Need this to average = 7.41
But this happens when I use AVG
I am trying to calculate the daily average of each employee based on the number of days worked.
I already used a pivot table to calculate the daily total hours of each employee per day but I cannot figure out how to get the pivot table to display the average work day. When I alter the field settings, it averages the source data which I do not need.
The employees worked a different # of workdays, so I need the average function to calculate based on the # of instances for each employee. When I highlight the first employees data, Excel returns an average of 7.41.
Further down the list though, there are employees with 0.00 hours for a date that is beiong calculated into the averages.
How do I get this pivot table to give me a true snapshot of the persons daily hours worked - without having to manually delete 0.00 hour instances in the source data?
Related
I have data that includes the below columns:
Date
Total Capital
Total BOED
On Production Date
UWI
I'm trying to create a well count based on the unique UWI for each On Production Date and graph it against the Total BOED/Total Capital with Date as the x-axis.
I've tried unique count by UWI but it then populates ALL rows of that UWI with the same well count total, so when it is summed the numbers are multiplied by the row count.
Plot Xaxis as Date and Y with Total BOED and Well Count.
Add a calculated column to create a row id using the rowid() function. Then, in the calculation you already have, the one that populates all rows of the UWI with the same well count, add the following logic...
if([rowid] = min([rowid]) over [UWI], uniquecount([UWI]) over [Production Date], null)
This will make it so that the count only populates once.
I have a Fact table that holds what are more or less, sales goals. The ETL process that populates it, generates 12 "weighted" values into seperate rows, one per month. Each row however, also includes a field that holds the yearly value. I do this with unpivot. This all works. Now Im trying to get at this data in the cube with an SSRS report. The problem seems to be that I can query and see the results that include either the yearly goal values or the monthly, weighted values, but not both in the same set.
[update for fact table details]
My Fact table looks something like this:
FK_Account
FK_User
Target
Projected
GoalYear
FK_DateKey
FK_Dept
MonthlyWeightedTarget
MonthlyWeightedProjected
When I load this fact table via the ETL, I get the date key associated with each monthly value (MonthlyWeightedTarget). That will be 12 seperate records, but each one will have the same yearly value. Im not including next years value as a seperate column, because there are seperate records already associated with that year.
Basically, the users define a set of goals associated with a given year. Then I am applying a "weighting" to generate 12 seperate "monthly" records, which total up to the yearly target goal. Hope this makes sense.
What I need to see is something like this result:
Account Name
YTDgoal
YearGoal
NextYrGoal
I created a calculated member for the NextYrGoal, but now Im not sure I even need it.
What would be a good approach for handling the above (getting the ytd, yearly and next year values) ?
If I was getting at these values with TSQL, I would sum on the monthly values, and just include the associated yearly and next years values, grouping by account, year-goal, next-year-goal
I am making a basic hospital management system in Access 2013.I have two tables named "Bed" and "Receipt".
Bed(BedID,AssignedDate,PatientID,DischargeDate,BedCharges)
Reciept(ReceiptID,PatientID,BedCharges)
I want to calculate "BedCharges" by calculating the number of days using "AssignedDate" and "DischargeDate" and then multiplying with a constant amount of charges per day.
Also the BedCharges calculated in "Bed" Table also needs to be in the "Receipt" table.
How can I count the number of days and then calculate the "BedCharges" in both the tables?
I am looking for a solution to convert the individual monthly averages to monthly averages from the beginning of the year. In other words from January to said month.
I used the cross tab wizard to group the rating of an employee into months in the column header. Employees are in the row header. The values of the ratings is then averaged.
My issue is this just shows the average rating of an employee for each month. I need a solution that would show me the average of each month if it included all results from the begging of the year (i.e. February would include January's and February's ratings).
TRANSFORM Avg(CSS_Table.[Emp_Rating]) AS AvgOfEmp_Rating
SELECT CSS_Table.[Emp]
FROM Rating_Table
GROUP BY Rating_Table.[Emp]
PIVOT Format([Survey_Date],"mmm") In ("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec");
One possible strategy to attack this
Create one query for each month that calculates the monthly YTD Average.
Create a Union query that joins them all together (i.e. make sure to use the same column names for each query).
Feed the union query into the Pivot.
I have a table named "Historical_Stock_Prices" in a MS Access database. This table has the columns: Ticker, Date1, Open1, High, Low, Close1, Volume, Adj_Close. The rows consist of the data for each ticker for every business day.
I need to run a query from inside my VB.net program that will return a table in my program that displays the growth rates for each quarter of every year for each ticker symbol listed. So for this example I would need to find the growth rate for GOOG in the 4th quarter of 2012.
To calculate this manually I would need to take the Close Price on the last BUSINESS day of the 4th quarter (12/31/2012) divided by the Open Price of the first BUSINESS day of the 4th quarter (10/1/2012). Then I need to subtract by 1 and multiply by 100 in order to get a percentage.
The actual calculation would look like this: ((707.38/759.05)-1)*100 = -6.807%
The first and last days of each quarter may vary due to weekend days.
I cannot come up with the correct syntax for the SQL statement to create a table of Growth Rates from a table of raw Historical Prices. Can anyone help me with the SQL statment?
Here's how I would approach the problem:
I'd start by creating a saved query Access named [Stock_Price_with_qtr] that calculates the year and quarter for each row:
SELECT
Historical_Stock_Prices.*,
Year([Date1]) AS Yr,
Switch(Month([Date1])<4,1,Month([Date1])<7,2,Month([Date1])<10,3,True,4) AS Qtr
FROM Historical_Stock_Prices
Then I'd create another saved query in Access named [Qtr_Dates] that finds the first and last business days for each ticker and quarter:
SELECT
Stock_Price_with_qtr.Ticker,
Stock_Price_with_qtr.Yr,
Stock_Price_with_qtr.Qtr,
Min(Stock_Price_with_qtr.Date1) AS Qtr_Start,
Max(Stock_Price_with_qtr.Date1) AS Qtr_End
FROM Stock_Price_with_qtr
GROUP BY
Stock_Price_with_qtr.Ticker,
Stock_Price_with_qtr.Yr,
Stock_Price_with_qtr.Qtr
That would allow me to use the following query in VB.NET (or C#, or Access itself) to calculate the quarterly growth rates:
SELECT
Qtr_Dates.Ticker,
Qtr_Dates.Yr,
Qtr_Dates.Qtr,
(([Close_Prices]![Close1]/[Open_Prices]![Open1])-1)*100 AS Qtr_Growth
FROM
(
Historical_Stock_Prices AS Open_Prices
INNER JOIN Qtr_Dates
ON (Open_Prices.Ticker = Qtr_Dates.Ticker)
AND (Open_Prices.Date1 = Qtr_Dates.Qtr_Start)
)
INNER JOIN
Historical_Stock_Prices AS Close_Prices
ON (Qtr_Dates.Ticker = Close_Prices.Ticker)
AND (Qtr_Dates.Qtr_End = Close_Prices.Date1)