I am not sure which function is needed, either Vlookup or Match to bring a value from one report to another. For example, I am trying to introduce these values into another report that is more comprehensive and includes more categories. I am looking for a formula that would correctly identify a value such as the quantity of Hot Tea but also take into consideration the header of Morning versus Evening as the results are quite different and thus a plain vlookup won't work.
Chart 1
Morning | Quantity
Hot tea | 10
Hot pie | 15
Mac and Cheese | 20
Afternoon |
Hot chocolate | 30
Hot pie | 35
Mac and Cheese | 40
Evening |
Hot tea | 25
Croissants | 20
Broccoli | 20
Chart 2
Morning |Quantity |Regular | No Trans Fat |No Corn Syrup
Hot tea | 10 | 3 | 2 | 5
Hot pie | 15 | 5 | 2 | 8
Mac and Cheese| 20 | 15 | 5 | 0
Afternoon
Hot chocolate | 30 | 25 | 2 | 3
Hot pie | 35 | 30 | 5
Mac and Cheese| 40 | 38 | 1 | 1
Evening
Hot tea | 25 | 20 | 2 | 3
Croissants | 20 | 17 | 2 | 1
Broccoli | 20 | 16 | 1 | 3
allright you need to have a work around so here's my suggestion. let's pretend that your table starts at A1 with Morning. C1 i want you to type "Morning"
then in C2 use this formula
=IF(B2="",A2,C1)
then drag down to the end of your list and you should get something like this
Now not knowing what your other sheet looks like the last part you may need to rework. but i would set up a table like this
and in cell B2 use this formula
=SUMIFS(Sheet1!$B:$B,Sheet1!$A:$A,Sheet2!$A2,Sheet1!$C:$C,B$1)
and drag to fill up rest of the table. like i said not knowing how you're table us set up it's difficult to say
Related
I'm currently trying to query up a list of the top 15 occurring faults on a PLC in the warehouse. I've gotten that part down:
Select top 15 fault_number, fault_message, count(*) FaultCount
from Faults_Stator
where T_stamp> dateadd(hour, -18, getdate())
Group by Fault_number, Fault_Message
Order by Faultcount desc
HOOOWEVER I now need to find out the accumulated downtime of said faults in the top 15 list, information in another column "Fault_duration". How would I go about doing this? Thanks in advance, you've all helped me so much already.
+--------------+---------------------------------------------+------------+
| Fault Number | Fault Message | FaultCount |
+--------------+---------------------------------------------+------------+
| 122 | ST10: Part A&B Failed | 23 |
| 4 | ST16: Part on Table B | 18 |
| 5 | ST7: No Spring Present on Part A | 15 |
| 6 | ST7: No Spring Present on Part B | 12 |
| 8 | ST3: No Pin Present B | 8 |
| 1 | ST5: No A Housing | 5 |
| 71 | ST4: Shuttle Right Not Loaded | 4 |
| 144 | ST15: Vertical Cylinder did not Retract | 3 |
| 98 | ST8: Plate Loader Can not Retract | 3 |
| 72 | ST4: Shuttle Left Not Loaded | 2 |
| 94 | ST8: Spring Gripper Cylinder did not Extend | 2 |
| 60 | ST8: Plate Loader Can not Retract | 1 |
| 83 | ST6: No A Spring Present | 1 |
| 2 | ST5: No B Housing | 1 |
| 51 | ST4: Vertical Cylinder did not Extend | 1 |
+--------------+---------------------------------------------+------------+
I know I wouldn't be using the same query, but I'm at a loss at how to do this next step.
Fault duration is a column which dictates how long the fault lasted in ms. I'm trying to have those accumulated next to the corresponding fault. So the first offender would have those 23 individual fault occurrences summed next to it, in another column.
You should be able to use the SUM accumulator:
Select top 15 fault_number, fault_message, count(*) FaultCount, SUM (Fault_duration) as FaultDuration
from Faults_Stator
where T_stamp> dateadd(hour, -18, getdate())
Group by Fault_number, Fault_Message
Order by Faultcount desc
I have an influxdb table lets call it my_table
my_table is structured like this (simplified):
+-----+-----+-----
| Time| m1 | m2 |
+=====+=====+=====
| 1 | 8 | 4 |
+-----+-----+-----
| 2 | 1 | 12 |
+-----+-----+-----
| 3 | 6 | 18 |
+-----+-----+-----
| 4 | 4 | 1 |
+-----+-----+-----
However I was wondering if it is possible to find out how many of the metrics are larger than a certain (dynamic) threshold for each time.
So lets say I want to know how many of the metrics (columns) are higher than 5,
I would want to do something like this:
select fieldcount(/m*/) from my_table where /m*/ > 5
Returning:
1
1
2
0
I am relatively restricted in structuring the database as I'm using diamond collector (python) which takes care of all datacollection for me and flushes it to my influxdb without me telling what the tables should look like.
EDIT
I am aware of a possible solution if I hardcode the threshold and add a third metric named mGreaterThan5:
+-----+-----+------------------+
| Time| m1 | m2 |mGreaterThan5|
+=====+=====+====+=============+
| 1 | 8 | 4 | 1 |
+-----+-----+----+-------------+
| 2 | 1 | 12 | 1 |
+-----+-----+----+-------------+
| 3 | 6 | 18 | 2 |
+-----+-----+----+-------------+
| 4 | 4 | 1 | 0 |
+-----+-----+----+-------------+
However this means that I cant easily change this threshold to 6 or any other number so thats why I would prefer a better solution if there is one.
EDIT2
Another similar problem occurs with trying to retrieve the highest x amount of metrics. Eg:
On Jan 1st what were the highest 3 values of m? Given table:
+-----+-----+----+-----+----+-----+----+
| Time| m1 | m2 | m3 | m4 | m5 | m6 |
+=====+=====+====+=====+====+=====+====+
| 1/1 | 8 | 4 | 1 | 7 | 2 | 0 |
+-----+-----+----+-----+----+-----+----+
Am I screwed if I keep the table structured this way?
I'm making a web solution using ASP.net MVC6 and Azure SQL-db.
My goal is to make an order system for ordering work teams on a weekly basis and it must be possible to display the work order 6 weeks ahead from todays date. Each work order is connected to a project. A manager should be able to choose a project and then start ordering different kinds of workers (disiplin), assign his need for manpower for each disiplin for 6 weeks ahead. A disiplin can be carpenter, painter, bricklayer etc.
Each project can have any number of disiplin assigned so it's not possible to hard code this into the table structur. You can hardcode the week either as week 2 in 2016 is different from week 2 in 2017
A workorder can look like this:
Project A
Disiplin | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6
Carpenter | 4 | 3 | 0 | 0 | 3 | 0
Painter | 0 | 0 | 2 | 3 | 3 | 3
Next project can look like this:
Project B
Disiplin | Week 44 | Week 45 | Week 46 | Week 47 | Week 48 | Week 49
Carpenter | 4 | 3 | 0 | 0 | 3 | 0
Painter | 0 | 0 | 2 | 3 | 3 | 3
Bricklayer| 1 | 2 | 1 | 5 | 3 | 0
Carpentry | 4 | 3 | 0 | 0 | 3 | 0
As you see the week number and number of disiplin may vary from project to project. I can't seem to wrap my head around how to design the SQL-tables to efficently store these values.
Can anyone review this issue and point me in the right direction? Thanks.
EDIT:
The problem is really not to store data but how to query for them. You never know for how many weeks each disiplin has registered data and you don't know how many disiplins registered on each project. In addition for week 2 you may have registered the manpower-needs for Carpenters but not for Painters. I could make a query for each disipline, but I would preferably have one query to get the complete grid.
There is a SQL server table containing 1 million of rows. A sample data is shown below.
Percentage column is computed as = ((Y/X)* 100)
+----+--------+-------------+-----+-----+-------------+
| ID | Amount | Percentage | X | Y | Z |
+----+--------+-------------+-----+-----+-------------+
| 1 | 10 | 9.5 | 100 | 9.5 | 95 |
| 2 | 20 | 9.5 | 100 | 9.5 | 190 |
| 3 | 40 | 5 | 100 | 5 | 200 |
| 4 | 50 | 5.555555556 | 90 | 5 | 277.7777778 |
| 5 | 70 | 8.571428571 | 70 | 6 | 600 |
| 6 | 100 | 9.230769231 | 65 | 6 | 923.0769231 |
| 7 | 120 | 7.058823529 | 85 | 6 | 847.0588235 |
| 8 | 60 | 10.52631579 | 95 | 10 | 631.5789474 |
| 9 | 80 | 10 | 100 | 10 | 800 |
| 10 | 95 | 10 | 100 | 10 | 950 |
+----+--------+-------------+-----+-----+-------------+
Now I need to find the rows such that their amount value add up to a given Amount and weighted average matches to the given Percentage.
For example, if the target Amount =365 and target Percentage=9.84, then from the given dataset, we can say that rows with ID=1,2,6,8,9,10 form the subset which will match the given targets.
Amount = 10+20+100+60+80+95
= 365
Percentage = Sum of (product of Amount and Percentage)/Sum of (Amount)
(I am using Z column to store the products of Amount and Percentage to make the calculations easier)
= ((10*9.5)+(20*9.5)+(100*9.23077)+(60*10.5264)+(80*10)+(95*10))/ (10+20+100+60+80+95)
= 9.834673618
So the rows 1,2,6,8,9,10 matches the given target sum and target weighted average.
Proposed algorithm should work on the 1 million rows and main objective is to achieve the match on the weighted average (Percentage) with Amount as much close as possible to the target Amount.
I found few questions on the stackoverflow which are related to match the target sum. But my problem is to match two target attributes Sum and weighted average.
Which algorithm can be used to achieve this?
Since the target "Percentage" is only approximate (therefore not an actual constraint), let's try removing it and find a solution for Amount. This can only make the problem easier.
What's left is the Subset Sum Problem, which is NP-complete. There are simple exponential-time solutions, and sneaky pseudo-polynomial-time solutions, but I don't think any of them will be practical for a table with 106 rows.
If this is an academic exercise, I suggest you write up the cleverest pseudo-polynomial-time solution you can come up with. If it's a task in the real world, I suggest you go back to the person who gave it to you, explain that an exact solution is impractical, and negotiate for an approximate solution.
I want to line up multiple series so that all milestone dates are set to month zero, allowing me to measure the before-and-after effect of the milestone. I'm hoping to be able to do this using SQL server.
You can see an approximation of what I'm starting with at this data.stackexchange.com query. This sample query returns a table that basically looks like this:
+------------+-------------+---------+---------+---------+---------+---------+
| UserID | BadgeDate | 2014-01 | 2014-02 | 2014-03 | 2014-04 | 2014-05 |
+------------+-------------+---------+---------+---------+---------+---------+
| 7 | 2014-01-02 | 232 | 22 | 19 | 77 | 11 |
+------------+-------------+---------+---------+---------+---------+---------+
| 89 | 2014-04-02 | 345 | 45 | 564 | 13 | 122 |
+------------+-------------+---------+---------+---------+---------+---------+
| 678 | 2014-03-11 | 55 | 14 | 17 | 222 | 109 |
+------------+-------------+---------+---------+---------+---------+---------+
| 897 | 2014-03-07 | 234 | 56 | 201 | 19 | 55 |
+------------+-------------+---------+---------+---------+---------+---------+
| 789 | 2014-02-22 | 331 | 33 | 67 | 108 | 111 |
+------------+-------------+---------+---------+---------+---------+---------+
| 989 | 2014-01-09 | 12 | 89 | 97 | 125 | 323 |
+------------+-------------+---------+---------+---------+---------+---------+
This is not what I'm ultimately looking for. Values in month columns are counts of answers per month. What I want is a table with counts under relative month numbers as defined by BadgeDate (with BadgeDate month set to month 0 for each user, earlier months set to negative relative month #s, and later months set to positive relative month #s).
Is this possible in SQL? Or is there a way to do it in Excel with the above table?
After generating this table I plan on averaging relative month totals to plot a line graph that will hopefully show a noticeable inflection point at relative month zero. If there's no apparent bend, I can probably assume the milestone has a negligible effect on the Y-axis metric. (I'm not even quite sure what this kind of chart is called. I think Google might have been more helpful if I knew the proper terms for what I'm talking about.)
Any ideas?
This is precisely what the aggregate functions and case when ... then ... else ... end construct are for:
select
UserID
,BadgeDate
,sum(case when AnswerDate = '2014-01' then 1 else 0 end) as '2014-01'
-- etc.
group by
userid
,BadgeDate
The PIVOT clause is also available in some flavours and versions of SQL, but is less flexible in general so the traditional mechanism is worth understanding.
Likewise, the PIVOT TABLE construct in EXCEL can produce the same report, but there is value in maximally aggregating the data on the server in bandwidth competitive environments.