| import pandas as pd | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| from scipy import stats | |
| data = pd.read_csv("/content/tiktok_dataset.csv") | |
| data.head() | |
| data.shape | |
| data.describe() | |
| data.isna().sum() | |
| data = data.dropna(axis=0) | |
| data.shape | |
| data.groupby("verified_status")["video_view_count"].mean() | |
| not_verified = data[data["verified_status"] == "not verified"]["video_view_count"] | |
| verified = data[data["verified_status"] == "verified"]["video_view_count"] | |
| stats.ttest_ind(a=not_verified, b=verified, equal_var=False) |