Data Visualization using Google Datalab, BigQuery, and Cloud Shell

Created a query to fetch data to visualize
query="""
SELECT
departure_delay,
COUNT(1) AS num_flights,
APPROX_QUANTILES(arrival_delay, 10) AS arrival_delay_deciles
FROM
`bigquery-samples.airline_ontime_data.flights`
GROUP BY
departure_delay
HAVING
num_flights > 100
ORDER BY
departure_delay ASC
"""

import google.datalab.bigquery as bq
df = bq.Query(query).execute().result().to_dataframe()
df.head()

import pandas as pd
df['arrival_delay_deciles'].head()

percentiles = df['arrival_delay_deciles'].apply(pd.Series)
percentiles.head()

percentiles = percentiles.rename(columns = lambda x : str(x*10) + "%")
df = pd.concat([df['departure_delay'], percentiles], axis=1)
df.head()

without_extremes = df.drop(['0%', '100%'], 1)
without_extremes.plot(x='departure_delay', xlim=(-30,50), ylim=(-50,50))

without_extremes.plot(x='departure_delay')

Comments

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