0 sdating in your 50

USE [cheminova] GO /****** Object: Stored Procedure [dbo].[SP_Firstdistil] Script Date: 10/30/2014 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO -- ============================================= -- Author: -- ============================================= ALTER PROCEDURE [dbo].[SP_Firstdistil] -- Add the parameters for the stored procedure here -- @Start Date varchar(50)=Null, [email protected] Date varchar(50)=Null @SDate Date Time AS BEGIN -- SET NOCOUNT ON added to prevent extra result sets from -- interfering with SELECT statements. LIC1302'''' '')' INSERT INTO #tempval1 EXEC(@SQL) Set @Tagname='ADMIN-PC.

SET NOCOUNT ON; -- Insert statements for procedure here declare @Start Date varchar(50) declare @End Date varchar(50) set @End Date=CONVERT(varchar, DATEPART(month,@SDate)) '/' CONVERT(varchar, DATEPART(DAY,@SDate)) '/' CONVERT(varchar, DATEPART(YEAR,@SDate)) ' ' set @Start Date=CONVERT(varchar, DATEPART(month, DATEADD(day,-1,@SDate))) '/' CONVERT(varchar, DATEPART(DAY, DATEADD(day,-1,@SDate))) '/' CONVERT(varchar, DATEPART(YEAR, DATEADD(day,-1,@SDate))) ' ' Begin --table to store data of each tag for a day create table #tempval ( [ID] [int] IDENTITY(1,1) NOT NULL, tagname varchar(100), [timestamp] Varchar(50), tagval varchar(50), quality varchar(20) ) create table #tempval1 ( [ID] [int] IDENTITY(1,1) NOT NULL, tagname varchar(100), [timestamp] Varchar(50), tagval varchar(50), quality varchar(20) ) create table #tempval2 ( [ID] [int] IDENTITY(1,1) NOT NULL, tagname varchar(100), [timestamp] Varchar(50), tagval varchar(50), quality varchar(20) ) create table #tempval3 ( [ID] [int] IDENTITY(1,1) NOT NULL, tagname varchar(100), [timestamp] Varchar(50), tagval varchar(50), quality varchar(20) ) --table to store average of each tag for a day create table #tagavg ( [ID] [int] IDENTITY(1,1) NOT NULL, avgtag float ) create table #temp1 ( [ID] [int] IDENTITY(1,1) NOT NULL, --[Timestamp] varchar(50), [Value][float] NULL ) create table #temp2 ( [ID] [int] IDENTITY(1,1) NOT NULL, --[Timestamp] varchar(50), [Value][float] NULL ) create table #temp3 ( [ID] [int] IDENTITY(1,1) NOT NULL, --[Timestamp] varchar(50), [Value][float] NULL ) create table #temp4 ( [ID] [int] IDENTITY(1,1) NOT NULL, --[Timestamp] varchar(50), [Value][float] NULL ) create table #temp5 ( [ID] [int] IDENTITY(1,1) NOT NULL, --[Timestamp] Datetime, [Value][float] NULL ) create table #tempdigival ( [ID] [int] IDENTITY(1,1) NOT NULL, [timestamp] varchar(30), tagval varchar(30) ) create table #tempsum ( tagval varchar(30), calevent float ) create table #tagtemp ( [ID] [int] IDENTITY(1,1) NOT NULL, [timestamp] datetime, tagname varchar(200), descrip varchar(200), unit varchar(10), tagval varchar(38), calevent float ) create table #totalizervalue ( [ID] [int] IDENTITY(1,1) NOT NULL, tagname varchar(200), waqt varchar(30), tagval varchar(30) ) create table #Final Result ( [ID] [int] IDENTITY(1,1) NOT NULL, tag1 float, tag2 float, tag3 float, tag4 float, tag5 float, tag6 float ) --to store reading --select @Start Date as startdate,@End Date as enddate DECLARE @SQL as varchar(1000) Declare @Tagname varchar(300) Declare @tag Val float Declare @calval float declare @avgtag float declare @X1 float declare @Y1 float declare @Z1 float declare @X2 float declare @Y2 float declare @Z2 float declare @X3 float declare @Y3 float declare @Z3 float declare @X4 float declare @Y4 float declare @Z4 float declare @X5 float declare @Y5 float declare @Z5 float declare @X6 float declare @Y6 float declare @Z6 float declare @X7 float declare @Y7 float declare @Z7 float declare @X8 float declare @Y8 float declare @Z8 float declare @query varchar(500) declare @starttime varchar(30) declare @endtime varchar(30) declare @coltagname varchar(300) declare @coltimestamp datetime declare @colavg varchar(38) declare @prevtime varchar(30) declare @currtime varchar(30) declare @breakflag int declare @firsttimeflag int set @firsttimeflag=0 declare @final float declare @initial float declare @event float Declare @digitalsql varchar(1000) set @final=0 set @initial=0 set @SQL ='SELECT tagname, timestamp , value, Quality FROM OPENQUERY(chemhist,'' set Start Time = ''''' @Start Date ''''', End Time = ''''' @End Date ''''', rowcount=0, samplingmode=Raw By Time SELECT tagname, timestamp ,value,quality FROM ih Raw Data WHERE tagname =''''ADMIN-PC.

In this case, you can quickly compute the hourly wage by dividing the annual salary by 2000.

Your yearly salary of ,000 is then equivalent to an average hourly wage of . Start with the hourly wage and answer the question: 25 dollars an hour is how much a year?

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