I have a reference table as such in Sheet2 of my workbook
|Score 1| | |Score 2 | | |
----------------------------------------------------------
| name | min | max | target | min | max | target |
----------------------------------------------------------
| jeff | 30 | 40 | 35 | 45 | 55 | 50 |
----------------------------------------------------------
| steve | 35 | 45 | 40 | 45 | 65 | 55 |
then in Sheet1 I have a list of scores for each name as such
| jeff | 1 | | | | steve | 3 | | |
------------------------------------------------------------
| jeff | 2 | | | | steve | 2 | | |
------------------------------------------------------------
| jeff | 2 | | | | steve | 3 | | |
------------------------------------------------------------
| jeff | 3 | | | | steve | 3 | | |
------------------------------------------------------------
| jeff | 1 | | | | steve | 2 | | |
------------------------------------------------------------
I am aware of simple lookups and offsetting values but I can't think of a way to do multiple references on different levels... Is there a way to in Sheet1 next to the scores have a function that looks up the score, then who the score is for, and then prints the corresponding min max and target values for that person with that score.
So if it sees 1 and then jeff, it returns 30 | 40 | 35 in the next 3 boxes. I would do this manually but the list is very long and is populated daily by an existing macro.
Use VLOOKUP with the name (jeff) and take the index (1) to calculate the column to take.
Related
I have a table that looks like below with the employee name, Position, Hire Date and Exit Date.
+----------+----------------+-----------+-----------+
| Employee | Position | Hire Date | Exit Date |
+----------+----------------+-----------+-----------+
| John | Manager | 1-Feb-18 | |
| Mike | Senior Manager | 12-Oct-18 | 20-Jul-22 |
| Jennifer | Manager | 3-Apr-19 | |
| Cindy | CSR | 25-Nov-19 | 30-Mar-22 |
| Tom | CSR | 18-Jul-22 | |
| Rodrigo | Director | 19-Oct-21 | |
| Ashley | CSR | 17-Jan-22 | |
+----------+----------------+-----------+-----------+
I am looking to get the monthly headcount totals for each position starting January 2020. If Exit Date is blank it means that the employee is still currently working at the company. Below is an example of the desired output I am looking for:
+----------------+--------+--------+--------+--------+----+--------+
| Position | Jan-20 | Feb-20 | Mar-20 | Apr-20 | …. | Sep-22 |
+----------------+--------+--------+--------+--------+----+--------+
| Manager | 5 | 6 | 7 | 4 | | 9 |
| Senior Manager | 2 | 1 | 4 | 4 | | 4 |
| Director | 1 | 1 | 2 | 3 | | 5 |
| CSR | 10 | 14 | 15 | 15 | | 18 |
+----------------+--------+--------+--------+--------+----+--------+
I have a SQL query that returns data similar to this pseudo-table:
| Name | Id1 | Id2 | Guid |
|------+-----+-----+------|
| Joe | 1 | 1 | 1123 |
| Joe | 2 | 1 | 1123 |
| Joe | 3 | 1 | 1120 |
| Jeff | 1 | 1 | 1123 |
| Moe | 3 | 42 | 1120 |
I would like to display an additional column on the output, listing the total number of records that have matching GUIDs to a given row, like this:
| Name | Id1 | Id2 | Guid | # Matching |
+------+-----+-----+------+------------+
| Joe | 1 | 1 | 1123 | 3 |
| Joe | 2 | 1 | 1123 | 3 |
| Joe | 3 | 1 | 1120 | 2 |
| Jeff | 1 | 1 | 1123 | 3 |
| Moe | 3 | 42 | 1120 | 2 |
I was able to accomplish this by joining the query with itself, and doing a count. However, the query is rather large and takes awhile to complete, is there any way I can accomplish this without joining the query with itself?
You want a window function:
select t.*, count(*) over (partition by guid) as num_matching
from t;
I am trying to create a custom interface for a system that tracks tickets.
I have got tickets in a table of the form:
+----------------------+
| Section | Row | Seat |
+----------------------+
| 15 | A | 100 |
| 15 | A | 102 |
| 15 | A | 103 |
| 15 | A | 110 |
| 15 | A | 111 |
| 15 | B | 102 |
| 15 | B | 103 |
| 15 | B | 104 |
| 15 | C | 99 |
| 15 | C | 100 |
| 15 | C | 101 |
| 15 | C | 102 |
| 15 | C | 103 |
| 15 | C | 104 |
+----------------------+
I am trying to display the ticket 'blocks' where seats behind each other are marked as such. i.e. I'd like to be able to display:
+------------------------------------------------+
| Section | Row | Seat Range | Overlaps Previous |
+------------------------------------------------+
| 15 | A | 100 - 103 | No |
| 15 | B | 102 - 104 | Yes |
| 15 | C | 99 - 104 | Yes |
| 15 | A | 110 - 111 | No |
+------------------------------------------------+
Any thoughts?
You could have an additional relation that assignes all neighbouring seats to a given one. This will then also work better than any soly numerical scheme for any sort of separation of your seats. And you could allow for a neighbourhood across rows. From there you could then iteratively define any block of free seats.
If this is about supporting a cashier, I tend to think I would not solely address that in the database but seek for an integration with the GUI to identify the blocks via some backtracking upon a click on a first free seat.
the rank is also using Total value of the column. how to remove that.
it's a calculation.
+---------------------+------------+------+
| Row Labels | Change | Rank |
+---------------------+------------+------+
| ADDERALL XR | 20,236.00 | 7 |
| ATOMOXETINE | 11,448.00 | 9 |
| BIPHENTIN | 87,007.00 | 4 |
| CONCERTA | 151,397.00 | 3 |
| CONCERTA | | 11 |
| DEXEDRINE | 2,065.00 | 10 |
| GENERIC ATOMOXETINE | 17,778.00 | 8 |
| INTUNIV XR | | 12 |
| METHYLPHENIDATE ER | 21,969.00 | 6 |
| METHYPHENIDATE ER | | 13 |
| RITALIN IR | 40,826.00 | 5 |
| RITALIN SR | -19,238.00 | 14 |
| STRATTERA | -19,555.00 | 15 |
| VYVANSE | 220,762.00 | 2 |
| Grand Total | 534,695.00 | 1 |
+---------------------+------------+------+
In the excel sheet, right click on the area where cube data is populated, Click on the Pivot table options, goto Totals and Filters tab, and uncheck grand totals for columns options, and your totals will go off. It will remove totals for all columns, and you will have to sum those columns where you need totals by explicitly writing formulas for those columns.
SQL beginner here. I've got a simple test that users take, and each row is the answer to one of their questions. They're allowed to take the exam once per day, so some people take it a second time on another day, and thus will have many rows with different test dates. What I'm basically trying to do is get each user's most recent score.
Here is what my data looks like (table name is dumdum):
+----------+----------------+----------+------------------+
| USERNAME | CORRECT_ANSWER | RESPONSE | DATE_TAKEN |
+----------+----------------+----------+------------------+
| matt | 1 | 1 | 3/23/15 1:04:26 |
| matt | 2 | 2 | 3/23/15 1:04:28 |
| matt | 3 | 3 | 3/23/15 1:04:23 |
| david | 1 | 3 | 3/20/15 1:04:25 |
| david | 2 | 2 | 3/20/15 1:04:28 |
| david | 3 | 1 | 3/20/15 1:04:30 |
| david | 1 | 1 | 3/21/15 11:03:14 |
| david | 2 | 3 | 3/21/15 11:03:17 |
| david | 3 | 2 | 3/21/15 11:03:19 |
| chris | 1 | 2 | 3/17/15 12:45:52 |
| chris | 2 | 2 | 3/17/15 12:45:56 |
| chris | 3 | 3 | 3/17/15 12:45:59 |
| peter | 1 | 1 | 3/19/15 2:45:33 |
| peter | 2 | 3 | 3/19/15 2:45:35 |
| peter | 3 | 2 | 3/19/15 2:45:38 |
| peter | 1 | 1 | 3/20/15 12:32:04 |
| peter | 2 | 2 | 3/20/15 12:32:05 |
| peter | 3 | 3 | 3/20/15 12:32:05 |
+----------+----------------+----------+------------------+
and what I'm trying to get in the end...
+----------+------------------+-------+
| USERNAME | MOST_RECENT_TEST | SCORE |
+----------+------------------+-------+
| matt | 3/23/2015 | 100 |
| david | 3/21/2015 | 33 |
| chris | 3/17/2015 | 67 |
| peter | 3/20/2015 | 100 |
+----------+------------------+-------+
I ran into some trouble because I need to go by day, and not by day/time, so I had to do a weird maneuver where I went to character and back to date... This is what I have so far, but I can't figure out how to use only the scores from the most recent test (right now it's factoring in all scores from every test ever taken)...
SELECT username, to_date(substr(max(test_date),1,9),'dd-MON-yy') as most_recent_test, round((sum(case when response=correct_answer then 1 end)/3)*100,0) as score
FROM dumdum group by username
Any help would be appreciated! Thanks!
There are several solutions to this problem this one uses the WITH clause and the RANK function.
It also uses the TRUNC function rather than to_date(substr(
with mxDate as
(SELECT USERNAME,
TRUNC(DATE_TAKEN) as MOST_RECENT_TEST,
CASE WHEN CORRECT_ANSWER = RESPONSE THEN 1 else 0 END as SCORE,
RANK () OVER (PARTITION BY USERNAME
ORDER BY TRUNC(DATE_TAKEN) DESC) Rk
FROM dumdum)
SELECT
USERNAME,
MOST_RECENT_TEST,
SUM(SCORE)/3 * 100
FROM
mxDate
WHERE
rk = 1
GROUP BY
USERNAME,
MOST_RECENT_TEST
Demo