I have four sets of data representing a softball schedule. Looks like this:
Day Team 1 Team 2
M A Team B Team
T C Team D Team
....
but four times over. I want to be able to change the schedule and have it automatically tally how many times a team plays on a given day. Ideas?
You would us something like this:
=COUNTIF(2:2,"A Team")
Edit:
You can use a SUMPRODUCT() Function with math operands * and +:
=SUMPRODUCT(($A$2:$A$43=H$1)*(($B$2:$B$43=$G2)+($C$2:$C$43=$G2)))
So how it works:
Since TRUE/FALSE is a Boolean and it can be reduced to 1/0 respectively. Using the * and + operands is like AND and OR respectively.
The SUMPRODUCT iterates through the range and test each criterion inside the () So it first test whether the cell in column A is equal to H1, if so it returns a 1, or a 0 if not. the next part sets up the OR if in the same row the team name is found it also returns a 1. 1 * 1 = 1. SUMPRODUCT keeps track of all the 1 and 0 and adds them together, so you get the count.
If there are other columns that have the team names just add those columns with the + area.
Ok, so let's start with making your table a real table via "Start > format as table" and call your table "data". Then you have three columns called data[Day], data[Team 1] and data[Team 2]. For instance this:
Day Team 1 Team 2
Monday A Team B team
Tuesday C Team D Team
Wednesday C Team A Team
Monday B Team C Team
Now comes the ugly part. You need a matrix of 7*10 (days * teams)
(Cell E1) Team 1 Team 2 Team 3 Team 4 ...
Monday *1
Tuesday
Wednesday
...
Formula *1
=SUMPRODUCT((data[Day]=$E2)*((data[Team 1]=F$1)+(data[Team 2]=F$1)))
Now drag down that formula till Sunday and then copy it to the other teams (when I tried dragging it to the other teams, Excel messed up the column names!).
This will automatically fill the matrix and tell you which team plays how often on a specific day.
What does it do? Basically SUMPRODUCT can not only build products, but it can also evaluate boolean conditions. So if on Monday, Team A plays, then the first column would return (for Team A / Monday):
1*(1+0)
SUMPRODUCT does that for each line in the matrix and then sums up the result.
Related
I searched a lot, but didn't find an answer to the following question:
Financial data often come as daily data but with missing dates (weekends, banking holidays ...). I would like to have those data really on a daily basis with missing values, where originally the dates were missing.
So far I did this in liberoffice-calc half-manually, which takes a lot of time. I didn't find ways to really automate this, as there is no fixed rule, which dates are missing.
Example:
I have:
21/12/18 1
27/12/18 2
28/12/18 3
02/01/19 4
I want:
21/12/18 1
22/12/18
23/12/18
24/12/18
25/12/18
26/12/18
27/12/18 2
28/12/18 3
29/12/18
30/12/18
31/12/18
01/01/19
02/01/19 4
I'm not familiar with liberoffice-calc. In Excel or Google Sheets, I would use a lookup table.
In one tab of the spreadsheet, I was enter the dates I want in column A. In another tab, I would place the actual data I have. Then, in column B of the first tab, I would lookup the value for that day from the data on the second tab.
Assuming 1 is in B2, put a start date in say D2 and in E2:
=IFERROR(INDEX(B:B,MATCH(D2,A:A,0)),"")
then copy both down to suit.
I want to calculate weekly returns of a mutual fund from a time series of daily prices. My data looks like this:
A B C D E
DATE WEEK W.DAY MF.PRICE WEEKLY RETURN
02/01/12 1 1 2,7587
03/01/12 1 2 2,7667
04/01/12 1 3 2,7892
05/01/12 1 4 2,7666
06/01/12 1 5 2,7391 -0,007
09/01/12 2 1 2,7288
10/01/12 2 2 2,6707
11/01/12 2 3 2,7044
12/01/12 2 4 2,7183
13/01/12 2 5 2,7619 0,012
16/01/12 3 1 2,7470
17/01/12 3 2 2,7878
18/01/12 3 3 2,8156
19/01/12 3 4 2,8310
20/01/12 3 5 2,8760 0,047
The date is (dd/mm/yy) format and "," is decimal separator. This would be done by using this formula: (Price for last weekday - Price for first weekday)/(Price for first weekday). For example the return for the first week is (2,7391 - 2,7587)/2,7587 = -0,007 and for the second is (2,7619 - 2,7288)/2,7288 = 0,012.
The problem is that the list goes on for a year, and some weeks have less than five working days due to holidays or other reasons. So I can't simply copy and paste the formula above. I added the extra two columns for week number and week day using WEEKNUM and WEEKDAY functions, thought it might help. I want to automate this with a formula or using VBA and hoping to get a table like this:
WEEK RETURN
1 -0,007
2 0,012
3 0,047
.
.
.
As I said some weeks have less than five weekdays, some start with weekday 2 or end with weekday 3 etc. due to holidays or other reasons. So I'm thinking of a way to tell excel to "find the prices that correspond to the max and min weekday of each week and apply the formula (Price for last weekday - Price for first weekday)/(Price for first weekday)".
Sorry for the long post, I tried to be be as clear as possible, I would appreciate any help! (I have 5 separate worksheets for consecutive years, each with daily prices of 20 mutual funds)
To do it in one formula:
=(INDEX(D:D,AGGREGATE(15,6,ROW($D$2:$D$16)/(($C$2:$C$16=AGGREGATE(14,6,$C$2:$C$16/($B$2:$B$16=G2),1))*($B$2:$B$16=G2)),1))-INDEX(D:D,MATCH(G2,B:B,0)))/INDEX(D:D,MATCH(G2,B:B,0))
You may need to change all the , to ; per your local settings.
I would solve it using some lookup formulas to get the values for each week and then do a simple calculation for each week.
Resulting table:
H I J K L M
first last first val last val return
1 02.01.2012 06.01.2012 2,7587 2,7391 -0,007
2 09.01.2012 13.01.2012 2,7288 2,7619 0,012
3 16.01.2012 20.01.2012 2,747 2,876 0,047
Formula in column I:
=MINIFS($A:$A;$B:$B;$H2)
Fomula in column J:
=MAXIFS($A:$A;$B:$B;$H2)
Formula in column K:
=VLOOKUP($I2;$A:$D;4;FALSE)
Formula in column L:
=VLOOKUP($J2;$A:$D;4;FALSE)
Formula in column M:
=(L2-K2)/K2
I have a problem regarding making a data table that incorporates data of two other data tables, depending on what the input is in the input sheet.
These are my sheets:
sheet 1) Data table 1
sheet 2) Data table 2
sheet 3) Input sheet:
In this sheet one fills in the origin, destination, and month.
sheet 4) Output sheet:
Row(s) with characteristics that are a combination of the data in data table 1 and data table 2: 1 column for each characteristic in the row:
(General; Month; Origin; feature 1; feature 2; month max; month min; Transit point; feature 1; feature 2; feature 3; month max; month min; Destination; feature 1; feature 2; month max; month min;) => feature 3 of origin and destination don't have to be incorporated in the output!
Depending on the month, origin and destination filled in in the input sheet; the output has to list all the possible rows (routes) with that origin and that destination and the temperatures in that month at the origin, transit point and destination.
I have tried VLOOKUP(MATCH), but that only helps for 1 row. not if I want to list all possible rows..
I don't think this problem is that difficult, but I am really a rookie in Excel. Maybe it could work with a simple macro..
I'm a little unclear about some of your question, but perhaps you could adapt this solution to work for you?
http://thinketg.com/how-to-return-multiple-match-values-in-excel-using-index-match-or-vlookup/
I think this is what you want.
ColA ColB
a 1
b 2
c 3
a 4
b 5
c 6
a 7
b 8
9
10
11
7
8
9
9
16
17
18
19
20
In Cell E1, enter c (this is the value you are looking up).
In Cell F1, enter the function below and hit Ctrl+Shift+Enter.
=IF(ROWS(B$1:B1)<=COUNTIF($A$1:$A$20,$E$1),INDEX($B$1:$B$20,SMALL(IF($A$1:$A$20=$E$1,ROW($A$1:$A$20)-ROW($E$1)+1),ROWS(B$1:B1))),"")
I have a data set where you have a Document Property that Selects "items", each "item" has a particular "usage days". I want to calculate an output of "Moving Average" for 1 or more selected items. the data for the moving average lives under a column named "usage days".
How do I calculate this taking into account the "selected date of my choice" and the rolling average number of days of my choice.
Do you have particular ideas of how I can perform the calculation i.e. in a calculated column or a text field?
Car/ Trip / Start Date/ End Date / Days on trip
1 AB123 / 2 / 6/07/2013
1 AB234 / 29/07/2013 / 6/09/2013 / 42
1 AB345 /6/09/2013 /28/09/2013 /22
1 AB456 /29/09/2013 /21/10/2013 /23
2 AB567 / 26/10/2013 / 12/11/2013 / 22
2 AB678 /12/11/2013 /8/12/2013 /26
[The rows above have an example of the problem (sorry couldn't paste an image because im new), I want to calculate the %usage of the Car and or cars for a selected range of time e.g (Select date range JUlY to AUGUST then (#of days on trip for car 1and 2)/#on days in that period)/2*100]
As phiver said, it is still difficult to see what you expect as a result... but I think I have something that might work. First, I slightly altered the dataset you provided, like so:
car trip startDate endDate daysOnTrip
1 AB123 7/6/2013 7/29/2013 23
1 AB234 7/29/2013 9/6/2013 42
1 AB345 9/6/2013 9/28/2013 22
1 AB456 9/29/2013 10/21/2013 23
2 AB567 10/26/2013 11/12/2013 22
2 AB678 11/12/2013 12/8/2013 26
I then added 2 document properties, "DateRangeFirst" and "DateRangeLast", to allow the user to select beginning and ending dates. Next I made input box property controls for each of the aforementioned document properties in a text area so the user can alter the date range. I then added a datatable visualization with a "Limit data using expression:" of "[startDate] >= Date(${DateRangeFirst}) and [endDate]<= Date(${DateRangeLast})" so we could see the trips selected. Finally, to get the average you appear to be looking for, a barchart set to % of total (daysOnTrip) / car with the same data limiting expression as above. The below screenshot should have everything you need to reproduce my results. I hope this gives you what you need.
NOTE: With this method if you select a date in the middle of a trip, an entire row and all of the days on that trip will be ignored.
I have to copy data from multiple excel sheets to the single SQL table.
Excel inputs:
Sheet1's columns: fname a, b. lname c, d. (2 rows)
Sheet2's columns: city boston, austin, state ma, tx. (2 rows)
My output (tMSSqlOutpout) has 4 rows instead of 2.
a c boston ma, a c austin tx, b d boston ma, b d austin tx.
Desired output: a c boston ma, b d austin tx. (2 rows only)
How do I manage this?
As per the comments, you don't have a natural key to join the two data sets. Instead you could generate a sequence for each data set that would increment equally for both data sets and would equate to being your row number on each data set.
First of all, this should set alarm bells ringing about the state of your data and how you can be sure that row n in one data set definitely corresponds to row n in another data set. It smacks of something being badly normalised out without proper keys being added and it can be very dangerous to assume that the resulting data set from this is going to be accurate.
If you absolutely must do this, however, then you should assign a Numeric.sequence to each of your data sets. You can do this in a tMap that precedes your joining tMap:
Notice the "s1" parameter to the Numeric.sequence. If you reuse this elsewhere then it will increment this one rather than starting from 1 so typically you would want to choose a unique name for each sequence you have in your job (although there are obviously occasions where incrementing a previously defined sequence is what you desire).
Once you have defined a unique sequence with the same starting numbers (the second parameter) and the same increment numbers (the third parameter) then you should be able to create a join on these instances: