The Problem:
First create a table called amttopay that has three fields: rec_no, idno and amt (make amount a numeric field that can hold 3 decimal places. You are also going to use a copy of the donor table for this assignment. Take in a number that matches an idno on the donor table. Check the yrgoal for that record. If it is larger than 500 then double it to create a new goal and write four records on the amttopay table containing the quarterly payment number (1 through 4), the idno, and the quarterly amount to pay to achieve the new goal. If it is not larger than 500 then add 50% to the goal to make the new goal and process it by writing the four records with the same information.
I've created the table, and I understand I've gotta write PL/SQL code to accomplish this, but what I'm not understanding is how the question is worded.
"If it is larger than 500 then double it to create a new goal and write four records on the amttopay table containing the quarterly payment number (1 through 4), the idno, and the quarterly amount to pay to achieve the new goal."
What does that mean? How would I go about bringing logic into this?
Thanks so much for the help.
Assuming you are trying to actually understand the question, this is how you would do it:
Break your statement into parts:
Check the yrgoal for that record.
If it is larger than 500 then
double it to create a new goal
and write four records on the amttopay table containing the quarterly payment number (1 through 4), the idno, and the quarterly amount to pay to achieve the new goal.
If it is not larger than 500 then
add 50% to the goal to make the new goal
and process it by writing the four records with the same information.
Simplified, this gives the following:
Create new record
if yrgoal>500 then
double yrgoal
Create 4 records with idnoand the quarterly amount
else
yrgoal * 1.5
Create 4 records as before
The rest is up to you, of course …
Related
I am stuck on something, which I have never used in my 10 years of SQL. I thought it would be useful if there was someway of doing this. Firstly I am running SQL Server Express (latest free version) on Windows. To talk to the database I am using SSMS.
There are three tables/queries.
1 table (A) has one data value I want to pull through.
2 tables (B)/(C) have multiple values.
Column common to all tables is CAMPAIGN NAME
Column common to (B)/(C) is PRODUCT NAME
This is an example of the data:
OUTPUT GOAL
I have tried the following:
UNION ALL (but this does not assist when I want to calculate AMOUNT - MARKETING - TOTAL INVESTMENT
I tried PARTITION (but I simple could now get it to work.
If I use joins, it brings through a head count / total investment and marketing cost per product, which when using SUM brings through the incorrect values for head count / total investment and marketing cost vs total amount, quantity.
I tried splitting the costs based on Quantity / Total Quantity or Amount / Total Amount, but the cost associated with the product is not correct or directly relating to the product this way.
Am I trying to do something impossible, or is there a way to do this in SQL?
The following comes pretty close to what you want:
select . . . -- select the columns you want here
from a join
b
on b.campaign_name = a.campaign_name join
c
on c.campaign_name = b.campaign_name and
c.product_name = b.product_name;
This produces a result set with a separate row for each campaign/product.
My problem might be simple but i have been stuck on it for a while. I have a list of accounts in column B (XXXXXX). Then in column D i have a quantity of contracts traded. In the column E i have the prices of those contracts. The column next to it has the name of the product traded.
The way i get the raw data i sometimes get a trade split in 2 parts. For example i might have on one row for the same (column B) account XXXXXX , QTY(Column D) 2 and Price(column E) 5.23$ and security(column F) NKE. In the next row i have the same account XXXXX , QTY is 3 , Price is same and the security is same. I want something that will loop through the entire data and add the QTY to 5 and keep everything else the same. So at the end i should have one row with with account XXXXXX with QTY 5 Price 5.23$ and Security NKE. I have tried pivot tables but it adds the price of the security to 10.46$ and that messes up calculations. I cannot figure what sort of a macro i should use. Can someone please help. I am posting a picture to help understand the problem. THanks. enter image description here
A pivot should show you what you want. Don't put Price in VALUES. Account, Security and Price can go in ROWS then Sum of Quantity in VALUES. That should give you the breakdown you're after.
Choose the most unique column (probably F).
Filter your data by this column.
Make an infinite loop. Inside the loop:
declare a variable for row number
check if the current row has the same value in column F as the row below
if yes, add quantities in first row and delete second row
if no, add one to row number and check if there is something in the current row. If no, exit the loop.
To the person who posted a macro. Can you please repost? I was just writing a note to you and I see you deleted the comment
Could you please help me figuring out how to accomplish the following.
I have a table containing the number of products available between one date and another as per below:
TABLE MyProducts
DateProduct ProductId Quantity Price
26/02/2016 7 2 100
27/02/2016 7 3 100
28/02/2016 7 4 100
I have created a form where users need to select a date range and the number of products they are looking for (in my example, the number of products is going to be 1).
In this example, let's say that a user makes the following selection:
SELECT SUM(MyProducts.Price) As TotalPrice
FROM MyProducts WHERE MyProducts.DateProduct
Between #2/26/2016# And #2/29/2016#-1 AND MyProducts.Quantity>=1
Now the user can see the total amount that 1 product costs: 300
For this date range, however, I want to allow users to select from a combobox also the number of products that they can still buy: if you give a look at the Quantity for this date rate, a user can only buy a maximum of 2 products because 2 is the lowest quantity available is in common for all the dates listed in the query.
First question: how can I feed the combobox with a "1 to 2" list (in this case) considering that 2 is lowest quantity available in common for all the dates queried by this user?
Second question: how can I manage the products that a user has purchased.
Let's say that a user has purchased 1 product within this date range and a second user has purchased for the very same date range the same quantity too (which is 1) for a total of 2 products purchased already in this date range. How can I see that for this date rate and giving this case the number of products actually available are:
DateProduct ProductId Quantity Price
26/02/2016 7 0 100
27/02/2016 7 1 100
28/02/2016 7 2 100
Thank you in advance and please let me know should you need further information.
You could create a table with an integer field counting from 1 to whatever max qty you could expect. Then create a query that will only return rows from your new table up to the min() qty in the MyProducts table. Use that query as the control source of your combobox.
EDIT: You will actually need two queries. The first should be:
SELECT Min(MyProducts.Quantity) AS MinQty FROM MyProducts;
which I called "qryMinimumProductQty". I create the table called "Numbering" with a single integer field called "Sequence". The second query:
SELECT Numbering.Sequence FROM Numbering, qryMinimumProductQty WHERE Numbering.Sequence<=qryMinimumProductQty.MinQty;
AFAIK there is no Access function/feature that will fill in a series of numbers in a combobox control source. You have to build the control source yourself. (Anyone with more VBA experience might have a solution to solve this, but I do not.)
It makes me ache thinking of an entire table with a single integer column only being used for a combobox though. A simpler approach to the combobox would just to show the qty available in a control on your form, give an unbound text box for the user to enter their order qty, and add a validation rule to stop the order and notify them if they have chosen a number greater than the qty on hand. (Just a thought)
As for your second question, I don't really understand what you're looking for either. It sounds like there may be another table of purchases? It should be a simple query to relate MyProducts to Purchases and take the difference between your MyProducts!qty and the Purchases!qty. If you don't have a table to store Purchases, it might be warranted based on my cursory understanding of your system.
For expamle I have a table A with 2 variables, the first one is a customer id, and the second is the income of the customer which is in range from 100 to 200 US dollars. The task is to create a table B where I would have customers with mean of income 150 USD and the amount of customers should be maximal. In other words I need to have table B with the maximal amount of customers from table A and the mean of income among the customers of table B should be exactly equal to 150. Is there any elegant approach using SAS Enterprise Guide?
Sort the records by income, low to high. Then compute the mean of all records 1 - N. Find N where mean = 150.
data test;
do id = 1 to 1000;
income = 100 + round(ranuni(1)*100,1);
output;
end;
run;
proc sort data=test;
by income;
run;
data want(where=(ave<=150));
set test;
retain sum 0;
sum = sum + income;
ave = sum / _n_;
drop sum;
run;
You want as many low values as possible. This then lets you add large values to get the mean to 150. So sorting by income should give you what you want.
A greedy algorithm might do the job well-enough, depending on the structure of the data. This is definitely not guaranteed to be optimal, but it can be implemented relatively fast.
The idea is:
Calculate the average of all the records
If the average is $150 then stop
Remove the largest/smallest value to increase or decrease the average, as appropriate
If the average is $150 then stop
Repeat (1) until finished
This should work pretty well if the values cluster around $150. If they are widely dispersed, then you might not get any records in the final bins.
If the algorithm works on your data, then there may be faster ways of implementing it.
I have this spreadsheet i am working on for awhile. Its basically attendance piece. End user keeps track of employees, if they showed up or not etc...
I have tired looking up loops but i couldn't figure out how to do what i am trying to do.
What i have in this excel.
A-D : Emp info
E-∞ : 1-3 Days/Dates; 4-∞ emp data (if they missed a day, values for that)
To get better understanding, see this
The data entered from E5 to xx thats where i am trying to get this vba working.
Anything the script detects first value either '1' or '2', start 90 days (cells) from there. And after 90, reset to 0. starting from 91 start search for '1' or '2' and do similar.
See the excel file for better understanding. If it doesn't make sense, ill be happy to simplify.
Thank You
The most efficient and clean way to handle this is to use a form of a relational data model because it can be done easily without using VBA code. You will have two simple tables in your spreadsheet, EmployeeInfo and AttendanceRecords. Your Employee info will look something like this
Emp# Name Craft # In 90 Days NumOf2s NumOf1s
1 EMP 1 SM Site Manager 0 0 0
2 EMP 2 SM Site Manager 1 0 1
3 EMP 3 SM Site Manager 0 0 0
4 EMP 4 SM Site Manager 0 0 0
5 EMP 5 SM Site Manager 1 0 1
The last three columns are calculated from the AttendanceRecords table. This table is going to be variable size but this way you only need to store the important data (When employees actually got marks). It will look like this.
Emp# Date Days Count
1 12/1/2013 122 1
3 1/1/2014 91 2
2 2/1/2014 60 1
5 2/15/2014 46 1
You can have multiple entries for the same day and the same employee. The important thing is that we only need one entry per infraction (NOTE: In order to do this in a proper database type model, each attendance record should also have some kind of incrementing totally unique ID (like employees), but we can forgo that for this application).
You enter in the employee number, the date, and the count. The "Days" column then auto calculates the age of the record with the following formula:
=TODAY()-[#Date]
NOTE: If the [#Date] notation does not look familiar, this is because it deals with Excel Tables. I recommend you read up on those if not already familiar.
So now we have the age of each record. So back on the EmployeeInfo table, we use the following formula to get all AttendanceRecords that apply to Employee x for the last 90 days
=SUMIFS(AttendanceRecords[Count],AttendanceRecords[Emp'#],[#[Emp'#]],AttendanceRecords[Days],"<=90")
You can now also use some simple formulas to get the other columns I pointed out, including the number of 2 count in fractions or the number of 1 count infractions:
=COUNTIFS(AttendanceRecords[Emp'#],[#[Emp'#]],AttendanceRecords[Days],"<=90",AttendanceRecords[Count],2)
=COUNTIFS(AttendanceRecords[Emp'#],[#[Emp'#]],AttendanceRecords[Days],"<=90",AttendanceRecords[Count],1)
There is a lot more data that could be gathered, including the date of the last infraction, total number of infractions for all time, etc. If any of the formulas or terms I used don't make sense or need more explaining, feel free to ask.
EDIT: If you want them automatically removed after 90 days, it would be relatively easy to write a VBA script to do this. It would also be easy to just sort the AttendanceRecords table on Days and delete all records that are older than a certain number of days. However, unless you see yourself adding hundreds of records a week, this really shouldn't be necessary. Also, If you want to write a Visual Basic form to enter in new infractions, that is definitely very possible, but another discussion.
EDIT: To respond to concerns about viewing when these issues happened, I will give you an example of a way to view the data in your tables. One of the advantages of excel tables is that the order of the records isn't as absolute as in a normal range, so we can sort, rearrange, and filter them to see what we need. So if you need to see all of the issues with employee 3, you just go to the Emp# column in the AttendanceRecords table, select the little arrow down button next to Emp#, uncheck 'Select All', and then check the '3', and then the only values I will see in the table are the ones from employee 3. I can then sort the 'Date' column by clicking its little arrow and selecting 'Sort Newest to Oldest'.
What it comes down to is that you can view ANY data you need to, and if you think through what you really need to see, you can set up your summary table (EmployeeInfo) to display enough data that you hardly ever have to look at the AttendanceRecords table. But if you need to, you can go into that table and do a manual sort (as I described above) very easily.
EDIT: To help add some of the functionality I've shown above to the askers current spreadsheet, I will show the current formula.
=SUMIFS($E5:$BR5,$E$3:$BR$3,">"&(TODAY()-90))
For EMP 1, this formula uses the employees row as the sum range. It then looks at the field of dates in the corresponding columns in row 3. If the date in row 3 is > TODAY()-90, then we will add it to the count. This will at least just look at the infractions for the previous 90 days.