I want to add add the Year to date component to this code. I have tried some other ways but I am not getting what I would like to see. Can someone please help me revised this to include the YTD in addition to the Month to date that is already there?
SELECT
COST__DESC,
ST.AD_SRV_MTN AS MONTH_OF_AD,
COUNT(DISTINCT CM.CM_NBR) AS CMS,
MEM_MO AS MBR_MTH,
CMS/MBR_MTH*1000 AS CMS_PER_1000
FROM XTR.FT_CM AS CM
JOIN XTR.FT_ST AS ST ON ST.CM_NBR = CM.CM_NBR
JOIN XTR.DIM_MED_CST AS MC ON ST.CST_CK = MCC.CST_CK
JOIN XTR.DIM_AF AS AFF ON ST.PRO_CK = AFF.AFF_CK
JOIN XTR.DIM_ADJDCTN_STAT AS A_S ON ST.ADJDCTN_STAT_CK = A_S.ADJDCTN_STAT_CK
JOIN XTR.DIM_ADJ_OT AS OT ON ST.ADJ_CK = OT.ADJ_CK
LEFT JOIN
(SELECT
CALENDAR_YEAR_MONTH as YEAR_MO,
SUM(MBR.COUNT_NBR) as MEM_MO
FROM XTR.FT_MBR_MONTHS MBR
INNER JOIN DIM_MBR_C ON MBR.DB_MBR_CK = DIM_MBR_C.DB_MBR_CK
AND MBR.DATE_CK BETWEEN DIM_MBR_C.DB_eff_date_ck
AND DIM_MBR_C.DB_END_DATE_CK
INNER JOIN DIM_DATE DT ON ELI_DATE_CK = DT.DATE_CK
WHERE MBR.F_C_CK = 500058321 AND YEAR_MO >= 201701
GROUP BY 1) MM ON ST.AD_SRV_MTN = MM.YEAR_MO
WHERE ST.F_C_CK = 500058321 AND ST.ST_START_DATE_CK >= 20200101
AND ST.AD_SRV_MTN > 201912 AND MC.MED_DESC IN ('Er', 'IP')
AND ST.AD_SRV_MTN < ((EXTRACT (YEAR FROM CURRENT_DATE) *100) +
EXTRACT (MONTH FROM CURRENT_DATE))
GROUP BY 1,2,4
ORDER BY 1,2
Honestly I don't really get your SQL and what is counted, but: Your can play with dates quite easy in Teradata, as Dates are stored (and can be used) internally as INTEGER. Just keep in mind year 1900 as year 0 and format YYYYMMDD.
So e.g. 16-Apr-2020 is in Format YYYYMMDD 20200416 and if you take 1900 as 0 you'll end up with 1200416 which is the internal format. Just try SELECT CURRENT_DATE (INT); - So if you want compare YearNumers you just have to divide by 10000.
With this your can implement YTD as SUM (CASE WHEN CURRENT_DATE/10000 = <YourDateField>/10000 THEN <YourKPI> else 0 END) as YourKPI_YTD. Counting can be done by SUM...THEN 1 ELSE 0 END....
Related
Q) Write a query to return Territory and corresponding Sales Growth (compare growth between periods Q4-2019 vs Q3-2019).
Tables given-
Cust_Sales: -Cust_id,product_sku,order_date,order_value,order_id,month
Cust_Territory: cust_id,territory_id,customer_city,customer_pincode
Use tables FCT_CUSTOMER_SALES (which has sales for each Customer) and MAP_CUSTOMER_TERRITORY (which provides Territory-to-Customer mapping) for this question.
Output format-
TERRITORY_ID | SALES_GROWTH
My solution-
Select ((q2.claims - q1.claims)/q1.claims * 100) AS SALES_GROWTH , c.territory_id
From
(select sum(s.order_value) from FCT_CUSTOMER_SALES s inner join MAP_CUSTOMER_TERRITORY c on s.customer_id=c.customer_id where s.order_datetime between 1/07/2019 and 30/09/2019 group by c.territory_id) as q1.claims,
(select sum(s.order_value) from FCT_CUSTOMER_SALES s inner join MAP_CUSTOMER_TERRITORY c on s.customer_id=c.customer_id where s.order_datetime between 1/10/2019 and 31/12/2019 group by c.territory_id) as q2.claims
Group by c.territory_id
My solution is showing up as incorrect I would request anyone who can help me out with the solution and let me know where my mistake is
One option uses conditional aggregation. The idea is to filter the table on the two quarters at once, then use case expressions within the sum() aggregate function to compute the sales of each of them:
select
c.territory_id,
( sum(case when s.order_date >= date '2020-01-01' then s.order_value end)
- sum(case when s.order_date < date '2020-01-01' then s.order_value end)
) / (sum(case when s.order_date < date '2020-01-01' then s.order_value end)) * 100.0 as sales_growth
from fct_customer_sales s
inner join map_customer_territory c on s.customer_id = c.customer_id
where s.order_datetime >= date '2020-01-07' and s.order_datetime < '2020-01-01'
group by c.territory_id
You did not tell which database you are using, while date features are highly vendor-dependent. This uses the standard DATE syntax to declare the literal dates - you might need to adapat that if your database does not support it.
I currently have a query running to average survey scores for agents. We use the date range of the LastDayOfTheQuarter and 180 days back to calculate these scores. I ran into an issue for this current quarter.
One of my agents hasn't received any surveys in 2020 which is causing the query to not pull the current lastdayofquarter and 180 days back of results.
The code I am using:
SELECT
Agent,
U.Position,
U.BranchDescription,
(ADDDATE(LastDayOfQuarter, -180)) AS MinDate,
(LastDayOfQuarter) AS MaxDate,
COUNT(DISTINCT Response ID) as SurveyCount,
AVG(CASE WHEN Question ID = Q1_2 THEN Answer Value END) AS EngagedScore,
AVG(CASE WHEN Question ID = Q1_3 THEN Answer Value END) AS KnowledgableScore,
AVG(CASE WHEN Question ID = Q1_6 THEN Answer Value END) AS ValuedScore
FROM qualtrics_responses
LEFT JOIN date D
ON (D.`Date`) = (DATE(`End Date`))
LEFT JOIN `users` U
ON U.`UserID` = `Agent ID`
WHERE `Agent` IS NOT NULL
AND DATE(`End Date`) <= (`LastDayOfQuarter`)
AND DATE(`End Date`) >= (ADDDATE(`LastDayOfQuarter`, -180))
GROUP BY `Agent`, (ADDDATE(`LastDayOfQuarter`, -180))
i know the issue is due to the way I am joining the dates and since he doesn't have a result in this current year, the end date to date join isn't grabbing the desired date range. I can't seem to come up with any alternatives. Any help is appreciated.
I make the assumption that table date in your query is a calendar table, that stores the starts and ends of the quarters (most likely with one row per date in the quarter).
If so, you can solve this problem by rearranging the joins: first cross join the users and the calendar table to generate all possible combinations, then bring in the surveys table with a left join:
SELECT
U.UserID,
U.Position,
U.BranchDescription,
D.LastDayOfQuarter - interval 180 day AS MinDate,
D.LastDayOfQuarter AS MaxDate,
COUNT(DISTINCT Q.ResponseID) as SurveyCount,
AVG(CASE WHEN Q.QuestionID = 'Q1_2' THEN Q.Answer Value END) AS EngagedScore,
AVG(CASE WHEN Q.QuestionID = 'Q1_3' THEN Q.Answer Value END) AS KnowledgableScore,
AVG(CASE WHEN Q.QuestionID = 'Q1_6' THEN Q.Answer Value END) AS ValuedScore
FROM date D
CROSS JOIN users U
LEFT JOIN qualtrics_responses Q
ON Q.EndDate >= D.Date
AND Q.EndDate < D.Date + interval 1 day
AND U.UserID = Q.AgentID
AND Q.Agent IS NOT NULL
GROUP BY
U.UserID,
U.Position,
U.BranchDescription,
D.LastDayOfQuarter
Notes:
I adapted the date arithmetics - this assumes that you are using MySQL, as the syntax of the query suggests
You should really qualify all the columns in the query, by prefixing them with the alias of the table they belong to; this makes the query so much easier to understand. I gave a tried at it, you might need to review that.
All non-aggregated columns should appear in the group by clause (also see the comment from Eric); this is a a requirement in most databaseses, and good practice anywhere
I'm not sure if I will explain this correctly so apologies in advance.
I'm looking to put together a report that shows the number of times a site (central_site.site_code & central_site.site_name) appears in a report and then total this up for each month with a grand total at the end. The date to summarize into month values is job.actual_start_date
What I'm looking for is something like:
Site Code Site Name April May June July August Total
1234 HIGH STREET 2 4 3 3 2 14
3093 4TH AVENUE 10 5 8 8 7 38
The code I have got so far to produce all the information that I would like summarizing in the format above is:
select
central_site.site_code,
central_site.site_name,
job.actual_start_date
from
central_site
inner join job on job.site_code = central_site.site_code
inner join job_type on job.job_type_key = job_type.job_type_key
inner join job_status_log on job.job_number = job_status_log.job_number
where
job_type.job_type_code = 'G012' and
job_status_log.status_code = '5200'
I just don't know the syntax / formulas to be able to total each site up per month and then provide a total for the year.
I think you want conditional aggregation:
select cs.site_code, cs.site_name,
sum(case when extract(month from ?.datecol) = 1 then 1 else 0 end) as jan,
sum(case when extract(month from ?.datecol) = 2 then 1 else 0 end) as feb,
. . .,
count(*) as year_total
from central_site cs join
job j
on j.site_code = cs.site_code join
job_type jt
on j.job_type_key = jt.job_type_key join
job_status_log jsl
on j.job_number = js.job_number
where jt.job_type_code = 'G012' and
jsl.status_code = '5200' and
?.datecol >= date '2018-01-01' and
?.datecol < date '2019-01-01'
group by cs.site_code, cs.site_name;
This is assuming that "number of times" is simply a count. Your question doesn't specify *what column is used to specify the date. So, that element needs to be filled in.
I am trying to find 12 weeks average through same weekday.
Example:
weekday sale
So basically I need the average based on the number of stores having net > 0. for yellow color, it should be total/11 as there is no sale for 02-07-16
I have written this query but it doesn't work properly. Could you guys please help me?
SELECT Store_DateJoined.StoreKey, Store_DateJoined.RestaurantName, Store_DateJoined.Ownership, Store_DateJoined.DateKey,
Sales_Summary.Net, Sales_Summary.[LastWeek_Net],
(SELECT AVG(Net) AS AVGNET
FROM (SELECT TOP (12) Net
FROM DailySummary AS FB INNER JOIN
DimDate ON FB.DateKey = DimDate.DateKey
WHERE datename(WEEKDAY, TransactionDate) IN (select datename(WEEKDAY, TransactionDate) from [NandosDW].[dbo].[DailySummary]) and (FB.StoreKey = Store_DateJoined.StoreKey) AND (FB.DateKey <= Store_DateJoined.DateKey) AND
(DimDate.DayNameOfWeek = Store_DateJoined.DayNameOfWeek) AND (FB.DateKey >= (FB.DateKey - 84))
ORDER BY FB.DateKey, StoreKey DESC) AS WAVGNET) AS [Week12_Net],
Store_DateJoined.FullDate, Store_DateJoined.DayNameOfWeek, Store_DateJoined.FinancialWC, Store_DateJoined.strFinancialWeek
FROM Sales_Summary RIGHT OUTER JOIN Store_DateJoined LEFT OUTER JOIN
DimLFL ON Store_DateJoined.StoreKey = DimLFL.StoreKey AND Store_DateJoined.DateKey = DimLFL.DateKey ON
Sales_Summary.RedCatID = Sore_DateJoined.StoreKey AND
Sales_Summary.DateKey = Store_DateJoined.DateKey
I havent included the joins in this query, but they are present
The SQL below give me the columns for Account, Name and the Total Sale for the year of 2015.But how, if possible, can I add another column for the previous year of 2014 ?
select a.AcctNo, b.Name, Sum(a.TotSold) as [ Total Sold ]
from Orders as A
Join Accounts as b on a.AcctNo = b.AcctNo
where (a.PurchaseDate between '1/1/2015' and '12/31/2015' )
Group by a.AcctNo, b.Name
You can use conditional aggregation:
select o.AcctNo, a.Name,
Sum(case when year(PurchaseDate) = 2015 then TotSold else 0 end) as tot_2015,
Sum(case when year(PurchaseDate) = 2014 then TotSold else 0 end) as tot_2014
from Orders o Join
Accounts a
on a.AcctNo = o.AcctNo
where PurchaseDate >= '2014-01-01'
PurchaseDate < '2016-01-01'
Group by o.AcctNo, a.Name ;
Notes:
Use ISO standard formats for date constants.
When using dates, try not to use between. It doesn't work as expected when there is a time component. The above inequalities work regardless of a time component.
Use table aliases that are abbreviations of the table name. That makes the query easier to follow.