[GCP] QWIKLABS GSP787 - Insights from Data with BigQuery: Challenge Lab

Query 1

SELECT sum(cumulative_confirmed) as total_cases_worldwide 
FROM `bigquery-public-data.covid19_open_data.covid19_open_data` 
WHERE date='2020-04-15'

Query 2

with deaths_by_states as (
	SELECT subregion1_name as state, 
		sum(cumulative_deceased) as death_count
	FROM `bigquery-public-data.covid19_open_data.covid19_open_data` 
	WHERE country_name="United States of America" 
    	and date='2020-04-10' 
        and subregion1_name is NOT NULL
	GROUP BY subregion1_name
)

SELECT count(*) as count_of_states
FROM deaths_by_states
WHERE death_count > 100

Query 3

SELECT * FROM (
	SELECT subregion1_name as state, 
		sum(cumulative_confirmed) as total_confirmed_cases
	FROM `bigquery-public-data.covid19_open_data.covid19_open_data`
	WHERE country_code="US" AND date='2020-04-10' AND subregion1_name is NOT NULL
	GROUP BY subregion1_name
	ORDER BY total_confirmed_cases DESC 
) 
WHERE total_confirmed_cases > 1000

Query 4

SELECT sum(cumulative_confirmed) as total_confirmed_cases, 
	sum(cumulative_deceased) as total_deaths, 
	(sum(cumulative_deceased)/sum(cumulative_confirmed))*100 as case_fatality_ratio 
FROM `bigquery-public-data.covid19_open_data.covid19_open_data` 
WHERE country_name="Italy" AND date BETWEEN '2020-04-01' AND '2020-04-30'

Query 5

SELECT date
FROM `bigquery-public-data.covid19_open_data.covid19_open_data` 
WHERE country_name="Italy" and cumulative_deceased>10000
ORDER BY date asc
LIMIT 1

Query 6

WITH india_cases_by_date AS (
  SELECT
    date,
    SUM( cumulative_confirmed ) AS cases
  FROM
    `bigquery-public-data.covid19_open_data.covid19_open_data`
  WHERE
    country_name ="India"
    AND date between '2020-02-21' and '2020-03-15'
  GROUP BY
    date
  ORDER BY
    date ASC 
 ), india_previous_day_comparison AS 
(SELECT
  date,
  cases,
  LAG(cases) OVER(ORDER BY date) AS previous_day,
  cases - LAG(cases) OVER(ORDER BY date) AS net_new_cases
FROM india_cases_by_date
)

SELECT count(*)
FROM india_previous_day_comparison
WHERE net_new_cases=0

 

Query 7

WITH us_cases_by_date AS (
  SELECT
    date,
    SUM(cumulative_confirmed) AS cases
  FROM
    `bigquery-public-data.covid19_open_data.covid19_open_data`
  WHERE
    country_name="United States of America"
    AND date between '2020-03-22' and '2020-04-20'
  GROUP BY
    date
  ORDER BY
    date ASC 
 ), us_previous_day_comparison AS (
 SELECT
  date,
  cases,
  LAG(cases) OVER(ORDER BY date) AS previous_day,
  cases - LAG(cases) OVER(ORDER BY date) AS net_new_cases,
  (cases - LAG(cases) OVER(ORDER BY date))*100/LAG(cases) OVER(ORDER BY date) AS percentage_increase
 FROM us_cases_by_date
 )

SELECT 
	Date, 
    cases as Confirmed_Cases_On_Day, 
	previous_day as Confirmed_Cases_Previous_Day, 
    percentage_increase as Percentage_Increase_In_Cases
FROM us_previous_day_comparison
WHERE percentage_increase > 10

 

 

Query 8

WITH cases_by_country AS (
  SELECT
    country_name AS country,
    sum(cumulative_confirmed) AS cases,
    sum(cumulative_recovered) AS recovered_cases
  FROM
    bigquery-public-data.covid19_open_data.covid19_open_data
  WHERE
    date = '2020-05-10'
  GROUP BY
    country_name
 )
 
, recovered_rate AS 
(SELECT
  country, cases, recovered_cases,
  (recovered_cases * 100)/cases AS recovery_rate
FROM cases_by_country
)

SELECT country, cases AS confirmed_cases, recovered_cases, recovery_rate
FROM recovered_rate
WHERE cases > 50000
ORDER BY recovery_rate desc
LIMIT 10

Query 9

WITH
  france_cases AS (
  SELECT
    date,
    SUM(cumulative_confirmed) AS total_cases
  FROM
    `bigquery-public-data.covid19_open_data.covid19_open_data`
  WHERE
    country_name="France"
    AND date IN ('2020-01-24',
      '2020-05-10')
  GROUP BY
    date
  ORDER BY
    date)
, summary as (
SELECT
  total_cases AS first_day_cases,
  LEAD(total_cases) OVER(ORDER BY date) AS last_day_cases,
  DATE_DIFF(LEAD(date) OVER(ORDER BY date),date, day) AS days_diff
FROM
  france_cases
LIMIT 1
)
select first_day_cases, last_day_cases, days_diff, POW((last_day_cases/first_day_cases),(1/days_diff))-1 as cdgr
from summary

Query 10

SELECT
  date, SUM(cumulative_confirmed) AS country_cases,
  SUM(cumulative_deceased) AS country_deaths
FROM
  `bigquery-public-data.covid19_open_data.covid19_open_data`
WHERE
  date BETWEEN '2020-03-15'
  AND '2020-04-30'
  AND country_name ="United States of America"
GROUP BY date