So say I had a table like this that has the score of 3 different teams for the week.
Day Team1 Team2 Team3
Mon 5 2 2
Tue 0 7 7
Wed 6 3 2
Thu 0 0 1
Fri 13 6 5
I want a formula that can find the highest score for the day and mark it on a identical table with a value of 1 and mark the other teams 0.
If there are 2 values that are the highest I want them to both be marked 1.
There will never be day with all 0's
Using the data from the table above my other table would look like this.
Day Team1 Team2 Team3
Mon 1 0 0
Tue 0 1 1
Wed 1 0 0
Thu 0 0 1
Fri 1 0 0
I have a working formula
=IF(AND(B2>=$C2,B2>=$D2,B2>=$E2),1,0)
I was just hoping there was a better way to write this formula, so that I can drag it across the teams and have it still work.
If I try to drag my formula now. I have to update the formula for each column. Sometimes I might have 20 + teams.
Any advice is appreciated.
Use MAX():
=IF(B2=MAX($B2:$D2),1,0)
Then copy/drag over and down.
Related
i want to add +2 days to column based on other column i use this table :
Company Type Joinning Date Starting day
1 1 19/01/2019
2 0 19/01/2019
3 0 19/01/2019
4 1 20/01/2019
5 0 20/01/2019
6 1 21/01/2019
i want to add +2 DAYS in column Starting day which is Joining day + 2 days if the company have type 1 how can i do it ?
What i've tried ?
pic
Desired Results
Company Type Joinning Date Starting day
1 1 19/01/2019 21/01/2019
2 0 19/01/2019
3 0 19/01/2019
4 1 20/01/2019 22/01/2019
5 0 20/01/2019
6 1 21/01/2019 23/01/2019
Just to show my comment of:
=IF(B2=1,C2+2,"")
Works. The output cell must be formatted in the desired method:
Hello I have to count how many people were scheduled on each hour in excel so I transformed starting and ending data/time to only contain time and basing on it I tried to substract these two information but I only get an hour then but what I need is the hours to be like this:
instead
starting on 9:00
ending on 17:00
this
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
to count every hour that employee was at work. But I don't know how :(
Or is there a better way of doing that?
Assuming your table looks something like this:
Person
Start
End
09:00
10:00
11:00
12:00
13:00
14:00
15:00
Alice
08:35
16:35
1
1
1
1
1
1
1
Bob
09:35
17:35
0
1
1
1
1
1
1
Carl
10:35
18:35
0
0
1
1
1
1
1
Dan
11:35
19:35
0
0
0
1
1
1
1
Ed
12:35
20:35
0
0
0
0
1
1
1
Total present
1
2
3
4
5
5
5
You can compute the entries 0 or 1 in each cell under the times using the formula
=IF(AND((E$4>$C6);(E$4<=$D6));1;0)
In the formula, E$4 is a reference to the column header, e.g. "9:00", $C6 and $D6 are references to the start and end times of the person. They are defined using partial absolute references ($) so the same formula can be copied and pasted in all the cells.
The result will be 1 if the person was present at that time and 0 if not.
The "Total present" formulas just sum up the 1's and 0's in the column.
I am using sumproduct formula to get the first four month, then the second four month, third four month of net sales until one month before today. This is my formula that I used:
=IFERROR(SUMPRODUCT($B3:$Y3*(COLUMN($B3:$Y3)>=AGGREGATE(15,6,COLUMN($B3:$Y3)/($B3:$Y3<>0),1)+4*(COLUMNS(B3)-1))*(COLUMN($B3:$Y3)<AGGREGATE(15,6,COLUMN($B3:$Y3)/($B3:$Y3<>0),1)+4*(COLUMNS(B3)))*($B$1:$Y$1<EOMONTH(TODAY(),-1)+1)),0)
However, I need to capture the same range as I have it for the net sales as for other measures like COGS in my example. I cannot use the formula above for the other measures like COGS as sometimes they are zero in the same range as in the Net Sales.But I need to capture the zeros here as well.
Example 1
Example 2
Net Sales
Jan
Feb
Mar
Apr
May
June
July
Aug
Sept
Oct
Nov
Dec
0
0
2
3
4
5
2
3
2
3
2
4
---> 1st period= 14 2nd period= 10
COGS (follows the same date range as Net Sales)
Jan
Feb
Mar
Apr
May
June
July
Aug
Sept
Oct
Nov
Dec
0
0
0
0
0
2
1
4
2
3
2
4
---> 1st period= 2 2nd Period= 11
You can leave the entire range check logic from the first formula and change just the value range, i.e first formula in my sample:
=IFERROR(SUMPRODUCT($A3:$L3*(COLUMN($A3:$L3)>=AGGREGATE(15,6,COLUMN($A3:$L3)/($A3:$L3<>0),1)+4*(COLUMN(A3)-1))*(COLUMN($A3:$L3)<AGGREGATE(15,6,COLUMN($A3:$L3)/($A3:$L3<>0),1)+4*(COLUMN(A3)))*($A$2:$L$2<EOMONTH(TODAY(),-1)+1)),0)
second formula for COGS:
=IFERROR(SUMPRODUCT($O3:$Z3*(COLUMN($A3:$L3)>=AGGREGATE(15,6,COLUMN($A3:$L3)/($A3:$L3<>0),1)+4*(COLUMN(A3)-1))*(COLUMN($A3:$L3)<AGGREGATE(15,6,COLUMN($A3:$L3)/($A3:$L3<>0),1)+4*(COLUMN(A3)))*($A$2:$L$2<EOMONTH(TODAY(),-1)+1)),0)
i have data frame which contains fields casenumber , count and credated date .here created date is months which are in numerical i want to make dataframe as arrenge the ranges to the count acoording to createddate column
Here i used below code but i didnot match my requirement.i have data frame which contains fields casenumber , count and credated date .here created date is months which are in numerical i want to make dataframe as arrenge the ranges to the count acoording to createddate column
i have data frame as below
casenumber count CREATEDDATE
3820516 1 jan
3820547 1 jan
3820554 2 feb
3820562 1 feb
3820584 1 march
4226616 1 april
4226618 2 may
4226621 2 may
4226655 1 june
4226663 1 june
Here i used below code but i didnot match my requirement.i have data frame which contains fields casenumber , count and credated date .here created date is months which are in numerical i want to make dataframe as arrenge the ranges to the count acoording to createddate column
import pandas as pd
import numpy as np
df = pd.read_excel(r"")
bins = [0, 1 ,4,8,15, np.inf]
names = ['0-1','1-4','4-8','8-15','15+']
df1 = df.groupby(pd.cut(df['CREATEDDATE'],bins,labels=names))['casenumber'].size().reset_index(name='No_of_times_statuschanged')
CREATEDDATE No_of_times_statuschanged
0 0-1 2092
1 1-4 9062
2 4-8 12578
3 8-15 3858
4 15+ 0
I got the above data as out put but my expected should be range for month on month based on the cases per month .
expected output should be like
CREATEDDATE jan feb march april may june
0-1 1 2 3 4 5 6
1-4 3 0 6 7 8 9
4-8 4 6 3 0 9 2
8-15 0 3 4 5 8 9
I got the above data as out put but my expected should be range for month on month based on the cases per month .
expected output should be like
Use crosstab with change CREATEDDATE to count for pd.cut and change order of column by subset by list of columns names:
#add another months if necessary
months = ["jan", "feb", "march", "april", "may", "june"]
bins = [0, 1 ,4,8,15, np.inf]
names = ['0-1','1-4','4-8','8-15','15+']
df1 = pd.crosstab(pd.cut(df['count'],bins,labels=names), df['CREATEDDATE'])[months]
print (df1)
CREATEDDATE jan feb march april may june
count
0-1 2 1 1 1 0 2
1-4 0 1 0 0 2 0
Another idea is use ordered categoricals:
df1 = pd.crosstab(pd.cut(df['count'],bins,labels=names),
pd.Categorical(df['CREATEDDATE'], ordered=True, categories=months))
print (df1)
col_0 jan feb march april may june
count
0-1 2 1 1 1 0 2
1-4 0 1 0 0 2 0
I need a formula that would look in columns Jan, Feb & Mar to see if of the three months two months contained a 0, then in column 5 it would return the word win.
Store Jan Feb Mar Outcome
101 0
102 50 0
103 0 100
104 0 0 Win
105 0 0 Win
This should do the trick. (Placed in E2 and copied down)
=IF(COUNTIF(B2:D2,0)=2,"win","")
It counts how many zeroes are in columns B-D and if 2 then returns win