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Copy pathSpace_Missions_Cleaned.sql
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294 lines (220 loc) · 8.97 KB
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USE Data_Cleaning_Proj
GO
----Judging by the data we have, some columns have to be cleaned
------Location, Date, and Price
----Date column
ALTER TABLE space_missions
ADD Launch_Year VARCHAR (10) ,
Launch_Month VARCHAR (20)
SELECT Date, YEAR(Date) as launch_year
FROM space_missions
UPDATE space_missions
SET Launch_Year = YEAR(Date)
------Launch Month
SELECT Date, MONTH(Date) as Launch_Month
FROM space_missions
UPDATE space_missions
SET Launch_Month = MONTH(Date)
SELECT Launch_month, CASE
WHEN Launch_Month = 1 THEN 'Jan'
WHEN Launch_Month = 2 THEN 'Feb'
WHEN Launch_Month = 3 THEN 'Mar'
WHEN Launch_Month = 4 THEN 'Apr'
WHEN Launch_Month = 5 THEN 'May'
WHEN Launch_Month = 6 THEN 'Jun'
WHEN Launch_Month = 7 THEN 'Jul'
WHEN Launch_Month = 8 THEN 'Aug'
WHEN Launch_Month = 9 THEN 'Sep'
WHEN Launch_Month = 10 THEN 'Oct'
WHEN Launch_Month = 11 THEN 'Nov'
WHEN Launch_Month = 12 THEN 'Dec'
end as MMonth
FROM space_missions
UPDATE space_missions
SET Launch_Month = CASE
WHEN Launch_Month = 1 THEN 'Jan'
WHEN Launch_Month = 2 THEN 'Feb'
WHEN Launch_Month = 3 THEN 'Mar'
WHEN Launch_Month = 4 THEN 'Apr'
WHEN Launch_Month = 5 THEN 'May'
WHEN Launch_Month = 6 THEN 'Jun'
WHEN Launch_Month = 7 THEN 'Jul'
WHEN Launch_Month = 8 THEN 'Aug'
WHEN Launch_Month = 9 THEN 'Sep'
WHEN Launch_Month = 10 THEN 'Oct'
WHEN Launch_Month = 11 THEN 'Nov'
WHEN Launch_Month = 12 THEN 'Dec'
end
SELECT Location, Date, Launch_Year, Launch_month
FROM space_missions
-----Location, here we break the location column into three parts, Launch_site, State and country
ALTER TABLE space_missions
ADD Launch_Add VARCHAR (100)
Launch_Site VARCHAR (100),
Launch_State VARCHAR (20),
Country VARCHAR (20)
SELECT Location, PARSENAME(REPLACE(Location, ',', '.'),4) AS Launch_Add,
PARSENAME(REPLACE(Location, ',', '.'),3) AS Launch_Site,
PARSENAME(REPLACE(Location, ',', '.'),2)AS Launch_State,
PARSENAME(REPLACE(Location, ',', '.'),1) AS Country
FROM space_missions
UPDATE space_missions
SET Launch_Add = PARSENAME(REPLACE(Location, ',', '.'),4),
Launch_Site = PARSENAME(REPLACE(Location, ',', '.'),3),
Launch_State = PARSENAME(REPLACE(Location, ',', '.'),2),
Country = PARSENAME(REPLACE(Location, ',', '.'),1)
ALTER TABLE space_missions
ADD Launch_Address VARCHAR (255)
UPDATE space_missions
SET Launch_Address = CONCAT(Launch_add, Launch_Site)
----at this point the we observe there are null values in some columns due to the numbe rof split they require
SELECT LEFT(location, 40) as Launch_Add,
SUBSTRING(location, 43, 6) as Launch_State,
RIGHT(location, 3) as Country
FROM space_missions
WHERE Launch_State IS NULL
UPDATE space_missions
SET Launch_Address = LEFT(location, 40),
Launch_State = SUBSTRING(location, 43, 6),
Country = RIGHT(location, 3)
FROM space_missions
WHERE Launch_State IS NULL and Country IS NULL
SELECT * FROM space_missions
WHERE Price <> ' '
-----checking through for duplicate records
WITH space_CTE
AS (
SELECT Company, Location, Date, Rocket, Mission, RocketStatus, MissionStatus, Country, Launch_Address,
ROW_NUMBER () OVER (
PARTITION BY Company, Location, Date, Rocket, Mission, RocketStatus, MissionStatus, Country, Launch_Address
ORDER BY Country) as Row_Num
FROM space_missions
)
SELECT * FROM space_CTE
WHERE Row_num >1
ALTER TABLE space_missions
DROP COLUMN Row_Num
UPDATE space_missions
SET Row_num = ROW_NUMBER () OVER (
PARTITION BY Company, Location, Date, Rocket, Mission, RocketStatus, MissionStatus, Country, Launch_Address
ORDER BY Country)
----Here we can observe we have supplicate records
----deleting duplicate records
WITH space_CTE
AS (
SELECT Company, Location, Date, Rocket, Mission, RocketStatus, MissionStatus, Country, Launch_Address,
ROW_NUMBER () OVER (
PARTITION BY Company, Location, Date, Rocket, Mission, RocketStatus, MissionStatus, Country, Launch_Address
ORDER BY Country) as Row_Num
FROM space_missions
)
DELETE FROM space_missions
where row_num >1
----Removing non-essential columns
ALTER TABLE space_missions
DROP COLUMN Launch_Site, Launch_Add
----cleaning the price column
select price
from space_missions
where price <> ' '
--where price like '%,%'
ORDER BY price DESC
-----using this syntax, it was observed that the figures were rounded up thus skewing the result of the analysis
SELECT Price, CASE
WHEN Price LIKE '%,%' AND Price LIKE '%.%' THEN TRY_CONVERT(DECIMAL (10,2), SUBSTRING(Price, 1, CHARINDEX(',', price)-1))*1000000 +
TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price,3, CHARINDEX('.', price)-1)) *100000
WHEN Price LIKE '%.%' AND Price <> '%,%' THEN
TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price, 1, CHARINDEX('.', price)-1))*1000000 +
TRY_CONVERT(DECIMAL (10,0), RIGHT(Price, LEN(Price)-CHARINDEX('.', price))) *100000
ELSE
TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price, 1, LEN(Price))) *1000000
END as Amount
FROM space_missions
--where price not like '%,%' and price like '%.%'
where price <> ' '
----SYNTAX TO CORRECT THE PRICE COLUMN
SELECT Price, CASE
WHEN Price LIKE '%,%' AND Price LIKE '%.%' THEN TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price, 1, CHARINDEX(',', price)-1))*1000000
WHEN Price LIKE '%.%' AND Price <> '%,%' THEN TRY_CONVERT(DECIMAL(10,0), SUBSTRING(Price, 1, CHARINDEX('.', price)-1))*1000000
ELSE
TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price, 1, LEN(Price))) *1000000
END AS Amount_Spent,
CASE
WHEN Price LIKE '%,%' AND Price LIKE '%.%' THEN TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price,3, CHARINDEX('.', price)-1)) *100000
WHEN Price LIKE '%.%' AND Price <> '%,%' THEN TRY_CONVERT(DECIMAL (10,0), RIGHT(Price, LEN(Price)-CHARINDEX('.', price))) *100000
END AS Ammount
--concat(Amount_Spent, Ammount)
FROM space_missions
WHERE price <> ' '
---Alternative syntax using left to run the extraction
SELECT Price, CASE
WHEN Price LIKE '%,%' AND Price LIKE '%.%' THEN TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price, 1, CHARINDEX(',', price)-1))*1000000
WHEN Price LIKE '%.%' AND Price <> '%,%' THEN TRY_CONVERT(DECIMAL(10,0), SUBSTRING(Price, 1, CHARINDEX('.', price)-1))*1000000
ELSE
TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price, 1, LEN(Price))) *1000000
END AS Amount_Spent,
CASE
WHEN Price LIKE '%,%' AND Price LIKE '%.%' THEN TRY_CONVERT(DECIMAL (10,0), RIGHT(Price,LEN(Price)-CHARINDEX(',', price))) *100000
WHEN Price LIKE '%.%' AND Price <> '%,%' THEN TRY_CONVERT(DECIMAL (10,0), RIGHT(Price, LEN(Price)-CHARINDEX('.', price))) *100000
END AS Ammount
--concat(Amount_Spent, Ammount)
FROM space_missions
WHERE price <> ' '
ALTER TABLE space_missions
ADD Amount_spent DECIMAL (10)
UPDATE space_missions
SET Amount_spent = CASE
WHEN Price LIKE '%,%' AND Price LIKE '%.%' THEN TRY_CONVERT(DECIMAL (10,2), SUBSTRING(Price, 1, CHARINDEX(',', price)-1))*1000000 +
TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price,3, CHARINDEX('.', price)-1)) *100000
WHEN Price LIKE '%.%' AND Price <> '%,%' THEN
TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price, 1, CHARINDEX('.', price)-1))*1000000 +
TRY_CONVERT(DECIMAL (10,0), RIGHT(Price, LEN(Price)-CHARINDEX('.', price))) *100000
ELSE
TRY_CONVERT(DECIMAL (10,0), SUBSTRING(Price, 1, LEN(Price))) *1000000
END
where price <> ' '
SELECT* FROM space_missions
where price <> ' '
----setting default value 0 for missions whose cost are unknown
UPDATE space_missions
SET [Amount_Spent($)] = CASE
WHEN [Amount_Spent($)] IS NULL THEN 0
ELSE [Amount_Spent($)]
END
----Renaming and removing unnecessary columns
sp_rename 'dbo.space_missions.Location', 'Launch_Site', 'COLUMN'
UPDATE space_missions
SET launch_site = Launch_Address
ALTER TABLE space_missions
DROP COLUMN Launch_address
ALTER TABLE space_missions
ADD Launch_Hour VARCHAR (20)
UPDATE space_missions
SET Launch_Hour = LEFT(Time, 2)
ALTER TABLE space_missions
ADD Launch_Time VARCHAR (20)
UPDATE space_missions
SET Launch_Time = CASE
WHEN Launch_Hour BETWEEN 07 and 18 THEN 'Day'
ELSE 'Night'
END
WHERE launch_Hour <> ' '
SELECT Time, Launch_Hour, CASE
WHEN Launch_Hour BETWEEN 07 and 18 THEN 'Day'
ELSE 'Night'
END as Launch_Time
FROM space_missions
WHERE launch_Hour <> ' '
ALTER TABLE space_missions
DROP COLUMN Launch_Hour
select *
FROM space_missions
UPDATE space_missions
SET Price = Amount_Spent
ALTER TABLE space_missions
DROP COLUMN Amount_spent
sp_rename 'dbo.space_missions.Amount_Spent', 'Amount_Spent($)', 'COLUMN'
---Trimiming to remove spaces within the column
UPDATE space_missions
SET Country = LTRIM(Country)
SELECT * FROM space_missions