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Get month wise YTD


By : user6095904
Date : September 16 2020, 06:00 PM
wish of those help I have the data in the table like below. , You can use aggregation and window functions:
code :
select
    company,
    year(period) yr,
    month(period) mn,
    sum(sales) mtd,
    sum(sum(sales)) over(partition by company, year(period) order by month(period)) ytd
from tablea
group by 
    company,
    year(period),
    month(period)
order by 
    company,
    year(period),
    month(period)
company |   yr | mn | mtd | ytd
:------ | ---: | -: | --: | --:
a       | 2018 |  1 |  21 |  21
a       | 2018 |  2 |  22 |  43
a       | 2018 |  3 |  23 |  66
b       | 2018 |  1 |  24 |  24
b       | 2018 |  2 |  25 |  49
b       | 2018 |  3 |  26 |  75


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Classic ASP - display records from databse in the table Week-wise or month-wise


By : Sandeep Singh
Date : March 29 2020, 07:55 AM
like below fixes the issue I'm using asp code i.e classic ASP and SQL server 2000 in this process to display records from database into a table. I have two links called week-wise and month-wise . when the user clicks on this link he will see the data week-wise or month-wise assuming the database have a date field which stores all the dates, when the record is inserted.
code :
select
emp_number,
datepart(year, order_date),
datepart(month, order_date),
datepart(wk, order_date),
sum(grand_total)
from order_details
group by
emp_number,
datepart(year, order_date),
datepart(month, order_date),
datepart(wk, order_date)
order by 1, 2, 3, 4

Oracle query to get month wise data and give 0 for month not available


By : Ema Ghanam
Date : March 29 2020, 07:55 AM
will help you You should Join this original table with table with all months in given period. If it is inside one year then we need 1,2,3,...12 sequence.
code :
select 
 listagg(count(Name),',') within 
    group (order by m.rn) 
from 
     (SELECT * FROM  ps_bqueues_host 
      where time_stamp 
        BETWEEN TO_DATE('01-Mar-14', 'DD-Mon-YY') 
        and     TO_DATE('01-Jun-14', 'DD-Mon-YY') 
     )   
RIGHT JOIN 
     (SELECT LEVEL rn FROM dual CONNECT BY LEVEL <= 12) m
     ON m.rn=EXTRACT(month FROM time_stamp)

WHERE m.rn BETWEEN EXTRACT(month FROM TO_DATE('01-Mar-14', 'DD-Mon-YY'))
           AND  EXTRACT(month FROM TO_DATE('01-Jun-14', 'DD-Mon-YY'))
GROUP BY m.rn

Javascript Graph plugin to show values , Date Wise , Week wise and Month wise


By : Jimmy crackbone
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , According to my Knowledge and experience you should use the chartjs library. Because its fulfill your requirements easily a its documentation was really very easy and understandable properly. Its also very Simple to use and provide multiple types of graphs and visualization also.

i want to write the sql for the month wise and year wise data according to the category displayed in the excel file


By : Nathan
Date : March 29 2020, 07:55 AM
should help you out Pick up your month and use explode for each month and use year and month from exploded array

how to apply a function over dataframe colum in month wise and show it in columns month wise?


By : POL INFRA
Date : March 29 2020, 07:55 AM
I hope this helps you . i have some input data like below in a data frame . , I would have done something like this:
code :
df.groupby(['priority','owner',pd.PeriodIndex(data=df.changed_time, freq='M')]]).mean().unstack()
df1 = df.groupby(['priority','owner'])['goal'].mean()
# You can also do: pd.DatetimeIndex(data=df.changed_time).month
df2 = df.groupby(['priority','owner',pd.PeriodIndex(data=df.changed_time, freq='M')])['delta_time'].mean().unstack()
pd.concat([df1, df2], axis=1)
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