I have an excel sheet which shows the names of 1,900 borrowers. The sheet is not sorted out in alphabetical order (and it does not need to be sorted in alphabetical order). What I am trying to perform is that I want to compare the two column and see if they match. If the two columns do not match I want that result to be shown either in separate column or those names of the countries and responsible person to be highlighted.
For example, the below screen shot shows that there are various countries in the list and there is various responsible person associated with each country. The idea is to identify the countries whose responsible person are not the same. So in this example countries USA & AUSTRALIA should not show up because they have the same responsible person but all other countries and responsible person should be identified. I appreciate and thanks for all the help.
You can solve this by creating a pivot table of your data. Insert pivot table and then add Country name and count of responsible person as grouping (assuming no duplicates) then anything with a count greater than 2 is an issue.
Related
I am trying to create a sheet to determine the amount of overlapping hours for employees.
I have one table with timeclock data for the Employees.
Table 1
And another with timeclock data for their Support Staff.
Table 2
This is the desired output. Each row from table A has all the date matches from table B. From here I would compute the number of overlapping hours in the final column and then roll that up into another sheet.
Table 3, Desired Output
(apologies for image links, I can't post inline images yet)
Sample sheet here Please let me know if you have any ideas for me!
I know its a combination of QUERY, ARRAYFORMULA, FILTER and more but I just can't find the right combo.
Here's a way of doing this type of join using only built-in functions:
=arrayformula(lambda(employee,support,
lambda(datecomp,
lambda(rows,
{vlookup(index(rows,,1),{row(employee),employee},sequence(1,columns(employee),2),false),
vlookup(index(rows,,2),{row(support),support},sequence(1,columns(support),2),false)})(
split(filter(datecomp,datecomp<>""),"|")))(
flatten(if(index(employee,,1)=transpose(index(support,,1)),row(employee)&"|"&transpose(row(support)),))))(
Employee!A1:D6,Support!A1:E5))
There's a lot going on here, but the basic idea is that we are comparing the date columns of each table against each other in a 2D IF array, and where the dates match we are obtaining the row index of each table. After some manipulations we can use these row indexes on each table in two side-by-side VLOOKUPs to obtain the joined table.
DMac,
I wrote myself a QUERY replacement custom function that uses real SQL select syntax.
For your data it looks something like (You need a tab called employee and a tab called support for this to work) :
=gsSQL("select * from employee full join support on employee.date = support.date")
See my test worksheet: (line 164 on gsSqlTest sheet)
https://docs.google.com/spreadsheets/d/1Zmyk7a7u0xvICrxen-c0CdpssrLTkHwYx6XL00Tb1ws/edit?usp=sharing
You need to add one Apps Script file to your sheet to give you the custom function:
https://github.com/demmings/gsSQL/blob/main/dist/gssql.js
For more help using more features see:
https://github.com/demmings/gsSQL
For example, changing the column titles, it would be like:
select employee.name as name .... (rest of your select).
I have two tables, one containing the sales history by each person and another one a summary of the sales history.
By using UNIQUE, I can get a unique list of people from the sales history. I would like to also be able to create a filter and sort the summary table by person or by total items sold. However, with using UNIQUE, creating a filter would not work.
Is there a workaround for this?
You could use a simple query formula.
=QUERY(U2:V10,"select U, sum(V) group by U label sum(V) 'Total Items sold' ")
(You can adjust ranges to your needs)
Please read more about QUERY
I'd like to query a couple of tables to come up with a total sum of the value of a set of items, but with the price being dependent on data in another cell range, then grouping it based on category.
For example, say I have a data table containing name, category, and price of some grocery items. Another table I store my current inventory of groceries. I would like to calculate the value of, say, all my fruit.
Here is an editable example:
https://docs.google.com/spreadsheets/d/1y2fLgwrsMr-dWojy3uYZ1Qs2U01AP3RlT_PI2txwZRE/edit?usp=sharing
Not sure the best way to approach this?
Thanks for any guidance!
Solution
Use VLOOKUP for searching the right item of your inventory and then multiply it with the value of the product you made the search with. For more info about VLOOKUP check this documentation.
=VLOOKUP(E3,$A$3:$C$11,3,FALSE)*F3
With these values, create a column next to Quantity indicating the total price for each product (as show in the picture below). Then, create another column with the Type of each item performing a similar VLOOKUP formula:
=VLOOKUP(E3,$A$3:$C$11,2,FALSE)
Finally, use these two columns as input ranges to apply a SUMIF formula for adding up the items of each group:
=SUMIF(H3:H6,"Fruit",G3:G6)
For more info about SUMIF check this documentation.
I hope this has helped you. Let me know if you need anything else or if you did not understood something. :)
Imagine a list on the left filled with employees going down the spreadsheet and headers across the top based categorized on infractions that an employee might violate. this sheet is connected to another sheet which adds a one every time a form is submitted against the employee adding up for the quarter. So employee john smith has across his row would show a 0 if he never committed this infraction and add a 1 to the column each time he did so a row might look like this. John Smith 0 4 5 0 1
The goal is to show the experts name and infraction with how many times this infraction took place removing the infractions that he did not commit so ideally it would look like John Smith 4 5 1 and the header of each number would show what he did.
The goal is to make it much easier to see who did what essentially. There will be over 100 employees and alot of 0's so optically it would look better to distill in order to quickly identify who did what and how many times.
Any ideas?
V lookups and important ranges based on if this is greater than 0 is tedious and does not exactly pull what we want. Essentially omitting the 0s and just showing what an employee has done rather than what they have not done is the goal. All index and match formulas do not seem to specifically answer this problem
simple Index V lookups and matching formulas have been tried
Not able to reflect all three variables (employee/frequency/infraction) while not showing on a master list the people who did not commit the offense
There's a few ways you could set this up. I would set this up so it
Column A = Employee
Column B = Infraction
Column C = 1
Column D = Date
That way you can do a pivot summary and have the employees, with their infractions below their name and the months/years they occurred. Also you can adjust this table as necessary, such as filter by the employee name or by date or by infraction.
The added benefit is you could create a chart with all of these as filters, like cutoff a date range or pick an employee or infraction and it can show a bar graph of all the infractions by month or something like that.
I would agree that listing your data of infractions line by line (as they happen) and using a pivot table would probably be the easiest.
You could also use the AGGREGATE function to pull from a large database as well. This way you could type in an employees name, and a list of all infractions would pop up next to the name (or wherever you would want it) with as much detail as you would like. This way is more complex, but using both a pivot table and the AGGREGATE function might get you the best of both worlds (you could searching infraction types, dates, employees, employee types, and get all the details in the world if wanted).
Hope this helps!
JW
I have three columns in my table product name, product color, and product brand. The table is pretty much static, I just import the data once and it does not get modified. An example would be small car, red, motor co. I want to be able to search for and get a result for "car red".
If I use
name_or_color_or_brand_contains
I do not get any results.
Is there a way to collapse the three columns during the search or is creating a column that has the info of the three column a possible solution seeing that my data does not change that much.
Thanks!