after years of quietly learning from this site I've finally hit a question who's answer I cannot seem to find on StackOverflow...
I have a pivot table that needs to calculate Net Promoter Score from several groups within a population.
Net promoter score is calculated like so:
[% of Population that give 9 or 10/10] - [% of Population that give 1 to 6/10]
Each individual record in my source data can only have a single Score of between 1 and 10:
RAW DATA:
Date (dd/mm) Country Type Score (1-10) NPS Category
01/05 US Order enq. 9 Promoter
13/05 US Check-out 5 Detractor
28/05 US Order enq. 7 Passive
So, with help from the answers below I've added a column to categorise each individual into the Promoter (9 or 10), Passive (7 or 8) and Detractor (1 to 6) groups based on that score: screenshot of raw data (with sensitive items hidden).
All that remains now is:
How can I create a calculated 'NPS' column like the one shown in my (rudimentary) representation of a pivot table below that takes the Detractor value from the Promoter value?
D = Detractor group
Pa = Passive group
Pr = Promoter group
| Order enquiry | Check-out |
| D Pa Pr NPS | D Pa Pr NPS |
-------------------------------------------------- |
GB | | |
May | 0 0 100 100 | 30 20 50 20 |
Jun | 10 30 60 50 | 35 35 60 25 |
Jul | 30 20 50 20 | 40 10 40 0 |
US | | |
May | 45 15 40 - 5 | 50 10 40 -10 |
Jun | 40 30 30 -10 | 40 30 30 -10 |
Jul | 5 35 60 55 | 20 40 40 20 |
My attempt at a calculated column can be seen in this screenshot. This results in an error and of course I haven't managed to convert the NPS counts into percentages yet.
It would be my suggestion to create a new column in the source that calculates D, Pa,Pr by a formula.
You can now create the % for these values in the pivot. The NPS column can either be calculated after pivoting the output field, or by creating a pivot-column formula in Excel.
It's not clear from your question how your data is laid out, or what exactly you're asking. From what I can see, you need to add a column in your raw data table, which says something like
=COUNTIFS(UniqueID,MyUniqueID,Score,">=9")-COUNTIFS(UniqueID,MyUniqueID,Score,"<=6")
Then another column that says
=IF(NetPromoter>=9,"Pr",IF(NetPromoter>=7,"Pa","D"))
And then in your pivot table you add the Classification as a new subcolumn, and add the NPS as the Average of your NPS column, or something like that.
Please show your data if you want the formulas changed to meet your actual range/variable terms.
Related
So, the title might be confusing, so I'll outline like this:
I am making a weightloss chart. One of the clients gets to open a bag of legos as a reward for every 2lbs that he loses, as long as he does it based on a goal progression. For instance, if he weights 260, and loses 2lb, he gets his reward. However, if he gains a lb, now he has to lose 3lb to get his reward.
Currently, I have charts that look like this:
Column O
Column P
Current Weight
Amount Lost
263
8
Column L
Column M
Next Lego Bag
261
Lbs until next bag
2
After he hits 261, I want that cell that says 261 in Col M to say "259". So if he weighs in again, I want it to look like this automatically.
Column O
Column O
Current Weight
Amount Lost
260.5
10.5
Column L
Column M
Next Lego Bag
259
Lbs until next bag
1.5
What is the best way to automatically make that cell in Column M change when he hits the 2lb goal? I have a table that basically states all the goal weighs he needs to hit for each reward. It looks like this:
| Column Z | Column AA | Column AB | (formatting is being weird)
| -------- | -------- | -------- |
| Bag | Target Weight | Amount Lost |
| Bag 5 | 261 | 8 |
| Bag 6 | 259 | 10 |
| Bag 7 | 257 | 12 |
| Bag 8 | 255 | 14 |
| Bag 9 | 253 | 16 |
etc
I've tried a few things, but I'm coming up blank, because it won't always be in whole numbers the amount he loses, so matching it to the target weight has been tough.
In really, really simple terms, I need it to basically say this:
If current weight > goal 1, then A1 = goal 1. If current weight < Goal 1, then A1 = Goal 2, and all the way to Goal 21. However, A1 can't change to the next goal until current weight is less than that goal.
Thanks all
I have tried IF statements and Floor statements to get an ongoing changing thing, but it's not working.
In M2: =IF(MOD(O2+1,2)=0,2,MOD(O2+1,2))
In M1:
=O2-M2
Or using O365 in M1:
=LET(m,MOD(O2+1,2),
lbs,IF(m=0,2,m),
VSTACK(O2-lbs,lbs))
I have table in Excel with some information, the main column is Weight (in KG).
I need Excel to group Rows into groups, where each group's sum of Weight (in KG) is less than 24000 kg and greater than 23500 kg.
To do so manually is very time consuming, since there are thousands of rows with different Weight values.
table example:
ID | Weight (KG)
1 | 11360
2 | 22570
3 | 10440
4 | 20850
5 | 9980
6 | 9950
7 | 19930
8 | 9930
9 | 9616
10 | 9580
... and so on
The closest I got to solving the problem is adding 3 new columns: Total, Starts Group and Group Number.
Total function: =IF(SUM(B3+C2)>24000,B3,SUM(B3+C2)) - calculates current sum of Weight values in the current group
Starts group function: =IF(SUM(B3+C2)>24000,B3,SUM(B3+C2)) - checks if current row makes a new group
Group number function: =IF(D3,E2+1,E2) - all rows that contain same number are in the same group
The problem with this is that it doesn't create groups that are greater than 23500 too, but only that are less than 2400 kg.
It doesn't have to be in Excel, any app/script would work too, it just has to get the job done.
Desired output:
ID | Weight (KG) | Group ID
1 | 11360 | 1
2 | 2570 | 2
3 | 10440| 1
4 | 20850 | 2
5 | 180| 2
6 | 1950 | 1
So i want to get groups similar to these:
Group number 1 - Total 23750kg
Group number 2 - Total 2360kg
Url to my example table with functions I added:
https://1drv.ms/x/s!Au0UogL2uddbgTFJJ4TzSKLhPFPE?e=r02sPX
You may want to try this for total:
=IF(SUM(B3+C2)>24000;B3;IF(SUM(B3+C2)<=23500;SUM(B3+C2);B3))
edit:
I just saw you pasted the proposal into your sample file. You may need to replace the ; with , due to regional format settings.
The limitation remains:
first priority is <24k and second priority is >=23.5k
If the next row’s value makes the “jump” above 24k you may end up remaining below 23.5k and switching to the next group
edit2:
You may want to look up some optimization models and algorithms for your combination problem before trying to implement it in Excel.
Or try with simple rules, e.g. categorizing your rows such as weight over 20k, 16k, 12k,8k, 4k, 2k, 1k, 500, etc. and try to group/combine them accordingly
I do wonder how it is possible to make sliding windows in Pandas.
I have a dataframe with three columns.
Country | Number | DayOfTheYear
===================================
No | 50 | 0
No | 20 | 1
No | 37 | 2
I would love to see 14 day chunks for every country and day combination.
The country think can be ignored for the moment, since I can filter those manually in some way. But imagine there is only one country, is there a smart way to get some sort of summed up sliding window, resulting in something like the following?
Country | Sum | DatesOftheYear
===================================
No | 504 | 0-13
No | 207 | 1-14
No | 337 | 2-15
I would also accept if if they where disjunct, being only 0-13, 14-27, etc.
But I just cannot come along with Pandas. I know an old SQL solution, but is there anybody having a nice idea for Pandas?
If you want a rolling windows of your dataframe, you can simply use the .rolling function of pandas : https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.rolling.html
In your case : df["Number"].rolling(14).sum()
I am trying to work on a Excel that has a giant amount of data with dates, to simplify I want it to group the different numbers into weeks, allow me to explain:
The actual rows are like:
29-11-2018 | 49 | 1 | 4 |7 | 2
30-11-2018 | 49 | 4 | 0 |2 | 1
Where "49" is the week number from the date. I'm trying to make Excel put together those lines by week and add the other lines, like this:
49 | 5 | 4 | 9 | 3
And this for all the weeks, so I can know the exact number of data for every week.
Is there a way of doing this?
Thanks!
Regards,
Assuming your data is located at A2:F3..
H2 ---> =B2
put
I2 ---> =IF($B1<>$B2,C2,I1+C2)
and drag to L2, then
N2 ---> =IF($B3<>$B2,H2,"")
and drag to R2. Select H2:R2 and drag to the end..
you'll see your intended result in column N to R.
I have a table in excel setup as followed:
DATE | TIME | PERSON IDENTIFIER | ARRIVAL OR LEAVING
01/01/15 | 13:00 | AB1234 | A
01/01/15 | 13:01 | AC1234 | A
01/01/15 | 13:03 | AD1234 | A
01/01/15 | 13:05 | AE1234 | A
01/01/15 | 13:09 | AF1234 | A
01/01/15 | 13:10 | AB1234 | L
01/01/15 | 13:15 | AG1234 | A
01/01/15 | 13:13 | AC1234 | L
The table shows when people arrive and leave a medical ward. The ward holds 36 patients and I'm wanting to get an idea of how close it is to capacity (it's normally always full). The ward is open 24/7 and has patients arriving 24/7 but I'd like to show the time it is at the certain capacities.
For example if we inputted 24 hours of data
36 patients (0 empty beds) - 22hr 15min
35 patients (1 empty bed) - 01hr 30min
34 patients (2 empty beds) - 00hr 15min
I'm thinking we just need a count for every time some arrives and a negative count when they leave but I can't figure out how to extract the time from that.
This is going to be pretty ugly (NB using your columns from above):
order the entries sequentially
you can keep a running tally in column E of patients on hand currently with E1 = 36(or whatever starting value you have) and =IF(D2="A",E1+1,E1-1).
Get the time elapsed since the previous entry with =(B3-B2) and put that in column F
Count the chunks where you had less than a full house with =SUMIF(F:F, "<36")