I have a data set of client sales over time. Few clients have the same date range, but I'm trying to create a chart that shows client-group growth over time.
My current thought is to number the months (1,2,3, etc) since the client began the program.
However, to do this I need a formula I can apply to a list several thousand clients long (and 10-15 dates per client) that will reset for each new client. Dates are in YYYY-MM format.
Any advice on how to create this? I'm stumped and it's 2AM. Also very open to alternatives.
Not a whole lot to go on here, but this sounds like it could be done in a pivot table. If you are trying to avoid a pivot table, you can try formulas countif or sumif to capture the client and count or sum whatever you are trying to capture. Your date, if it is in a text format, should be converted to an excel date, =date(value(left(G5,4)),value(right(G5,2)),1).
Related
I work for an organization and I am working on a way to better organize our part numbers that have expiration dates. I've started off by making an Excel sheet that has the part number multiple times based on the expiration date and then had the matching quantities of that expiration date. What im trying to do is what you always do in life, if something is going to go bad use up the one that will expire first. But now trying to do this in an excel table automatically. This is my Ex: my master log where they will put in the Part#, expiration date, and quantity, this is where most info will be pulled from.
I am now on to taking away our companies forecasted usage of these parts away from these quantities to show an overall usage over the months and pairing the intersecting expiration dates. I’ve got the Usage by using a pivot table to total these part numbers quantities. And I’ve made a chart mapping the overall usage to part quantity forecast with it being flagged if the expiration date interferes with the actual date. This is the forcasting for what we plan to use of each part #
This is me subtracting the usage number from the inventory of those part numbers and it being flagged when it expires.
=IF((IF((VLOOKUP($F60,Expires!$1:$1048576, 10, FALSE))<Sheet1!G$58, "Bad", "Good"))="good", T33, "Expired")
I used this function, my vlookup pulling from my first sheet and pulling the part numbers expiration date and if it is <the date up top (9/1,10/1 etc.) then it will be flagged as expired and wont even show the usage. T33 is simply pulling the fromual from another table which is just quantity- usage. Please lmk if this looks right my vlookup turns out pulls the latest expiration date from the multiple part #s.
But that is with total quantities, not separated based on the part number expiration dates. What I am wondering is how can I make a table like this but subtracts the usage from quantity of the part number that will expire first? Then after that quantity hits zero it takes away the usage from the next one due to expire? But also I want the Numbers to be able to auto populate from the sheet where the user enters the data (master log).
So this is what it will be doing and will look like the table above multiple of the same part number. Whats happening now
But needs to look like this Final table and add the part number to the list and quantity as they are entered in the master log. I was trying to do a Vlookup(MIN and take the part number from the other table based on the lowest expiration date first but I don’t think excel is capable of that, I’m not sure here.
Please help, thank you!
How do I filter data for specific individual dates in a PivotTable? The input is changed on a weekly basis and therefore the specific desired dates will change every week. I have data for every business day. And I want to retrieve data from the most recent business day, 5 business days before that, 30 business days before that and 90 business days before that. How do I go about this?
Sound like you want an 'Aging Report' If you Google on 'Excel Aging Report', you should be able to find something. use of TODAY() in formula is part of answer. I also did something similar here. It didn't involve Pivot tables.. But it should help you on your way.
You might want to check out the code in my answer at Filtering pivot table with vba
That code lets you programatically filter a Pivot RowField or ColumnField by specifying an interval type (e.g. days, weeks, months, quarters, years) as well as an interval count (e.g. 7, -7). It has an optional argument vRelativeTo field which counts back/foward from the youngest/oldest item depending on whether lNumber is positive/negative.
It leverages off the inbuilt DateFilters functionality, and as such does not
work on RowFields.
I'm trying to make a spreadsheet that I can easily take an export from Mint.com's CSV outputs and get them into my Excel budget.
To do so, I need a way to populate each field within a date range. I'd like to avoid macros if possible (I don't know how to make them).
I'm happy to share my finished .xls with the public!
I've imported Mint.com's data in a manner that has column S for the date (3/30), column V with the cash value that I need to add up, and column X for the spending category.
I need to tally each month's spending ($V) by category (column X).
Through research, I devised this (for my January "Gas & Fuel" spending):
=SUMIFS($W$2:$W$900, $T$2:$T$900, ">="&W$12, $T$2:$T$900, "<"&(EOMONTH(D$1,0)+1), $Y$2:$Y$900, "="&$B5)
However, it required that I reformat my Dates, which is an issue because this would become specific to each year and I would need to change the fields every year. I'd like the document to be usable without adjustment using my spending data from the past and future.
Is there a way to take the year out of the equation? To make that formula above work, I renamed my column from "January" to "1/14".
Here is what the spreadsheet looks like
Thanks!
A pivot table would work best with that data.
Initial set up would show each day separately, but by using Grouping
(here) ^^^
you can group the data by month/day/year/however
I have to report basically the same information from inspections to two different clients, both of whom have provided me with an Excel spreadsheet in their own preferred format, and password protected. I have put the two sheets into my own workbook, and have managed to get 'almost' all the data on both sheets to populate from my own data. Where I am stuck though is on the time logs.
Client 'A' has each time and date in a single column, in the format "12.29.12 14:30". Client 'B' has two columns, date as "12/29/12" in the first, and time as "1430" in the second.
I'm trying to avoid having to type all the same dates and times twice - it can be several dozen lines - both to save effort and to avoid errors. What I really need to do is either concatenate the date and time from client 'B's report and put it into client 'A's, or split the date and time up in 'A's so I can put it ito 'B's. I've tried several approaches, but just end up with error codes or meaningless numbers.
Can anyone point me in the right direction?
Thanks,
Richard
Never mind... the very next thing I tried worked :-)
To anyone else reading this, the trick is not to concatentate the date and time values, but to add them together.
Richard
As you later pointed out in your own question, in order to manipulate date/times in Excel, you should add instead of concatenating.
The reason for this is that Excel stores all date/times as a number representing the number of days since January 1, 1900*. This number is stored as a 8-byte double.
Use Excel number formats to display the date/time format that you desire.
If you find in a worksheet that some cell's dates are in fact stored as text, use the DATEVALUE function.
*By default, Excel 2010 for Windows uses the number of days since 1900. There is an option to use the number of days since 1904 for compatibility with other versions.
This is a multi-tiered project. Let me give a quick overview. I have attendance data, card/ timestamp punches. I would like to have a pivot table with slicers in Excel. Ideally you'd be able to choose a department / last name / associate number. And also a period of time. Ideally this would be a table with the company period/week. And maybe default to last weeks.
I can get at timecard data in two ways:
(1) generate a CSV that automatically performs the timecard math, to figure out how many hours someone worked and it is smart enough to understand 3rd shift workers. The format of that CSV is:
Last Name, First Name, Personnel Type, Associate Number, Facility, Department, TimeIn, TimeOut, Total Hours
The problem with this method is that I would have to manually append the information to the CSV tables. Or come up with some autoIT script.
(2) Get at the raw data via sql/odbc. This way the math is not done. It is just all of the associates timestamps. I would have to figure up the daily hours myself and figure out a 3rd shift formula too. It is not a set schedule, many people swing shifts and others get called in a lot.
Lastly, I would like to be able to filter the dates by using our company fiscal calendar. I have a spreadsheet that goes from 2000 to 2093. With everyday listed and it's corresponding year/period/week.
Example period info spreadsheet:
date Year Period week WeekTotal Period Total
12/3/2007 2008 1 1 2008.1.1 2008.1
12/4/2007 2008 1 1 2008.1.1 2008.1
I know there is a lot going on here, but what would be the best way to approach this project?
First I have not been able to post any script however the last I tried it I used two options 1. Was a php conversion where the time was numbers ( which makes it easier for calculations)
2. Was in the tables where I deliberately entered the values places the time in different columns or fields for hours, mins, and seconds this meant that while the input is eased I still have to calculate the output in php especially for totals, averages and differences.
Hope it helps a bit