I got a quick question I got a column like this
the players name and the percentage of matches won
Rank
Country
Name
Matches Won %
1 ESP ESP Rafael Nadal 89.06%
2 SRB SRB Novak Djokovic 83.82%
3 SUI SUI Roger Federer 83.61%
4 RUS RUS Daniil Medvedev 73.75%
5 AUT AUT Dominic Thiem 72.73%
6 GRE GRE Stefanos Tsitsipas 67.95%
7 JPN JPN Kei Nishikori 67.44%
and I got another data like this ACES PERCENTAGE
Rank
Country
Name
Ace %
1 USA USA John Isner 26.97%
2 CRO CRO Ivo Karlovic 25.47%
3 USA USA Reilly Opelka 24.81%
4 CAN CAN Milos Raonic 24.63%
5 USA USA Sam Querrey 20.75%
6 AUS AUS Nick Kyrgios 20.73%
7 RSA RSA Kevin Anderson 17.82%
8 KAZ KAZ Alexander Bublik 17.06%
9 FRA FRA Jo Wilfried Tsonga 14.29%
---------------------------------------
85 ESP ESP RAFAEL NADAL 6.85%
My question is can I make my two tables align so for example I want to have
my data based on matches won
So I have for example
Rank Country Name Matches% Aces %
1 ESP RAFAEL NADAL 89.06% 6.85%
Like this for all the player
I agree with the comment above that it would be easiest to import both and to then use XLOOKUP() to add the Aces % column to the first set of data. If you import the first data set to Sheet1 and the second data set to Sheet2 and both have the rank in Column A , your XLOOKUP() in Sheet 1 Column E would look something like:
XLOOKUP(A2, Sheet2!A:A, Sheet2!D:D)
I'm looking for help in getting a count based on criteria in 3 other columns. I started to do a pivot table, but I cannot see how to add an IF statement to the distinct count there.
I need a count of each customer within the customer type, by each supplier, if the Cases > 0 for that year.
Here's a sample data set:
Supplier
Customer
Type
2019 Cases
2020 Cases
ABC
Al's Store
Package
3
2
ABC
Ben's
Package
0
6
ABC
Kroger
Grocery
2
1
ABC
Publix
Grocery
1
0
XYZ
Al's Store
Package
0
5
XYZ
Ben's
Package
4
0
XYZ
Kroger
Grocery
0
1
XYZ
Publix
Grocery
3
7
I need a result like this. My actual report will have each supplier on their own tab.
Supplier
Type
2019 Customer Count
2020 Customer Count
My Reason
ABC
Package
1
2
Al's bought in both years, but Ben's only in 2020
ABC
Grocery
2
1
Kroger bought in both years, but Publix only in 2019
XYZ
Package
1
1
Al only bought in 2020, Ben only bought in 2019
XYZ
Grocery
1
2
Kroger only bought in 2020
Thanks!
I am trying to generate SQL output similar to how Excel does the merge cells.
Sample output from SQL select statement
Name
Country
State
years
lived
Alice
USA
CA
2
2
Alice
USA
NYC
1
1
Alice
USA
MI
5
5
Bob
USA
CA
1
1
Bob
USA
NYC
8
8
Bob
USA
IL
4
4
I am trying to convert the output in below format using SQL query, so I can directly export to Excel, instead of modifying in excel separately.
Name
Country
State
years
lived
CA
2
NYC
1
Alice
USA
MI
5
8
CA
1
NYC
8
Bob
USA
IL
4
13
Any help is appreciated.
I have a data file that has 4 data sections. Header data, Summary data, Detail data and Footer data. Each section has a fixed number of columns.Each section is divided by two rows that just have a single "#" as the row content.But different sections have different of columns. Is there a way I can avoid creating new files and just use spark tsv(tab seperated foramt) module or any other module to read the file into 4 datasets directly.If I read the file directly then I am loosing the extra columns in the next data section. It only reads the from the file only those columns as the first row of the file.
#deptno dname location
10 Accounting New York
20 Research Dallas
30 Sales Chicago
40 Operations Boston
#
#
#grade losal hisal
1 700.00 1200.00
2 1201.00 1400.00
4 2001.00 3000.00
5 3001.00 99999.00
3 1401.00 2000.00
#
#
#ENAME DNAME JOB EMPNO HIREDATE LOC
ADAMS RESEARCH CLERK 7876 23-MAY-87 DALLAS
ALLEN SALES SALESMAN 7499 20-FEB-81 CHICAGO
BLAKE SALES MANAGER 7698 01-MAY-81 CHICAGO
CLARK ACCOUNTING MANAGER 7782 09-JUN-81 NEW YORK
FORD RESEARCH ANALYST 7902 03-DEC-81 DALLAS
JAMES SALES CLERK 7900 03-DEC-81 CHICAGO
JONES RESEARCH MANAGER 7566 02-APR-81 DALLAS
#
#
#Name Age Address
Paul 23 1115 W Franklin
Bessy the Cow 5 Big Farm Way
Zeke 45 W Main St
Output:
Dataset d1 :
#deptno dname location
10 Accounting New York
20 Research Dallas
30 Sales Chicago
40 Operations Boston
Dataset d2 :
#grade losal hisal
1 700.00 1200.00
2 1201.00 1400.00
4 2001.00 3000.00
5 3001.00 99999.00
3 1401.00 2000.00
Dataset d3 :
#ENAME DNAME JOB EMPNO HIREDATE LOC
ADAMS RESEARCH CLERK 7876 23-MAY-87 DALLAS
ALLEN SALES SALESMAN 7499 20-FEB-81 CHICAGO
BLAKE SALES MANAGER 7698 01-MAY-81 CHICAGO
CLARK ACCOUNTING MANAGER 7782 09-JUN-81 NEW YORK
FORD RESEARCH ANALYST 7902 03-DEC-81 DALLAS
JAMES SALES CLERK 7900 03-DEC-81 CHICAGO
JONES RESEARCH MANAGER 7566 02-APR-81 DALLAS
Dataset d4 :
#Name Age Address
Paul23 1115 W Franklin
Bessy the Cow 5 Big Farm Way
Zeke 45 W Main St
I have the same data from different sources, both incomplete, but combined they may be less incomplete..
I have 2 files;
File #1 has; ID, Zipcode, YoB, Gender
File #2 has: Email, ID, Zipcode, Yob, Gender
The ID's in both files are the same, but #1 has some ID's that #2 hasn't, and the other way aroud.
The Email is connected to the ID. ID's are linked to the zipcode, YoB and gender. In both files are some of that info missing. E.g. File #1 and #2 both have ID 1234, only in #1 it only has a postal code, YoB but no Gender. And #2 has the zipcode and gender but no YoB.
I want to have all the information in one file;
Email, ID, YoB, Zipcode, Gender
I tried to sort both ID's alphabetically and put them next to each other and search for duplicates, but because #1 has some ID's that #2 doesnt I'm not able to combine them...
What's the best way to fix this?
By the way its about 12000 ID's from #1 and 9500 from #2
If you want a list of all the unique IDs then you could create a new sheet, copy both lots of IDs into the same column and then use Advanced Filter to copy Unique records only to another column.
Then use that column to do vlookups from the two files in the columns you require.
(I'm presuming this is a one-time job and you don't mind a bit of manual-ness)...
If on your first Sheet ("Sheet1") you have:
ID F_Name S_Name Age Favourite Cheese
1 Bob Smith 25 Brie
2 Fred Jones 29 Cheddar
3 Jeff Brown 18 Edam
4 Alice Smith 39 Mozzarella
5 Mark Jones 65 Cheddar
7 Sarah Smith 29 Mozzarella
8 Nick Jones 40 Brie
10 Betty Thompson 34 Edam
and on your second Sheet ("Sheet2") you have:
ID F_Name S_Name Age
1 Bob Smith 25
3 Jeff Brown 18
4 Alice Smith 39
5 Mark Jones 65
6 Frank Brown 44
7 Sarah Smith 29
9 Tom Brown 28
10 Betty Thompson 34
Then if you're combining them on a 3rd Sheet you need to do something like:
=IFERROR(VLOOKUP($A2,Sheet1!$A$1:$E$9,COLUMN(),FALSE),VLOOKUP($A2,Sheet2!$A$1:$E$9,COLUMN(),FALSE))
If you're trying to get to:
ID F_Name S_Name Age Favourite Cheese
1 Bob Smith 25 Brie
2 Fred Jones 29 Cheddar
3 Jeff Brown 18 Edam
4 Alice Smith 39 Mozzarella
5 Mark Jones 65 Cheddar
6 Frank Brown 44 0
7 Sarah Smith 29 Mozzarella
8 Nick Jones 40 Brie
9 Tom Brown 28 0
10 Betty Thompson 34 Edam