text_plain_output_1.png
from dask.diagnostics import ProgressBar

import dask.dataframe as dd

import datetime

dask_data = dd.read_csv('./train.csv')

dask_data.columns

dask_data.compute().shape
len(dask_data.columns)
dask_data.isnull().sum().compute()
dask_data.fare_amount.mean().compute()

missing_values = dask_data.isnull().sum().compute()
missing_values