import pandas as pd


data = pd.read_csv("/datasets/visits.csv", sep="\t")
data['local_time'] = (
    pd.to_datetime(data['date_time'], format='%Y-%m-%dT%H:%M:%S')
    + pd.Timedelta(hours=3)
)
data['too_slow'] = data['time_spent'] > 1000
data.pivot_table(index='id', values='too_slow').hist(bins=30)