': 1242, 'meet': 1231, 'remember': 1231, 'hear': 1221, 'hard': 1220, 'high': 1219, 'sun': 1219, 'bout': 1215, 'babe': 1215, 'lot': 1197, 'big': 1194, 'bring': 1183, 'house': 1173, 'listen': 1169, 'save': 1160, 'worry': 1145, 'alright': 1144, 'matter': 1144, 'gon': 1130, 'buy': 1127, 'hate': 1126, 'longer': 1126, 'else': 1125, 'street': 1121, 'saw': 1119, 'beautiful': 1116, 'maybe': 1108, 'wish': 1103, 'sometimes': 1103, 'beat': 1102, 'eat': 1102, 'shoot': 1093, 'fly': 1092, 'stand': 1087, 'side': 1078, 'damn': 1072, 'guy': 1067, 'fire': 1060, 'write': 1032, 'believe': 1023, 'word': 1019, 'cold': 1018, 'car': 1009, 'close': 1004, 'best': 1000, 'hot': 994, 'drop': 994, 'sit': 987, 'hope': 982, 'pain': 980, 'work': 978, 'top': 977, 'shake': 976, 'start': 975, 'burn': 974, 'smile': 970, 'sky': 951, 'wake': 950, 'since': 950, 'three': 949, 'room': 944, 'fine': 941, 'old': 935, 'anyone': 919, 'sorry': 917, 'pretty': 916, 'memory': 899, 'phone': 894, 'doctor': 893, 'stick': 890, 'tomorrow': 878, 'next': 873, 'shine': 867, 'far': 867, 'music': 861, 'whole': 859, 'fight': 856, 'do': 854, 'wrong': 854, 'year': 853, 'soul': 850, 'wear': 848, 'sound': 844, 'spend': 839, 'moment': 839, 'though': 832, 'whats': 826, 'send': 826, 'problem': 824, 'morning': 815, 'hour': 814, 'note': 795, 'happy': 791, 'mean': 779, 'wow': 779, 'pull': 772, 'forever': 768, 'full': 758, 'rich': 752, 'flow': 750, 'four': 748, 'mouth': 745, 'dark': 741, 'ready': 740, 'young': 738, 'trust': 735, 'til': 732, 'feat': 731, 'sure': 730, 'mother': 728, 'brother': 726, 'black': 720, 'late': 719, 'round': 709, 'behind': 696, 'woman': 695, 'arm': 689, 'free': 680, 'ride': 669, 'hair': 666, 'drive': 666, 'afraid': 663, 'skin': 662, 'gang': 662, 'taste': 661, 'rather': 656, 'bastard': 655, 'reason': 644, 'city': 644, 'hide': 642, 'thousand': 642, 'easy': 642, 'lover': 641, 'speak': 637, 'happen': 637, 'superman': 636, 'cut': 632, 'sweet': 631, 'wave': 629, 'rest': 627, 'roll': 623, 'rain': 613, 'bar': 612, 'lip': 611, 'although': 611, 'felt': 610, 'lady': 606, 'pussy': 601, 'catch': 599, 'player': 598, 'follow': 597, 'road': 597, 'diamond': 595, 'become': 595, 'bottle': 595, 'check': 594, 'worth': 593, 'heat': 592, 'havent': 592, 'wind': 588, 'open': 587, 'empty': 585, 'story': 584, 'bite': 583, 'hello': 579, 'rock': 578, 'everybody': 578, 'game': 578, 'unholy': 577, 'calm': 576, 'step': 576, 'spit': 576, 'drug': 574, 'who': 572, 'cat': 571, 'red': 570, 'hell': 567, 'tire': 566, 'glass': 564, 'pay': 563, 'win': 563, 'bear': 563, 'hundred': 558, 'person': 557, 'front': 556, 'fast': 555, 'may': 554, 'flower': 553, 'rise': 552, 'five': 547, 'blue': 547, 'alive': 540, 'king': 536, 'perfect': 535, 'slowly': 535, 'small': 534, 'set': 534, 'different': 531, 'deep': 530, 'sell': 522, 'sex': 520, 'tra': 515, 'grow': 514, 'voice': 513, 'must': 512, 'plan': 512, 'shop': 508, 'club': 507, 'forgive': 506, 'regret': 505, 'ten': 504, 'door': 500, 'fear': 499, 'sea': 499, 'main': 495, 'swear': 495, 'scream': 494, 'bunny': 492, 'dog': 491, 'dick': 486, 'somebody': 484, 'cloud': 483, 'help': 480, 'guess': 477, 'learn': 476, 'air': 476, 'sad': 471, 'men': 469, 'woo': 468, 'ring': 468, 'promise': 467, 'middle': 466, 'white': 465, 'return': 463, 'smell': 462, 'yesterday': 462, 'repeat': 462, 'outside': 459, 'dead': 456, 'yah': 456, 'mirror': 455, 'jump': 452, 'theyre': 449, 'bag': 447, 'dress': 447, 'mistake': 446, 'lonely': 444, 'true': 444, 'fell': 444, 'couple': 443, 'truth': 439, 'piece': 438, 'laugh': 435, 'whip': 434, 'child': 434, 'devil': 432, 'hotel': 431, 'rap': 431, 'fit': 430, 'secret': 429, 'record': 428, 'past': 427, 'fool': 425, 'part': 424, 'control': 423, 'wall': 423, 'continue': 423, 'act': 423, 'wonder': 422, 'favorite': 421, 'attention': 421, 'reach': 419, 'wherever': 419, 'moon': 419, 'liar': 418, 'gold': 413, 'rush': 413, 'line': 412, 'block': 411, 'peace': 410, 'water': 410, 'answer': 408, 'dad': 403, 'pretend': 402, 'choose': 402, 'style': 401, 'cover': 401, 'steal': 401, 'slow': 400, 'table': 399, 'cash': 397, 'straight': 397, 'thank': 395, 'whoa': 395, 'raise': 394, 'lead': 393, 'bop': 393, 'foot': 392, 'murder': 390, 'wouldnt': 390, 'cool': 390, 'photo': 389, 'wan': 385, 'neck': 385, 'bone': 385, 'point': 383, 'chi': 382, 'mood': 381, 'half': 381, 'soon': 380, 'yet': 379, 'mad': 379, 'fun': 378, 'kind': 377, 'magic': 377, 'carry': 376, 'mature': 375, 'single': 375, 'text': 374, 'waste': 374, 'arrive': 372, 'apart': 371, 'treat': 371, 'case': 371, 'summer': 365, 'suck': 365, 'switch': 363, 'pray': 363, 'floor': 362, 'angel': 362, 'almost': 361, 'clothe': 359, 'asleep': 355, 'cup': 355, 'heaven': 355, 'enjoy': 355, 'somewhere': 354, 'death': 354, 'fault': 353, 'bless': 353, 'lucky': 352, 'father': 352, 'hoe': 350, 'future': 350, 'pocket': 349, 'chest': 347, 'able': 345, 'sand': 344, 'count': 344, 'fan': 342, 'pick': 341, 'beach': 341, 'pink': 340, 'stone': 339, 'deserve': 338, 'simple': 337, 'blow': 337, 'chain': 336, 'alcohol': 335, 'picture': 333, 'idea': 329, 'movie': 329, 'mummy': 327, 'respect': 327, 'grind': 327, 'month': 325, 'war': 324, 'warm': 324, 'form': 323, 'lay': 321, 'safe': 320, 'doubt': 317, 'clean': 315, 'minute': 315, 'either': 315, 'business': 314, 'moonlight': 314, 'lock': 314, 'shut': 314, 'job': 313, 'screw': 312, 'blood': 311, 'whatever': 308, 'everywhere': 308, 'wet': 306, 'nice': 305, 'chance': 304, 'finish': 304, 'green': 303, 'desire': 302, 'dollar': 301, 'dirty': 300, 'mess': 300, 'dawn': 300, 'second': 299, 'window': 299, 'notice': 298, 'brown': 297, 'fake': 297, 'pure': 297, 'none': 295, 'sunrise': 292, 'number': 292, 'wrap': 291, 'clearly': 291, 'breathe': 291, 'bottom': 290, 'honest': 290, 'track': 290, 'shady': 290, 'sick': 288, 'ahead': 286, 'loose': 286, 'short': 286, 'distance': 285, 'paint': 284, 'read': 281, 'hole': 280, 'teach': 280, 'town': 279, 'course': 279, 'ice': 279, 'trip': 278, 'kick': 277, 'bye': 277, 'park': 277, 'twenty': 276, 'along': 273, 'gun': 273, 'pose': 271, 'sense': 269, 'patience': 266, 'forty': 266, 'gum': 265, 'flight': 264, 'weve': 264, 'breath': 263, 'whore': 263, 'brain': 261, 'sin': 261, 'fix': 261, 'bright': 261, 'link': 260, 'imagine': 259, 'cross': 259, 'slim': 258, 'six': 257, 'least': 256, 'spin': 256, 'force': 256, 'brand': 255, 'snap': 255, 'clear': 255, 'woof': 255, 'finally': 254, 'drum': 254, 'busy': 252, 'mein': 251, 'color': 250, 'normal': 250, 'marry': 249, 'drown': 249, 'explain': 249, 'twice': 248, 'beg': 248, 'sign': 248, 'cute': 248, 'drama': 247, 'begin': 247, 'shy': 246, 'suit': 246, 'build': 245, 'match': 245, 'angry': 244, 'cell': 244, 'double': 243, 'pleasure': 243, 'pour': 242, 'wine': 241, 'land': 241, 'heel': 240, 'blame': 240, 'blind': 240, 'push': 239, 'escape': 239, 'dear': 239, 'seat': 239, 'twelve': 238, 'ball': 238, 'harry': 237, 'boom': 236, 'dust': 236, 'leaf': 236, 'worst': 235, 'knee': 234, 'quiet': 234, 'fade': 234, 'naked': 233, 'space': 233, 'team': 233, 'race': 232, 'champagne': 232, 'nine': 232, 'model': 231, 'deal': 231, 'test': 231, 'bank': 231, 'trap': 231, 'probably': 230, 'ear': 229, 'enemy': 229, 'trouble': 229, 'dum': 229, 'float': 228, 'enter': 228, 'family': 227, 'hopeless': 227, 'poppin': 226, 'finger': 226, 'youd': 226, 'anyway': 226, 'disappear': 225, 'delicious': 225, 'cost': 225, 'ago': 225, 'glow': 224, 'shout': 224, 'pop': 222, 'dare': 222, 'mercy': 221, 'scene': 221, 'pack': 221, 'willie': 221, 'faith': 220, 'lane': 220, 'rapper': 220, 'key': 220, 'son': 220, 'lower': 219, 'sweater': 218, 'neighborhood': 218, 'hero': 217, 'quickly': 217, 'luck': 217, 'stupid': 215, 'question': 215, 'type': 214, 'darkness': 214, 'quick': 214, 'chase': 214, 'role': 213, 'grab': 212, 'cocaine': 211, 'message': 211, 'fact': 210, 'difficult': 210, 'passion': 209, 'hug': 209, 'video': 208, 'sister': 208, 'fame': 208, 'grass': 208, 'post': 207, 'june': 207, 'art': 206, 'whenever': 206, 'crowd': 205, 'important': 204, 'symptom': 203, 'decide': 203, 'phi': 203, 'guarantee': 200, 'doll': 199, 'congratulate': 199, 'happiness': 198, 'happier': 197, 'strong': 197, 'honey': 195, 'shade': 195, 'bandit': 195, 'harder': 195, 'level': 195, 'band': 194, 'grave': 194, 'bullet': 194, 'golden': 193, 'nana': 193, 'saint': 192, 'power': 192, 'fret': 192, 'great': 191, 'realize': 191, 'tera': 191, 'page': 190, 'wife': 189, 'han': 189, 'yellow': 188, 'excuse': 188, 'cigarette': 188, 'wolf': 188, 'suddenly': 188, 'price': 187, 'dope': 187, 'zero': 187, 'gym': 187, 'private': 187, 'action': 187, 'situation': 186, 'energy': 186, 'vision': 186, 'thug': 186, 'whoever': 186, 'tie': 185, 'plane': 185, 'swallow': 185, 'snow': 185, 'super': 184, 'pass': 184, 'shoulder': 183, 'shirt': 183, 'sugar': 183, 'hook': 183, 'addict': 183, 'tight': 182, 'jaw': 182, 'paper': 181, 'shoe': 181, 'stuff': 181, 'view': 181, 'demon': 181, 'bang': 181, 'flame': 180, 'lift': 180, 'later': 180, 'erase': 179, 'sober': 178, 'hood': 178, 'weekend': 178, 'seem': 177, 'sight': 177, 'spread': 177, 'heartless': 177, 'candy': 176, 'strange': 176, 'closer': 176, 'bug': 176, 'fresh': 176, 'fat': 175, 'higher': 175, 'mere': 175, 'lick': 174, 'share': 174, 'tongue': 174, 'queen': 174, 'refuse': 174, 'weed': 173, 'broad': 172, 'mission': 172, 'lately': 172, 'account': 172, 'suppose': 172, 'corner': 172, 'jail': 171, 'news': 171, 'holy': 171, 'week': 171, 'contact': 171, 'worse': 170, 'throat': 170, 'cake': 169, 'toy': 169, 'noise': 169, 'country': 169, 'dude': 169, 'order': 168, 'habit': 168, 'tree': 168, 'prefer': 168, 'umbrella': 168, 'crime': 167, 'badly': 167, 'mix': 167, 'expensive': 167, 'phase': 167, 'legend': 166, 'crack': 166, 'complete': 166, 'rid': 165, 'nasty': 165, 'silence': 165, 'wire': 164, 'kitten': 164, 'dry': 164, 'shadow': 164, 'hip': 163, 'school': 163, 'bounce': 162, 'relationship': 162, 'interest': 162, 'cheese': 162, 'anybody': 161, 'evil': 161, 'tattoo': 160, 'lord': 160, 'suffer': 160, 'winter': 160, 'haze': 159, 'entertain': 159, 'darling': 159, 'loud': 159, 'perfume': 159, 'stage': 158, 'scar': 158, 'amber': 158, 'nowhere': 157, 'fail': 157, 'nightmare': 156, 'skinny': 156, 'lifetime': 156, 'wheel': 156, 'load': 156, 'anywhere': 154, 'foreign': 154, 'undress': 154, 'ultra': 154, 'blunt': 153, 'press': 153, 'wild': 153, 'history': 153, 'among': 153, 'card': 153, 'bum': 152, 'flex': 152, 'ditto': 152, 'toxic': 152, 'aha': 152, 'island': 152, 'kilo': 152, 'heavy': 152, 'cap': 151, 'plain': 151, 'slap': 151, 'upper': 151, 'ocean': 151, 'jerk': 151, 'shark': 151, 'area': 151, 'cannot': 150, 'squeeze': 150, 'tune': 150, 'deny': 150, 'welcome': 150, 'leg': 150, 'neither': 150, 'state': 149, 'shed': 149, 'remind': 149, 'someday': 149, 'tail': 149, 'pressure': 149, 'lack': 149, 'numb': 148, 'jean': 148, 'bleed': 148, 'oclock': 148, 'awake': 148, 'rack': 147, 'slaughter': 147, 'knock': 147, 'apartment': 146, 'chick': 146, 'belly': 146, 'sheet': 146, 'dumb': 145, 'liquor': 145, 'police': 145, 'teatime': 144, 'apple': 144, 'weight': 144, 'ceiling': 144, 'draw': 144, 'shallow': 144, 'balance': 144, 'booty': 143, 'swim': 143, 'universe': 143, 'paradise': 143, 'taxi': 142, 'league': 142, 'wing': 142, 'bus': 142, 'wed': 142, 'radio': 141, 'date': 141, 'blah': 141, 'directly': 140, 'flood': 140, 'fantasy': 140, 'silent': 140, 'clock': 140, 'field': 140, 'sink': 140, 'sip': 140, 'early': 140, 'stare': 139, 'surprise': 139, 'drip': 139, 'brunette': 139, 'rah': 139, 'nail': 138, 'molly': 138, 'pow': 138, 'combine': 138, 'list': 138, 'gift': 138, 'west': 138, 'class': 137, 'present': 137, 'mile': 137, 'dangerous': 137, 'eternal': 137, 'bend': 137, 'criminal': 137, 'tale': 136, 'speed': 136, 'jealous': 136, 'fashion': 135, 'monster': 135, 'crash': 135, 'forgiveness': 135, 'fifty': 135, 'bam': 135, 'panty': 134, 'circle': 134, 'tame': 134, 'cop': 134, 'tour': 134, 'mambo': 134, 'freeze': 134, 'position': 133, 'palm': 133, 'uncle': 133, 'gangster': 133, 'exhaust': 132, 'waist': 132, 'remix': 132, 'serious': 132, 'completely': 132, 'evidence': 131, 'gravity': 131, 'champion': 131, 'sunset': 130, 'sexy': 130, 'studio': 130, 'hesitate': 130, 'confuse': 130, 'figure': 130, 'joint': 129, 'spaceship': 129, 'adventure': 129, 'box': 129, 'often': 129, 'involve': 129, 'here': 128, 'shiver': 128, 'melt': 128, 'celebrate': 127, 'hush': 126, 'funny': 126, 'poison': 126, 'behave': 126, 'melody': 126, 'dancer': 126, 'unless': 125, 'wit': 125, 'bae': 125, 'plenty': 125, 'cheer': 125, 'bother': 125, 'bell': 124, 'system': 124, 'food': 124, 'heal': 124, 'remain': 124, 'coffee': 123, 'yell': 123, 'envy': 123, 'special': 123, 'relive': 123, 'bird': 123, 'therapist': 122, 'plate': 122, 'spring': 122, 'truck': 122, 'neighbor': 122, 'rule': 122, 'center': 122, 'impossible': 122, 'instead': 122, 'jungle': 122, 'grr': 122, 'stranger': 121, 'mark': 121, 'guard': 121, 'eight': 121, 'risk': 120, 'mode': 120, 'seven': 120, 'river': 120, 'weather': 120, 'pusher': 120, 'value': 119, 'admit': 119, 'festival': 119, 'market': 118, 'wey': 118, 'cane': 118, 'roof': 118, 'lipstick': 117, 'stiffen': 117, 'cream': 117, 'stress': 117, 'shame': 117, 'ugly': 116, 'witness': 116, 'across': 116, 'gas': 116, 'amen': 116, 'search': 116, 'law': 116, 'sir': 116, 'toward': 115, 'belong': 115, 'funk': 115, 'victim': 115, 'hunt': 115, 'spiteful': 115, 'focus': 114, 'lyric': 114, 'within': 114, 'soft': 114, 'unstoppable': 114, 'kitchen': 114, 'earth': 114, 'careful': 114, 'hang': 114, 'fate': 114, 'crush': 113, 'gay': 113, 'controversy': 113, 'highway': 112, 'aid': 112, 'chew': 112, 'cha': 112, 'signal': 112, 'beer': 112, 'ruin': 112, 'bigger': 112, 'ash': 112, 'nonsense': 111, 'toe': 111, 'innocent': 111, 'hum': 111, 'destiny': 110, 'path': 110, 'romance': 109, 'human': 109, 'dive': 109, 'release': 109, 'antihero': 108, 'difference': 108, 'desperate': 108, 'accept': 108, 'fragile': 108, 'theyll': 107, 'chip': 107, 'lighter': 106, 'midnight': 106, 'animal': 106, 'string': 106, 'damage': 106, 'brake': 106, 'travel': 106, 'climb': 106, 'ahem': 106, 'swing': 105, 'thirsty': 105, 'sorrow': 105, 'patient': 105, 'surround': 105, 'shrink': 105, 'runway': 104, 'inch': 104, 'tap': 104, 'chop': 104, 'shall': 104, 'cheap': 104, 'jet': 104, 'train': 104, 'clip': 104, 'several': 104, 'protect': 104, 'nova': 103, 'ebony': 103, 'ivory': 103, 'playboy': 103, 'sunshine': 103, 'gin': 103, 'glad': 103, 'zone': 102, 'centerpiece': 102, 'prayer': 102, 'somehow': 102, 'stomach': 102, 'delete': 102, 'exactly': 102, 'piano': 102, 'confess': 102, 'twist': 102, 'fifteen': 102, 'frost': 101, 'teeth': 101, 'effect': 101, 'avoid': 101, 'venom': 101, 'dignity': 101, 'compare': 101, 'decision': 100, 'vice': 100, 'hotter': 100, 'hoodie': 100, 'joy': 100, 'para': 100, 'cleaner': 99, 'oil': 99, 'strength': 99, 'buttock': 99, 'naughty': 99, 'goal': 99, 'marijuana': 99, 'argue': 99, 'forward': 99, 'balcony': 99, 'lightweight': 98, 'competition': 98, 'knife': 98, 'rude': 98, 'shimmer': 98, 'third': 98, 'machine': 98, 'actually': 98, 'cent': 98, 'stack': 98, 'horse': 98, 'age': 97, 'near': 97, 'toto': 97, 'snore': 97, 'charge': 97, 'letter': 97, 'lean': 97, 'conversation': 97, 'martin': 97, 'ana': 97, 'actin': 96, 'bathroom': 96, 'square': 96, 'silver': 96, 'camera': 96, 'verse': 96, 'faithful': 96, 'guilty': 96, 'purple': 96, 'ton': 96, 'describe': 95, 'nerve': 95, 'rookie': 95, 'motorcycle': 95, 'chorus': 95, 'triple': 95, 'whoo': 95, 'poor': 95, 'curse': 95, 'parent': 95, 'cheat': 94, 'pride': 94, 'pant': 94, 'burst': 94, 'skirt': 94, 'flag': 94, 'heartbeat': 94, 'sneaky': 93, 'glitter': 93, 'season': 93, 'flash': 93, 'talent': 93, 'confusion': 93, 'jay': 93, 'bass': 92, 'sunlight': 92, 'invite': 92, 'iron': 92, 'islander': 92, 'necessary': 92, 'rot': 92, 'sport': 92, 'freedom': 92, 'husband': 92, 'maze': 91, 'splash': 91, 'plus': 91, 'beauty': 91, 'wrist': 91, 'coincidence': 91, 'obvious': 91, 'hungry': 91, 'book': 91, 'toast': 90, 'afternoon': 90, 'comfort': 90, 'dale': 90, 'emotion': 90, 'bra': 90, 'gray': 89, 'oh': 89, 'wallet': 89, 'seriously': 89, 'hater': 89, 'titi': 89, 'company': 89, 'tea': 89, 'steam': 88, 'older': 88, 'ignore': 88, 'judge': 88, 'gaze': 88, 'convince': 88, 'bore': 88, 'willy': 88, 'aware': 88, 'messy': 88, 'steady': 87, 'baba': 87, 'rhyme': 87, 'expect': 87, 'beyond': 87, 'dash': 86, 'cuff': 86, 'disappointment': 86, 'dandelion': 86, 'hurry': 86, 'madness': 86, 'owner': 86, 'success': 86, 'shin': 86, 'comment': 86, 'whisper': 85, 'weak': 85, 'breakfast': 85, 'york': 85, 'false': 85, 'candle': 85, 'rub': 85, 'leather': 85, 'vain': 85, 'believer': 85, 'gossip': 85, 'pin': 84, 'pen': 84, 'pierce': 84, 'tease': 84, 'tee': 84, 'gate': 84, 'bread': 84, 'crown': 84, 'pimp': 84, 'wash': 84, 'pal': 84, 'playa': 84, 'ski': 84, 'boot': 84, 'paw': 84, 'limit': 84, 'sadness': 84, 'coke': 84, 'tit': 84, 'bloom': 84, 'rag': 83, 'tall': 83, 'visit': 83, 'ouch': 83, 'click': 83, 'obviously': 83, 'snooze': 82, 'mockingbird': 82, 'piss': 82, 'yoga': 82, 'chemistry': 82, 'thirty': 82, 'ship': 82, 'reality': 82, 'warrior': 82, 'reserve': 82, 'garden': 82, 'daughter': 82, 'bracelet': 81, 'swag': 81, 'tempo': 81, 'active': 81, 'plaza': 81, 'wide': 81, 'barcelona': 81, 'shell': 81, 'vein': 81, 'bin': 81, 'choke': 81, 'lion': 81, 'sauce': 81, 'portrait': 81, 'boat': 81, 'cherry': 80, 'crib': 80, 'flat': 80, 'fish': 80, 'ease': 80, 'character': 80, 'spite': 80, 'attack': 80, 'pair': 80, 'mask': 80, 'guest': 80, 'cheek': 80, 'mountain': 80, 'north': 80, 'hop': 80, 'bitter': 80, 'banger': 79, 'blast': 79, 'shelter': 79, 'code': 79, 'trash': 79, 'afar': 79, 'pitcher': 79, 'agree': 79, 'healthy': 79, 'sincere': 79, 'pah': 79, 'voyage': 79, 'remorse': 78, 'muse': 78, 'swift': 78, 'banga': 78, 'screen': 78, 'intention': 78, 'rug': 78, 'desert': 78, 'van': 78, 'spoil': 78, 'connect': 78, 'client': 78, 'rover': 77, 'bury': 77, 'suite': 77, 'superhero': 77, 'complicate': 77, 'enroll': 77, 'caress': 77, 'bomb': 77, 'stubborn': 77, 'support': 77, 'butterfly': 77, 'orange': 76, 'gather': 76, 'debt': 76, 'pot': 76, 'scent': 76, 'choice': 76, 'slide': 76, 'location': 76, 'warmth': 76, 'devour': 76, 'album': 76, 'opportunity': 76, 'failure': 76, 'prove': 76, 'appear': 75, 'chrome': 75, 'sock': 75, 'relax': 75, 'offer': 75, 'picket': 75, 'score': 75, 'loneliness': 75, 'insane': 75, 'blade': 75, 'dinner': 75, 'undercover': 75, 'salty': 74, 'dot': 74, 'naam': 74, 'rip': 74, 'rat': 74, 'ecstasy': 74, 'handle': 74, 'vacation': 74, 'weakness': 74, 'violent': 74, 'tower': 74, 'tan': 74, 'joke': 74, 'honestly': 74, 'ghetto': 74, 'receive': 74, 'ching': 74, 'traffic': 74, 'pound': 74, 'lump': 74, 'sofa': 74, 'hat': 74, 'size': 73, 'edge': 73, 'lame': 73, 'tequila': 73, 'slip': 73, 'possible': 73, 'idiot': 73, 'sucker': 73, 'embrace': 73, 'version': 72, 'armor': 72, 'lavender': 72, 'archangel': 72, 'jordan': 72, 'horn': 72, 'base': 72, 'storm': 72, 'experience': 72, 'kitty': 72, 'pending': 72, 'colleague': 72, 'tony': 72, 'bliss': 72, 'poppy': 72, 'vie': 72, 'beam': 71, 'lease': 71, 'planet': 71, 'upset': 71, 'gaby': 71, 'con': 71, 'advantage': 71, 'fee': 71, 'thunder': 71, 'extra': 71, 'dough': 71, 'perfectly': 70, 'settle': 70, 'tremendous': 70, 'danger': 70, 'rhythm': 70, 'scratch': 70, 'perhaps': 70, 'upon': 70, 'wiggle': 70, 'owe': 70, 'demand': 70, 'fearless': 70, 'scheme': 69, 'spot': 69, 'excite': 69, 'comfortable': 69, 'mar': 69, 'opposite': 69, 'spirit': 69, 'trade': 69, 'comb': 69, 'romantic': 69, 'gram': 69, 'painful': 69, 'boo': 69, 'ban': 69, 'museum': 69, 'yam': 69, 'rubber': 68, 'pie': 68, 'miny': 68, 'dreamer': 68, 'strike': 68, 'willer': 68, 'intense': 68, 'except': 68, 'grape': 68, 'pity': 68, 'justify': 68, 'winner': 67, 'drake': 67, 'soldier': 67, 'pole': 67, 'trick': 67, 'loco': 67, 'partner': 67, 'group': 67, 'remove': 67, 'tip': 67, 'final': 67, 'exploit': 67, 'cest': 67, 'strive': 67, 'peach': 66, 'fuse': 66, 'depression': 66, 'church': 66, 'wipe': 66, 'vacuum': 66, 'ghost': 66, 'creep': 66, 'divide': 66, 'hardly': 66, 'san': 66, 'jam': 66, 'ray': 66, 'hopefully': 66, 'farmer': 65, 'device': 65, 'seal': 65, 'biggest': 65, 'smack': 65, 'prescription': 65, 'ford': 65, 'mall': 65, 'guide': 65, 'notebook': 65, 'join': 65, 'attitude': 65, 'towards': 65, 'sech': 65, 'laughter': 65, 'mary': 65, 'per': 65, 'fair': 65, 'medicine': 65, 'stray': 65, 'rodeo': 64, 'afford': 64, 'violence': 64, 'pitch': 64, 'south': 64, 'maria': 64, 'greet': 64, 'mellow': 63, 'public': 63, 'unapologetic': 63, 'rust': 63, 'gravy': 63, 'touchdown': 63, 'koi': 63, 'topic': 63, 'concert': 63, 'exist': 63, 'amaze': 63, 'bloody': 63, 'autumn': 63, 'ration': 62, 'radiant': 62, 'bust': 62, 'college': 62, 'serve': 62, 'blouse': 62, 'dizzy': 62, 'everyday': 62, 'claim': 62, 'childhood': 62, 'cure': 62, 'whether': 62, 'replace': 62, 'exclusive': 62, 'contract': 62, 'suicidal': 62, 'embarrass': 62, 'wile': 62, 'sweaty': 61, 'fighter': 61, 'blonde': 61, 'garage': 61, 'trophy': 61, 'pool': 61, 'dom': 61, 'belt': 61, 'add': 61, 'classic': 61, 'quite': 61, 'amor': 61, 'bubble': 61, 'drag': 61, 'princess': 61, 'explode': 61, 'direction': 61, 'nude': 61, 'amazement': 60, 'chalk': 60, 'prize': 60, 'ordinary': 60, 'tennis': 60, 'vulture': 60, 'bedroom': 60, 'replacement': 60, 'cortina': 60, 'hall': 60, 'sab': 60, 'mention': 60, 'missionary': 60, 'nose': 60, 'effort': 60, 'chopper': 60, 'endless': 60, 'moan': 60, 'essence': 60, 'cock': 60, 'anger': 60, 'toa': 60, 'presentiment': 60, 'current': 60, 'conform': 59, 'disguise': 59, 'papa': 59, 'meter': 59, 'pit': 59, 'famous': 59, 'physic': 59, 'pic': 59, 'image': 59, 'heave': 59, 'paranoid': 59, 'apologize': 59, 'mansion': 59, 'insist': 59, 'shooter': 59, 'artist': 59, 'satisfy': 59, 'charm': 59, 'capital': 59, 'yard': 59, 'copy': 59, 'pam': 59, 'teacher': 59, 'powder': 59, 'range': 58, 'monkey': 58, 'hain': 58, 'bridge': 58, 'lung': 58, 'panic': 58, 'distant': 58, 'advance': 58, 'pistol': 58, 'scatter': 58, 'lazy': 57, 'dish': 57, 'grace': 57, 'puzzle': 57, 'row': 57, 'oxygen': 57, 'plastic': 57, 'curve': 57, 'overtake': 57, 'bikini': 57, 'monotony': 57, 'otherwise': 57, 'slut': 57, 'honesty': 57, 'coach': 56, 'joker': 56, 'shift': 56, 'meaningless': 56, 'elevate': 56, 'criticize': 56, 'thin': 56, 'grey': 56, 'dedicate': 56, 'exchange': 56, 'tape': 56, 'measure': 56, 'address': 56, 'shore': 56, 'brave': 56, 'bah': 56, 'cage': 56, 'cruel': 56, 'smart': 56, 'resist': 56, 'peso': 56, 'snatch': 56, 'par': 56, 'dome': 56, 'machi': 56, 'coast': 55, 'narcissism': 55, 'lavish': 55, 'carat': 55, 'chart': 55, 'grand': 55, 'grudge': 55, 'invest': 55, 'fancy': 55, 'nightfall': 55, 'frown': 55, 'tremble': 55, 'fog': 55, 'weapon': 55, 'chair': 55, 'language': 55, 'trailer': 55, 'grateful': 55, 'weird': 55, 'career': 55, 'daily': 55, 'hah': 55, 'willow': 55, 'cum': 55, 'solve': 55, 'o': 55, 'forest': 55, 'coconut': 55, 'crisis': 54, 'selfish': 54, 'distinguish': 54, 'substance': 54, 'dip': 54, 'wonderful': 54, 'forbid': 54, 'revenge': 54, 'beast': 54, 'border': 54, 'favor': 54, 'bike': 54, 'karma': 54, 'option': 54, 'void': 54, 'betrayal': 54, 'fairy': 54, 'crap': 54, 'corduroy': 54, 'drift': 54, 'rocket': 53, 'unknown': 53, 'kneel': 53, 'unite': 53, 'cook': 53, 'wander': 53, 'buck': 53, 'health': 53, 'disaster': 53, 'loyal': 53, 'cast': 53, 'complain': 53, 'whiskey': 53, 'prince': 53, 'quit': 53, 'sword': 53, 'whose': 53, 'scare': 53, 'precinct': 52, 'finer': 52, 'din': 52, 'temptation': 52, 'viral': 52, 'glimpse': 52, 'watermelon': 52, 'clap': 52, 'fist': 52, 'punishment': 52, 'eighteen': 52, 'thief': 52, 'outfit': 52, 'throne': 52, 'luggage': 52, 'environment': 52, 'jealousy': 52, 'map': 52, 'hammer': 52, 'familiar': 52, 'wither': 52, 'trend': 52, 'unlock': 52, 'plug': 52, 'attic': 52, 'definitely': 52, 'quarter': 52, 'package': 52, 'quality': 52, 'proof': 52, 'groom': 52, 'respond': 51, 'context': 51, 'smudge': 51, 'modern': 51, 'writer': 51, 'sinner': 51, 'thong': 51, 'trigger': 51, 'wood': 51, 'store': 51, 'cowboy': 51, 'journey': 51, 'frontier': 51, 'captain': 51, 'nonstop': 51, 'rescue': 51, 'spell': 51, 'emergency': 51, 'loss': 51, 'counter': 51, 'dig': 51, 'shutdown': 51, 'smoker': 50, 'quote': 50, 'glorious': 50, 'jar': 50, 'casket': 50, 'motor': 50, 'usually': 50, 'strip': 50, 'genius': 50, 'aura': 50, 'rob': 50, 'hack': 50, 'pipe': 50, 'poem': 50, 'presence': 50, 'advice': 50, 'footprint': 50, 'earn': 50, 'stumble': 50, 'shock': 50, 'tough': 50, 'trance': 50, 'victory': 50, 'pandora': 50, 'franc': 50, 'housewife': 49, 'toke': 49, 'ninety': 49, 'titty': 49, 'plot': 49, 'eve': 49, 'savin': 49, 'graphic': 49, 'boulder': 49, 'vacate': 49, 'rent': 49, 'adore': 49, 'meal': 49, 'shape': 49, 'guitar': 49, 'addiction': 49, 'collect': 49, 'aire': 49, 'separate': 49, 'network': 49, 'ashamed': 49, 'juicy': 49, 'credit': 49, 'lap': 49, 'blindly': 49, 'differently': 49, 'purpose': 49, 'responsibility': 49, 'coin': 49, 'choir': 49, 'courage': 49, 'study': 49, 'strap': 49, 'robbery': 49, 'cuffin': 48, 'dink': 48, 'hurricane': 48, 'smash': 48, 'gar': 48, 'large': 48, 'hostage': 48, 'riddle': 48, 'conscience': 48, 'sleeve': 48, 'deeply': 48, 'tension': 48, 'stock': 48, 'auh': 48, 'approach': 48, 'aggressive': 48, 'scoundrel': 48, 'split': 48, 'useless': 48, 'crave': 48, 'sting': 48, 'bonbon': 48, 'natural': 48, 'vodka': 48, 'designer': 48, 'bun': 48, 'honor': 48, 'disappoint': 48, 'fourth': 48, 'faster': 48, 'lesson': 48, 'roar': 48, 'dodo': 48, 'quietly': 48, 'lai': 48, 'painter': 47, 'radar': 47, 'award': 47, 'depress': 47, 'detail': 47, 'desk': 47, 'scary': 47, 'dynamite': 47, 'groan': 47, 'disgust': 47, 'youth': 47, 'harm': 47, 'appearance': 47, 'prisoner': 47, 'wise': 47, 'clown': 47, 'aye': 47, 'humble': 47, 'midst': 47, 'president': 47, 'castle': 47, 'struggle': 47, 'reporter': 46, 'blackboard': 46, 'wraith': 46, 'savage': 46, 'straighten': 46, 'pace': 46, 'mortify': 46, 'treasury': 46, 'alleyway': 46, 'jack': 46, 'freak': 46, 'motion': 46, 'absence': 46, 'chile': 46, 'seek': 46, 'collide': 46, 'envious': 46, 'dose': 46, 'farewell': 46, 'birthday': 46, 'barely': 46, 'queue': 46, 'fifth': 46, 'miracle': 46, 'hallelujah': 46, 'master': 46, 'apparatus': 46, 'tha': 45, 'nan': 45, 'total': 45, 'biscuit': 45, 'rarely': 45, 'platinum': 45, 'huge': 45, 'net': 45, 'mass': 45, 'coat': 45, 'gasoline': 45, 'adult': 45, 'surely': 45, 'film': 45, 'label': 45, 'china': 45, 'rope': 45, 'smooth': 45, 'steer': 45, 'tot': 45, 'thumb': 45, 'feed': 45, 'oath': 45, 'aim': 45, 'mystery': 45, 'layer': 45, 'easily': 45, 'sensation': 45, 'manipulate': 44, 'period': 44, 'daze': 44, 'passport': 44, 'lovely': 44, 'county': 44, 'alarm': 44, 'eleven': 44, 'student': 44, 'halfway': 44, 'spare': 44, 'dirt': 44, 'departure': 44, 'ting': 44, 'passenger': 44, 'juice': 44, 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1, 'wretch': 1, 'derrick': 1, 'utmost': 1, 'grandeur': 1, 'scribe': 1, 'steward': 1, 'classification': 1, 'subclass': 1, 'miscellaneous': 1, 'continual': 1, 'aversion': 1, 'morbid': 1, 'astute': 1, 'observation': 1, 'regimen': 1, 'medicinal': 1, 'curative': 1, 'palliative': 1, 'dint': 1, 'sagacity': 1, 'ruminate': 1, 'decree': 1, 'puree': 1, 'excessively': 1, 'no': 1, 'fatally': 1, 'campfire': 1, 'transcription': 1, 'agua': 1, 'serrano': 1, 'nervousness': 1, 'repeatedly': 1, 'sammy': 1, 'soaker': 1, 'confluence': 1, 'wrongdoing': 1, 'affirmation': 1, 'overdramatic': 1, 'untrue': 1, 'impatience': 1, 'sanctuary': 1, 'vend': 1, 'undergrad': 1, 'barse': 1, 'revert': 1, 'navy': 1, 'tubman': 1, 'baton': 1, 'attribute': 1, 'fanciful': 1, 'classical': 1, 'grammatical': 1, 'clavicle': 1, 'dynamical': 1, 'maza': 1, 'ide': 1, 'baka': 1, 'cham': 1, 'atma': 1, 'artificial': 1, 'bure': 1, 'waise': 1, 'artisan': 1, 'gangland': 1, 'topi': 1, 'blinder': 1, 'gey': 1, 'bhang': 1, 'feasible': 1, 'funky': 1, 'menses': 1, 'sunn': 1, 'haje': 1, 'tamasha': 1, 'inactive': 1, 'interactive': 1, 'lark': 1, 'nobility': 1, 'uninformed': 1, 'hokey': 1, 'spectacle': 1, 'shor': 1, 'loon': 1, 'kail': 1, 'immemorial': 1, 'sahib': 1, 'breach': 1, 'gutt': 1, 'syllabus': 1, 'oda': 1, 'jawab': 1, 'laang': 1, 'continuous': 1, 'bard': 1, 'hoy': 1, 'soya': 1, 'arrangement': 1, 'barbiturate': 1, 'banya': 1, 'consultation': 1, 'halibut': 1, 'brace': 1, 'subconsciously': 1, 'redhead': 1, 'whisperer': 1, 'anesthesia': 1, 'talentless': 1, 'seaweed': 1, 'intestine': 1, 'muggles': 1, 'hamster': 1, 'manticore': 1, 'chopin': 1, 'lexicon': 1, 'genuinely': 1, 'plenum': 1, 'calisthenics': 1, 'xylitol': 1, 'tibia': 1, 'yellowish': 1, 'radiator': 1, 'birthmark': 1, 'pornography': 1, 'boor': 1, 'spalding': 1, 'turtle': 1, 'runny': 1, 'mustachioed': 1, 'catchup': 1, 'output': 1, 'envision': 1, 'shopkeeper': 1, 'counselor': 1, 'magister': 1, 'ethanol': 1, 'relish': 1, 'caboose': 1, 'bronchus': 1, 'cesspool': 1, 'ambient': 1, 'bream': 1, 'placement': 1, 'ironman': 1, 'accomplishment': 1, 'camaraderie': 1, 'herb': 1, 'preschool': 1, 'solarium': 1, 'intangible': 1, 'debit': 1, 'errand': 1, 'hairdresser': 1, 'eyeball': 1, 'oxy': 1, 'checkbook': 1, 'moat': 1, 'clatter': 1, 'navigation': 1, 'biopsy': 1, 'gunfire': 1, 'scab': 1, 'thanatophobia': 1, 'paradoxically': 1, 'metaphor': 1, 'insignia': 1, 'sachet': 1, 'seta': 1, 'stricken': 1, 'cereal': 1, 'starfish': 1, 'bandy': 1, 'detachment': 1, 'discoloration': 1, 'projector': 1, 'elegantly': 1, 'moulin': 1, 'gauze': 1, 'hoof': 1, 'breathlessness': 1, 'proportion': 1, 'sicilian': 1, 'cappy': 1, 'haystack': 1, 'durable': 1, 'hula': 1, 'indent': 1, 'kuba': 1, 'basilisk': 1, 'liqueur': 1, 'inexhaustible': 1, 'waterproof': 1, 'foehn': 1, 'flammable': 1, 'instantaneous': 1, 'experimental': 1, 'unconventional': 1, 'bristle': 1, 'wrath': 1, 'incalculable': 1, 'helium': 1, 'undying': 1, 'vastness': 1, 'soreness': 1, 'sulk': 1, 'pedicure': 1, 'complexion': 1, 'beautician': 1, 'betide': 1, 'unwrap': 1, 'bilo': 1, 'summary': 1, 'unrelated': 1, 'galosh': 1, 'psychology': 1, 'consequently': 1, 'orthopedic': 1, 'coitus': 1, 'leaflet': 1, 'nil': 1, 'nitro': 1, 'elixir': 1, 'occupy': 1, 'moneylender': 1, 'croft': 1, 'choker': 1, 'accuracy': 1, 'comrade': 1, 'cautiously': 1, 'insulate': 1, 'drummer': 1, 'mercenary': 1, 'stature': 1, 'senator': 1, 'snobbish': 1, 'parker': 1, 'dwarf': 1, 'cit': 1, 'tofu': 1, 'encyclopedia': 1, 'profess': 1, 'budge': 1, 'monitor': 1, 'jovial': 1, 'clod': 1, 'discreetly': 1, 'imbecile': 1, 'shortness': 1, 'possessive': 1, 'permissive': 1, 'concealer': 1, 'shrug': 1, 'gastritis': 1, 'principal': 1, 'sensor': 1, 'lindo': 1, 'trashy': 1, 'disfigure': 1, 'stargaze': 1, 'belch': 1, 'legit': 1, 'godparent': 1, 'curd': 1, 'tradesman': 1, 'nanny': 1, 'removal': 1, 'limestone': 1, 'classically': 1, 'throated': 1, 'erect': 1, 'stupendous': 1, 'nationally': 1, 'sorghum': 1, 'clockwork': 1, 'seasonal': 1, 'kilt': 1, 'spatial': 1, 'infidel': 1, 'unscrew': 1, 'cheaply': 1, 'stairway': 1, 'particle': 1, 'unload': 1, 'leathery': 1, 'mow': 1, 'cacophony': 1, 'mongoose': 1, 'plural': 1, 'samp': 1, 'wapp': 1, 'sphinx': 1, 'loosely': 1, 'epithet': 1, 'leprosy': 1, 'trinket': 1, 'showmanship': 1, 'lata': 1, 'narrower': 1, 'deafen': 1, 'recur': 1, 'courtroom': 1, 'disruptive': 1, 'adieu': 1, 'muck': 1, 'mushy': 1, 'mingle': 1, 'prosecutor': 1, 'textile': 1, 'scroll': 1, 'woodpecker': 1, 'helly': 1, 'elk': 1, 'bumblebee': 1, 'altogether': 1, 'gola': 1, 'whacker': 1, 'cleanly': 1, 'jury': 1, 'lodge': 1, 'mutter': 1, 'glint': 1, 'combustible': 1, 'azalea': 1, 'gird': 1, 'thy': 1, 'vial': 1, 'shalt': 1, 'phial': 1, 'insanely': 1, 'splint': 1, 'multitude': 1, 'repay': 1, 'gur': 1, 'sepulcher': 1, 'tread': 1, 'accurse': 1, 'lingo': 1, 'lumen': 1, 'sleigh': 1, 'gunpowder': 1, 'testimonial': 1, 'acetone': 1, 'compress': 1, 'strategist': 1, 'strait': 1, 'shoelace': 1, 'trucker': 1, 'triceps': 1, 'gambia': 1, 'hovel': 1, 'haffle': 1, 'flicker': 1, 'anabolic': 1, 'vara': 1, 'iniquity': 1, 'veer': 1, 'fro': 1, 'stagecraft': 1, 'headlong': 1, 'recession': 1, 'dissident': 1, 'charter': 1, 'balm': 1, 'remorseful': 1, 'loveless': 1, 'ventilate': 1, 'esquire': 1, 'adept': 1, 'assertive': 1, 'insurgent': 1, 'arrhythmia': 1, 'overshoot': 1, 'safely': 1, 'irreparable': 1, 'workout': 1, 'chow': 1, 'chauffeur': 1, 'parliament': 1, 'performer': 1, 'headless': 1, 'quantify': 1, 'protocol': 1, 'stein': 1, 'now': 1, 'fable': 1, 'volition': 1, 'alcoholic': 1, 'resonance': 1, 'gape': 1, 'fakir': 1, 'motivational': 1, 'motivate': 1, 'navigate': 1, 'paulie': 1, 'pilgrim': 1, 'motionless': 1, 'otherness': 1, 'wobbly': 1, 'hypochondriac': 1, 'magpie': 1, 'orthodox': 1, 'moronic': 1, 'insidious': 1, 'lecture': 1, 'kop': 1, 'sodium': 1, 'kaput': 1, 'dreamland': 1, 'evocative': 1, 'coincidentally': 1, 'hopeful': 1, 'punt': 1, 'partisan': 1, 'trump': 1, 'don': 1, 'presidency': 1, 'pseudonym': 1, 'sophistication': 1, 'entice': 1, 'diction': 1, 'sicken': 1, 'immaculate': 1, 'gator': 1, 'gritty': 1, 'dissect': 1, 'remarkable': 1, 'gab': 1, 'nickel': 1, 'leer': 1, 'wary': 1, 'baht': 1, 'ointment': 1, 'retract': 1, 'freer': 1, 'ringleader': 1, 'lightless': 1, 'fanfare': 1, 'cruelly': 1, 'sullen': 1, 'decency': 1, 'extinction': 1, 'tilt': 1, 'dilapidate': 1, 'contradiction': 1, 'stella': 1, 'purgatory': 1, 'arar': 1, 'berat': 1, 'analysis': 1, 'ivy': 1, 'burry': 1, 'ado': 1, 'partridge': 1, 'expatriate': 1, 'salvo': 1, 'mislead': 1, 'makeshift': 1, 'thoroughly': 1, 'confirmation': 1, 'violate': 1, 'dishonor': 1, 'fracture': 1, 'urgently': 1, 'reverence': 1, 'jihad': 1, 'reduction': 1, 'daybreak': 1, 'nash': 1, 'bomber': 1, 'drippy': 1, 'weariness': 1, 'hurdle': 1, 'relentless': 1, 'jako': 1, 'handkerchief': 1, 'coincide': 1, 'indecisive': 1, 'knocker': 1, 'purge': 1, 'epidemic': 1, 'hypothetical': 1, 'lithe': 1, 'capsize': 1, 'translate': 1, 'establish': 1, 'mezcal': 1, 'siege': 1, 'angular': 1, 'incurable': 1, 'graze': 1, 'tiptop': 1, 'phony': 1, 'singlehandedly': 1, 'overall': 1, 'agnostic': 1, 'cascade': 1, 'lyricism': 1, 'ultimate': 1, 'evolve': 1, 'astound': 1, 'fifteenth': 1, 'charade': 1, 'congest': 1, 'layaway': 1, 'locally': 1, 'cardiology': 1, 'naw': 1, 'astrology': 1, 'calamity': 1, 'fetish': 1, 'nosebleed': 1, 'mockery': 1, 'accumulative': 1, 'copper': 1, 'blaster': 1, 'furry': 1, 'oaf': 1, 'socket': 1, 'extraterrestrial': 1, 'converter': 1, 'krypton': 1, 'scholarship': 1, 'prob': 1, 'holler': 1, 'unimpeachable': 1, 'stoic': 1, 'brandish': 1, 'essentially': 1, 'spree': 1, 'ascendancy': 1, 'panicky': 1, 'tailor': 1, 'apprentice': 1, 'fraught': 1, 'conventional': 1, 'emancipation': 1, 'foe': 1, 'violently': 1, 'spoilage': 1, 'meng': 1, 'perfunctory': 1, 'maintenance': 1, 'inability': 1, 'sculpture': 1, 'memorable': 1, 'persistent': 1, 'variation': 1, 'impermanence': 1, 'weal': 1, 'outage': 1, 'subtropical': 1, 'slavish': 1, 'redefine': 1, 'soothsayer': 1, 'nonverbal': 1, 'elm': 1, 'fertile': 1, 'pul': 1, 'hearty': 1, 'diem': 1, 'mace': 1, 'banner': 1, 'rephrase': 1, 'severely': 1, 'ostentatious': 1, 'sarcastic': 1, 'futuristic': 1, 'snowball': 1, 'soullessly': 1, 'disclaimer': 1, 'darken': 1, 'annotate': 1, 'annotation': 1, 'bracket': 1, 'alban': 1, 'riley': 1, 'voyager': 1, 'josie': 1, 'welt': 1, 'blanco': 1, 'coli': 1, 'pash': 1, 'unsuccessful': 1, 'marabou': 1, 'seductress': 1, 'heathen': 1, 'relinquish': 1, 'defection': 1, 'godless': 1, 'attune': 1, 'egocentric': 1, 'overview': 1, 'wreath': 1, 'fern': 1, 'wird': 1, 'hei': 1, 'seiner': 1, 'orc': 1, 'grove': 1, 'javelin': 1, 'tractor': 1, 'groin': 1, 'shelly': 1, 'flurry': 1, 'octagon': 1, 'summon': 1, 'cater': 1, 'loony': 1, 'offspring': 1, 'gracious': 1, 'visitor': 1, 'rebirth': 1, 'trey': 1, 'maple': 1, 'bobber': 1, 'limitation': 1, 'stile': 1, 'validate': 1, 'dysfunction': 1, 'godlike': 1, 'payroll': 1, 'existential': 1, 'forsake': 1, 'ballot': 1, 'purebred': 1, 'substitution': 1, 'bichy': 1, 'palomino': 1, 'clasp': 1, 'inadvertent': 1, 'timely': 1, 'spinach': 1, 'grumpy': 1, 'confidentiality': 1, 'flange': 1, 'provocation': 1, 'mindfulness': 1, 'hopelessly': 1, 'dispel': 1, 'sleepwalker': 1, 'puku': 1, 'mildly': 1, 'vermicelli': 1, 'constraint': 1, 'reclaim': 1, 'tyrant': 1, 'ultraviolet': 1, 'adjacent': 1, 'impermanent': 1, 'considerate': 1, 'employee': 1, 'libra': 1, 'footage': 1, 'preoccupy': 1, 'intensity': 1, 'bewilder': 1, 'perpetually': 1, 'gyroscope': 1, 'pickup': 1, 'lakeside': 1, 'dissolution': 1, 'virtuously': 1, 'animosity': 1, 'ruddy': 1, 'filial': 1, 'crystallize': 1, 'coop': 1, 'calligraphy': 1, 'tam': 1, 'housework': 1, 'powdery': 1, 'unripe': 1, 'midday': 1, 'listless': 1, 'cloudlike': 1, 'cloudless': 1, 'pharmacist': 1, 'selflessly': 1, 'foliage': 1, 'sublimation': 1, 'plunge': 1, 'eagerness': 1, 'spacious': 1, 'drizzle': 1, 'anxiously': 1, 'vector': 1, 'skeif': 1, 'congregation': 1, 'cabernet': 1, 'apostle': 1, 'fossil': 1, 'petrify': 1, 'clot': 1, 'lionel': 1, 'pneumonia': 1, 'ayu': 1, 'slowdown': 1, 'preview': 1, 'gaup': 1, 'mani': 1, 'hake': 1, 'yow': 1, 'purdy': 1, 'butternut': 1, 'spew': 1, 'volcanic': 1, 'sext': 1, 'duffel': 1, 'teamwork': 1, 'esteem': 1, 'intervene': 1, 'matrimony': 1, 'crucial': 1, 'stark': 1, 'catalogue': 1, 'household': 1, 'handout': 1, 'jagger': 1, 'gazi': 1, 'schematic': 1, 'robbin': 1, 'merciful': 1, 'nother': 1, 'godly': 1, 'mentor': 1, 'tomato': 1, 'formulation': 1, 'credential': 1}


# TOP 20 MOST FREQUENT 
top_20 = list(sorted_d.items())[:20] #get 20 key-val pairs from dict
top_20 = dict(top_20) # Convert the list to a dictionary
print(top_20)

{'like': 27075, 'know': 19940, 'love': 16436, 'get': 15532, 'want': 14420, 'yeah': 14368, 'baby': 12024, 'one': 10552, 'see': 10256, 'say': 9874, 'come': 9629, 'make': 8797, 'tell': 8594, 'take': 8104, 'let': 7988, 'time': 7914, 'might': 7779, 'feel': 7626, 'go': 7543, 'hey': 7456}


# PLOT TOP 20 TOKENS 
d = pd.DataFrame(top_20.items(), columns=['word', 'count']) 
fig = px.bar(d.sort_values(by='count', ascending=True), y='word', x='count')
fig.update_layout(title = 'Frequency of top 20 words', template = 'plotly_dark')


# PLOT TOP 50 TOKENS 
top_50 = list(sorted_d.items())[:50] 
top_50 = dict(top_50) 
d = pd.DataFrame(top_50.items(), columns=['word', 'count']) 
fig = px.bar(d.sort_values(by='count', ascending=True), y='word', x='count')
fig.update_layout(title = 'Frequency of top 50 words', template = 'plotly_dark')

	Unnamed: 0	track_id	artist_names	track_name	source	rank	weeks_on_chart	streams	country	danceability	...	duration_ms	time_signature	album_release_date	lyrics	lyrics_trans	continent	iso_alpha3	len_words_orig	len_words_trans	lyrics_clean
0	0	0yLdNVWF3Srea0uzk55zFn	Miley Cyrus	Flowers	Columbia	1	5	124198	United Arab Emirates	0.707	...	200455.0	4.0	2023-01-13	We were good, we were gold\nKinda dream that c...	we were good we were gold kinda dream that can...	Asia	ARE	334	334	good gold dream sell right til build home watc...
1	1	1Qrg8KqiBpW07V7PNxwwwL	SZA	Kill Bill	Top Dawg Entertainment/RCA Records	2	10	106927	United Arab Emirates	0.644	...	153947.0	4.0	2022-12-08	I'm still a fan even though I was salty\nHate ...	im still a fan even though i was salty hate to...	Asia	ARE	362	362	fan even though salty hate see broad know happ...
2	2	6AQbmUe0Qwf5PZnt4HmTXv	PinkPantheress, Ice Spice	Boy's a liar Pt. 2	Warner Records	3	2	83627	United Arab Emirates	0.696	...	131013.0	4.0	2023-02-03	Take a look inside your heart\nIs there any ro...	take a look inside your heart is there any roo...	Asia	ARE	372	372	take look inside heart room room would hold br...
3	3	0WtM2NBVQNNJLh6scP13H8	Rema, Selena Gomez	Calm Down (with Selena Gomez)	Mavin Records / Jonzing World	4	25	79714	United Arab Emirates	0.801	...	239318.0	4.0	2022-08-25	Vibez\nOh, no\nAnother banger\nBaby, calm down...	vibez oh no another banger baby calm down calm...	Asia	ARE	495	495	another banger baby calm calm girl body put he...
4	4	2dHHgzDwk4BJdRwy9uXhTO	Metro Boomin, The Weeknd, 21 Savage	Creepin' (with The Weeknd & 21 Savage)	Republic Records	5	11	79488	United Arab Emirates	0.715	...	221520.0	4.0	2022-12-02	Ooh, ooh-ooh\nOoh-ooh-ooh, ooh, ooh-ooh (Just ...	ooh oohooh oohoohooh ooh oohooh just cant beli...	Asia	ARE	458	456	believe man want somebody say saw person kiss ...

	streams	danceability	energy	key	loudness	mode	speechiness	acousticness	instrumentalness	liveness	valence	tempo	duration_ms	time_signature	len_words_orig	len_words_trans
count	6.809000e+03	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000	6809.000000
mean	4.645751e+05	0.686711	0.648354	5.252460	-6.359081	0.524012	0.104867	0.256297	0.017564	0.167459	0.517240	122.470919	196034.198561	3.953885	367.341754	397.202967
std	1.004412e+06	0.134797	0.151325	3.609155	2.401002	0.499460	0.095804	0.239559	0.092202	0.117771	0.220002	28.362855	46454.632618	0.279415	169.962184	167.235124
min	4.899000e+03	0.210000	0.034900	0.000000	-20.617000	0.000000	0.023200	0.000008	0.000000	0.017800	0.034200	60.001000	60000.000000	1.000000	4.000000	4.000000
25%	4.968300e+04	0.593000	0.545000	2.000000	-7.665000	0.000000	0.042500	0.062800	0.000000	0.093400	0.346000	98.035000	163886.000000	4.000000	269.000000	289.000000
50%	1.070540e+05	0.700000	0.662000	5.000000	-5.983000	1.000000	0.063600	0.171000	0.000003	0.122000	0.514000	119.985000	192000.000000	4.000000	348.000000	367.000000
75%	4.436090e+05	0.789000	0.754000	8.000000	-4.727000	1.000000	0.131000	0.391000	0.000132	0.210000	0.680000	139.981000	224427.000000	4.000000	449.000000	474.000000
max	1.608968e+07	0.981000	0.996000	11.000000	0.963000	1.000000	0.862000	0.983000	0.957000	0.960000	0.978000	235.815000	620696.000000	5.000000	3071.000000	3048.000000

	country	streams	valence	mode	loudness	acousticness	tempo	energy	liveness	key	duration_ms	instrumentalness	danceability	speechiness	len_words_orig	len_words_trans
0	Argentina	1.179263e+06	0.625626	0.404040	-5.361980	0.237290	112.951848	0.664677	0.181675	5.444444	187128.434343	0.008968	0.751545	0.117749	413.797980	451.151515
1	Australia	6.192648e+05	0.496356	0.620000	-6.315040	0.221503	125.277250	0.664310	0.159586	4.940000	199312.920000	0.020464	0.649480	0.080443	375.850000	377.470000
2	Austria	8.770041e+04	0.543645	0.474747	-6.254061	0.213266	123.259626	0.685020	0.181289	5.343434	183957.303030	0.014873	0.708828	0.106137	413.343434	420.575758
3	Belarus	2.909776e+04	0.447598	0.484211	-6.879421	0.208271	125.379137	0.670958	0.201082	4.600000	158243.378947	0.044603	0.692832	0.133614	301.589474	337.631579
4	Belgium	1.371359e+05	0.508441	0.600000	-6.345560	0.262591	125.294170	0.645270	0.151885	5.040000	197440.200000	0.017074	0.662280	0.089938	381.740000	389.690000
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
68	United Arab Emirates	3.221250e+04	0.459147	0.666667	-6.503958	0.282520	123.080115	0.625021	0.163030	5.395833	197423.093750	0.019190	0.629760	0.072226	366.343750	366.916667
69	United Kingdom	9.593073e+05	0.507231	0.642857	-6.410847	0.223069	125.682122	0.653378	0.149428	5.214286	201593.744898	0.013729	0.643010	0.098102	394.806122	394.357143
70	Uruguay	8.442847e+04	0.608344	0.437500	-5.203010	0.230471	112.094948	0.664927	0.182758	5.302083	182995.281250	0.009368	0.757583	0.126501	423.958333	461.500000
71	Venezuela	5.352543e+04	0.551919	0.454545	-5.111434	0.241461	122.753202	0.687758	0.166743	4.727273	197992.878788	0.010564	0.747020	0.116214	414.949495	454.151515
72	Vietnam	1.848383e+05	0.442502	0.684783	-8.073359	0.543023	127.640761	0.517070	0.149307	4.913043	226810.815217	0.011024	0.659815	0.063158	404.119565	379.152174

Contents¶

Exploratory Analysis ¶

Summary Statistics ¶

Data Visualization ¶

Number of streams of top 1 song¶

Correlation Matrix of Audio Features and Streams¶

Most popular words in top songs in different countries¶

Most common words in popular songs¶

Frequency distribution for tokens¶

	track_id	artist_names	track_name	source	country	album_release_date	lyrics
count	6809	6809	6809	6809	6809	6809	6809
unique	2864	2116	2830	1202	73	828	2858
top	0yLdNVWF3Srea0uzk55zFn	Bad Bunny	Flowers	Columbia	Italy	2023-01-27	We were good, we were gold\nKinda dream that c...
freq	70	140	70	340	100	205	70

	country	lyrics_clean	continent
0	Argentina	come back want get hurt lose count forgive dre...	South America
1	Australia	good gold dream sell right til build home watc...	Oceania
2	Austria	good gold dream sell right til build home watc...	Europe
3	Belarus	generally want want implant call doctor love h...	Europe
4	Belgium	good gold dream sell right til build home watc...	Europe
...	...	...	...
68	United Arab Emirates	good gold dream sell right til build home watc...	Asia
69	United Kingdom	good gold dream sell right til build home watc...	Europe
70	Uruguay	will oversize fit combine well dance see cat e...	South America
71	Venezuela	let see tell go street today baby case think w...	South America
72	Vietnam	universe want want put first universe night li...	Asia

	token	Africa	Asia	Europe	North America	Oceania	South America
0	abandon	0	6	1	13	0	20
1	abbot	0	0	0	0	0	2
2	abdomen	0	0	0	11	0	6
3	abdominal	0	0	1	0	0	0
4	abduction	0	1	1	0	0	0
...	...	...	...	...	...	...	...
11000	zombie	2	11	3	0	3	3
11001	zone	8	19	56	9	2	8
11002	zoo	1	1	3	0	0	0
11003	zoom	0	1	11	0	0	0
11004	zorro	0	1	2	16	0	10