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# -*- coding: utf-8 -*-
""".1448
Automatically generated by Colab.
Original file is located at
https://colab.research.google.com/drive/1GIIClHvqMtYFqLpA0aV6XldITsz-gvPx
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plotly.express as px
import seaborn as sns
from wordcloud import WordCloud, STOPWORDS
from collections import Counter
import warnings
warnings.filterwarnings('ignore')
df = pd.read_csv('/content/1. users_data.csv')
df.head()
df.tail()
df.sample()
df.describe().T.plot(kind='bar')
df.describe(include = 'all').T
df.columns.to_list()
df.duplicated().sum()
df.isnull().sum()
for col in df:
sns.histplot(x=col, data=df,kde=True)
plt.show() |