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How to write dynamic cumulative multiple in R


How to write dynamic cumulative multiple in R

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How to write dynamic cumulative multiple in R
Tag : r , By : evegter
Date : November 26 2020, 01:01 AM


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How do I write an SQL to get a cumulative value and a monthly total in one row?


Tag : sql , By : JackIT
Date : March 29 2020, 07:55 AM
This might help you Say, I have the following data: , Try this way:
select name, sum(sales) as Total_cumulative_sales ,
       sum( 
            case trunc(to_date(date_created), 'MM')
              when  trunc(sysdate, 'MM') then sales
              else 0
            end
        ) as  Total_sales_current_month

from tab
group by name

Is there a better way to write this this cumulative sum for a time series?


Tag : r , By : semicolonth
Date : March 29 2020, 07:55 AM
wish helps you Given the following data: , Here is an alternative using ave:
out <- sample
out[] <- ave(sample != 1, cumsum(c(TRUE, diff(coredata(sample)) < 0)), FUN = cumsum)

identical(out[-1], res)
## [1] TRUE

Dynamic cumulative summations in Pandas


Tag : python , By : Doc Immortal
Date : March 29 2020, 07:55 AM
I hope this helps you . You can use cumsum:
df['C'] = df.A.cumsum()
print (df)
   ix  A  B  C
0   0  1  1  1
1   1  1  2  2
2   2  1  3  3
3   3  1  4  4
4   4  2  6  6
5   5 -1  5  5
6   6 -3  2  2
df['C'] = df.type.map({'I':1, 'O':-1}).cumsum()
print (df)
   ix type  B  C
0   0    I  1  1
1   1    I  2  2
2   2    O  1  1
3   3    I  2  2
4   4    O  1  1
5   5    O  0  0
6   6    I  1  1
df['C'] = df.type.replace({'I':1, 'O':-1}).cumsum()
print (df)
   ix type  B  C
0   0    I  1  1
1   1    I  2  2
2   2    O  1  1
3   3    I  2  2
4   4    O  1  1
5   5    O  0  0
6   6    I  1  1

sql dynamic cumulative sum - SQL Server


Tag : sql , By : bikefixxer
Date : March 29 2020, 07:55 AM
Hope this helps I have a table like this , Try this:
SELECT ID , Salary,SUM(Salary) OVER(ORDER BY ID)Running Total
FROM Your_Table
DECLARE @TAB TABLE(ID INT, SALARY INT)

INSERT INTO @TAB VALUES(1 ,100)
INSERT INTO @TAB VALUES(2 , 40)
INSERT INTO @TAB VALUES(3 , 30)
INSERT INTO @TAB VALUES(4 , 40)
INSERT INTO @TAB VALUES(5 , 90)
INSERT INTO @TAB VALUES(6 ,160)
INSERT INTO @TAB VALUES(7 , 70)
INSERT INTO @TAB VALUES(8 , 40)
INSERT INTO @TAB VALUES(9 , 20)
INSERT INTO @TAB VALUES(10, 10)
INSERT INTO @TAB VALUES(11,200)
INSERT INTO @TAB VALUES(12, 50)


DECLARE @MIN INT, @MAX INT, @PreVal INT, @CurVal INT, @OldVal INT,@NextVal,  INT, @ExistVal INT
DECLARE @TABLE1 TABLE(ID INT, Sal INT, RunTotal INT)

INSERT INTO @TABLE1 (Id, Sal)
SELECT * FROM @TAB

SELECT @MIN=MIN(ID),@MAX=MAX(ID) FROM @TAB

WHILE(@MIN<=@MAX)
BEGIN
    SELECT @NextVal=SALARY FROM @TAB WHERE ID=@MIN
    SELECT @ExistVal=SALARY FROM @TAB WHERE ID=@MIN-1
    SELECT @OldVal=RunTotal FROM @TABLE1 WHERE ID=@MIN-1
    SELECT @PreVal=RunTotal FROM @TABLE1 WHERE ID=@MIN-2

    IF(@OldVal>@PreVal+(@PreVal/2))
    BEGIN
        SELECT @CurVal = @NextVal+@ExistVal
    END
    ELSE
    BEGIN
        SELECT @CurVal=ISNULL(@OldVal,0)+@NextVal-- FROM @TABLE1 WHERE ID=@MIN
    END

    UPDATE @TABLE1 SET RunTotal=@CurVal WHERE ID=@MIN
    SELECT @MIN=@MIN+1
END

SELECT * FROM @TABLE1
ID  Sal RunTotal
1   100 100
2   40  140
3   30  170
4   40  210
5   90  300
6   160 460
7   70  230
8   40  270
9   20  290
10  10  300
11  200 500
12  50  250

Cumulative sum with dynamic interval in PostgreSQL


Tag : sql , By : Nigel
Date : March 29 2020, 07:55 AM
around this issue I have a following table called data_users , An idea that uses case expessions:
SELECT x.date,
       count( case when u.created_at >= x.date and u.created_at < x.date + interval '1' day 
              then u.id end ) as int_1_day,
       count( case when u.created_at >= x.date and u.created_at < x.date + interval '7' day 
              then u.id end ) as int_1_week,
       count( case when u.created_at >= x.date and u.created_at < x.date + interval '1' month 
              then u.id end ) as int_1_month,
       count( case when u.created_at >= x.date and u.created_at < x.date + interval '1' year 
              then u.id end ) as int_1_year
FROM (
  SELECT GENERATE_SERIES(MIN(created_at)::DATE, date '2015-07-31', '1 DAY'::INTERVAL) AS date
  FROM data_users
) x
LEFT JOIN data_users u
ON u.created_at BETWEEN x.date and x.date + interval '1' year
GROUP BY x.date
ORDER BY x.date
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