I have two tables with the same data but in different rows, I want to sort them in front of each other. each duplicate row in front of its duplicate.
attached photo
In a new worksheet, copy the code data from one table and append to that a copy of the code data from the other. Apply Remove Duplicates to that column and sort ascending.
Now use that sheet to look up (VLOOKUP Description, Uom and Unit Price from one of your tables into three separate columns (say 2,3,4) and lookup up same fields from the other of your tables into a further three columns (say 5,6,7).
Wrap both formulae in IFERROR(....,"") to reduce noise.
I take it any numbering will be applied independently in a new sheet (ie No. is not required to be copied to there).
Incidentally you have a lot of unconventional hyphens (eg L-80 is never normally written other than as L80), m for OCTG as a unit of measure leads to many problems and with competent staff a structured catalogue could be advisable for a high value of stock and long-term storage.
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Looking to use VBA to compare two tables, with three columns each against each other. Beginner here and very lost.
They may have a different amount of entries each, and there may be some in table A that aren't in table B, and vice versa
Some of the individual Columns may match but trying to work out how to make sure all three columns are compared as one against all three columns in the other table
For example
xyz123 55.50 12/07/21 if compared with XYZ123 54.55 12/07/21 will show up as not a match, because the middle column is a different number.
Have attached a picture below. For the most part, and unlike the photo, each table will be in a completely random order, and its unlikely that there will be the same entry in table 1, row 1, as table 2 row 1
Ideally, I'm trying to create two new table to the right of the original tables, the first one being the entries table 1 has, that table 2 does not have. The second one being the entries table 2 has, that table 1 does not have.
Have attached an example below of the end result I'm looking for out of this. The four rows on the left are entries that the first table has but the second table doesn't, and the rows to the right are all entries that the second table has, but the first table does not.
I've tried to search on this but haven't found something that matches what I've got, and I'm struggling to adapt someone else's code to my specific problem
Any help on this would be greatly appreciated
Maybe not a direct answer to your problem but is this data also in a database somewhere or are you familiar with Ms Access? As you could open the tables in Access, and it is pretty easy to do this kind of thing with data bases.
If not, then yes, it is do able with VBA. Numerous ways of doing it.
The simplest is to scroll through one table a line at a time and compare it with every row in the other table and match or not. This will work with small tables and be easy and quick but for large data tables it would be wasteful and may take a long time to complete.
I have 2 big tables (1 has 690K Rows, 2nd one has 890K rows).
They have the same format and columns:
Username - Points - Bonuses - COLUMN D... COLUMN - K.
Lets say in the first table i have the "Original" usernames and in the 2nd table i have "New" usernames + Some of the "Original" usernames (So people who are still playing + people who are new to the game).
What I'm trying to do is to merge them so i can have in a single table (sum up) their values.
I've already made my tables proper System Tables.
I created their connection in the workbook.
I've tried to merge them but i keep getting less rows than i expect to have, so some records are being left out or not being summed.
I've tried Left Outer, Right Outer, Full Outer with no success.
This is where im standing:
As #Jenn said, i had to append the tables instead of merging them and i also used a filter inside PowerQuery to remove all blanks/zeros before loading it into Excel, i was left with 500K Unique rows, instead of 1.6 Million. Thanks for the comment!
I would append the tables, as indicated above. First load each table separately into PowerQuery, and then append one table into the other one. The column names look a little long and it may make sense to simplify the column names so that the system doesn't read them as different columns due to an inadvertent typo.
I'm in the processing of creating a report for the company I work at that has a rather complicated survey export file that needs to have the data extracted in meaningful ways.
The table headers are as follow https://docs.google.com/spreadsheets/d/1Et9Pg6k9CJA3HTO0aHcnSnOWVU05bmHYUsPS0wB2Nr8/edit?usp=sharing
It has respondents listing there top 3 most important options and the rest are left blank.
If anyone can help me figure out a way to potentially summarize this in a pivot table that would be great.
You're data is in a crosstab. Pivot's don't like that kind of layout. You need to unpivot your data.
If you've got the PowerQuery add-in installed (or have Excel 2016 or Excel/Office 365 subscription) then you can use PowerQuery to do this. Google "PowerQuery" and "Unpivot" and you'll turn up a whole heap of videos.
Otherwise you can use VBA such as my Unpivot routine I've previously blogged about at http://dailydoseofexcel.com/archives/2013/11/21/unpivot-shootout/
As always it depends what questions you want to ask in your analysis. Here are two suggestions.
What are the commonest first/second/third choices?
This assumes that the ranking is important, i.e. the first choice is ranked significantly higher than the second choice, so you want to analyse them separately.
You could add three extra columns to your data using this formula to convert the first choice to a single variable with 11 categories
=IFERROR(MATCH(COLUMNS($A:A),$A3:$K3,0),"")
in L3 and likewise with the second and third choices in M3 and N3.
in the event that a respondent (row) has less than three choices, it will give a blank for the second and/or third choice.
What are the commonest choices regardless of ranking?
This assumes that the ranking isn't so important - you just want to know which columns have been picked overall.
=INDEX($L$3:$N$10,INT((ROWS($1:1)-1)/3)+1,MOD(INT(ROWS($1:1)-1),3)+1)
In N3. This would have to pulled down for 3N rows, where N is the number of rows in the original dataset.
Then it would be a simple case of setting up pivot tables or charts for the four new variables.
I have a little bit of an Excel problem and would be happy about any suggestions.
Long version: I have a dataset with raw data representing journal entries. The structure of this dataset can be seen here:
Now, what I want to achieve is to assign each row/each journal entry to a cost category (marketing, personnel, IT, depreciation, …) based on the values in the account number, type, and cost center rows, and, in a second step, break down the categories once more, eg. for labour costs, distinguish between direct and indirect labour costs.
The way my company does this right now is using an Excel sheet with several macros where the criteria are hardcoded in the VBA code to loop through the whole list, check if a row matches the criteria for a certain cost category, and if it does, copy the row to a new sheet (having one new sheet for each category), then using a second macro to break down the categories, assigning values to the “description”-column which is empty initially based on another set of criteria. Then, pivot tables are used on each of the new sub-datasets to calculate sums for each sub-category. These sums are finally used as input data for a management report (as seen in the image above) which is the ultimate goal of this whole ordeal.
Now, not only does this seem overly complicated to me and running the macros and manually adjusting the input ranges for the pivot tables takes forever, but also the criteria for allocating the costs can change quite often, and opening the VBA editor and changing the code is not really user-friendly.The initial idea was to maybe include some helper columns (one for each cost category) and somehow create an indicator variable being one of the entry falls in the respective category, and zero otherwise, and then use these columns for further calculations (e.g. for Sumifs and such).
The problem is that a) combinations of account number and type are not unique, so that one account number can go along with various types, and one type can go along with various account numbers, so the criteria can be something like C6 = 544300 OR 544700 AND D6<>110246, etc. And b) criteria can change, meaning sometimes a new account number or type is added that also has to be assigned to an already existing category such as labor costs, which would make it necessary to include that criterion in all the formulas for that particular cost category. So, is it possible to somehow create a criteria table for each category that serves as input for some sort of IF/SUMIF or lookup function?
Short version: I have a data set (can range from 5000 to up to 100000 rows, 8 columns) where I want to perform a lookup, but based on various criteria. And, in addition to that, it would be nice if the criteria could somehow be drawn from a separate list so that they can be modified fairly easily without having to change the formula itself. Is there a way to do so? Or do you think using the advanced filter might be the most suitable option?
I have imported a bunch of data using PowerQuery into a single table and am building dashboard reporting. I have been using Pivot Tables to build my reports, which has worked fine so far.
However, I've come to a point though where I want to simply show the count of multiple columns (calculated fields). So I have column A,B,C,D, and want to show the count each of each. But, I don't want them to be subsets (or children) of one another, and I don't want to build a bunch of Pivot Tables (file is already getting pretty big, and I want them row by row for easy viewing). Any suggestions?
Also, I am using the "Columns" field already to show the counts by certain weeks (week one, week two, etc.).
Thanks,
-A
Thanks for the follow-up. Within PowerPivot, I have four calculated fields/columns that are True/False for each column. I want to know how many times each of those columns were marked "True" (I can rename the "True" field to distinguish between which field it's referencing). But I don't want four pivot tables. Right now I can only think of making four pivot tables, filtering out the false for each one, then hiding the rows so the "True" values stack on top of one another. If I put all the four fields together in the same Pivot, the three below the first become subsets. I don't want subsets, just occurrence counts.
Does this help provide clarification?
If I understand you correctly, here's an example that shows what you're trying to achieve:
The table on the left has the TRUE/FALSE entries and the PivotTable on the right just shows the number of true items in each of those columns.
The format of the DAX measure to produce these count totals is:
[Count of A]=CALCULATE(COUNTROWS(PetFacts),PetFacts[A]=TRUE)
(Apologies to any parrot owners who may get upset that I have inadvertently re-classified their pets as cold-blooded!)