Have you ever wished Excel could calculate faster — maybe even use your GPU?
I’ve run into performance walls with large Excel spreadsheets — especially ones with complex formulas or large datasets. For example, dealing with time series of market data where they don't all have the same set of holidays and trading days. Even with only 20 years of daily data, having more than a few tickers can make changing one cell take 30 seconds while it all recalcs. I’m wondering if others have hit similar limits. - Have you ever wished Excel could use your GPU to speed up recalculation? - What kinds of sheets or formulas caused the slowdown? - Did you find any workarounds, or just live with it? I’m looking to hear what kinds of spreadsheets people struggle with most, and tips for how they got past them if they did.
Filter function with Time criteria
Dear Experts, I have a data like below:- For a Single rnti== 17975(say), and in Column No B is the time-difference between each rows for this rnti, for lcid==4 (column=F) I want to populate Column H~K in a way that if the "isStatusReportRequested_" between 0~5ms then "YES" will be populated in Column "H", and so on Attached is the Worksheet, I tried using IF, but not seems this didn't worked:- Attached is the Worksheet. Br, AnupamFilter Function or any Logic
Dear Experts, I have a data like below , Column "H" has rnti's , Column "F" has sfn which can range from 0~1023( and once 1023 it shall start again from 0) slots that can range from 0~9, each sfn(say 252) has slots(0~9), Column "J" is Sn( Sequence number) , In Output , I want like this, example for the rnti 384, column "B" = count of spdu-1 for the rnti=384, and so on How the spdu-1 counted? (spdu-x's are counted per rnti & per-rlcCtrlAckSn_ ,) as below for example for rnti==384, Thanks in Advance, I posted this earlier also , not sure why post got deleted somehowHow to highlight duplicated sequential rows
I have a data like below sfn can range from 0~1023, and then again start with 0, slots can range from 0~19 I want to highlight the rows like below:- so, 331.12 is repeated in ROWS(4,5) so highlighted in Yellow, 331.13 is repeated in ROWS(6,7) so highlighted in Yellow and so on. if any Conditional formatting or anyother logic, by which we can highlight these data , would be helpful. Worksheet attached. Br, AnupamCalculation formula for repetition entries
Dear Experts, I have a data like below in Home-Worksheet :- In Output, I want to calculate the count of spdu-1, spdu-2 per rnti... spdu-1 for rnti( say 384) is calculated as :- Sfn can range from 0~1023( and will start again once 1023 reached) and for each sfn (slot can range from 0~9) Thanks in Advance, Br, AnupamFilter Function or any Other Logic
Dear Experts, I have a data like this in the Home-Tab:- in the Output file, I need something like this:- So, each rnti's can have duplicated Status PDU, by duplicated means two Status PDU for the same rnti Sequentially using the same "rlcCtrlAckSn_" So , in the Output for each rnti, we need the Count of the spdu-1,spdu-2..... How the spdu calculated? For say Rnti== 384, if we have Status_PDU on the same rnti and same rlcCtrlAckSn( here 1338 say) just after another( sequentially) then it's spdu-1, if it's using the same rlcCtrlAckSn twice, then it's spdu-2, need to populate the counts of each spdu-x per rnti in the Output. Attached is the Worksheet. Thanks & Regards Anupam Shrivastava
Building relationships in data model to leverage power pivot - circumventing unique key ID issue
When building relationships between two data tables in the data model of excel, you require a unique ID / key to relate the two datasets. This makes sense but I find it has an issue: It requires you to reduce the entirety of your dataset down to unique ID's in one of your tables so that it can do the 'one to many' relationship build. If you don't have unique ID's / key, the relationship between two tables often doesn't work. Yes you can use an intermediary table with unique ID's to link the two complete tables, but when using that intermediary table I find you are limited in what additional data rows you can bring into the combined power pivot table to provide context to the relationship. Once you start bringing in contextual rows from the separate tables, there ends up being a lot of repeated values for any numerical figure from the other table, which you are trying to aggregate. An example below of the power pivot table result (data from table 1 in blue, from table 2 in green) Product ID (Unique Key) Service Line Sales Amount COGS 169AKY T Shirts $1,000 $7,500 169AKY Sweaters $2,000 $7,500 169AKY Socks $3,000 $7,500 169AKY Turtle necks $4,000 $7,500 169AKY Pants $5,000 $7,500 COGS from table 2 also has the data broken out by Service Line (T-shirts, Sweaters, etc.), but will only show an aggregate COGS value for all service lines for each unique product ID, instead of breaking it out by Service Line. This is because the Service Line column is being inserted into the power pivot table from table 1, it breaks out sales by Service Line. If you insert the Service Line data column into the power pivot from table 2, COGS would be broken out by Service Line, and only an aggregate for sales would be produced. Ideally the power pivot would display sales AND COGS broken out by Service Line (and Product ID). Is there a best practice for building relationships (unique ID's) between data tables: Without reducing the richness / variety of columns and data in your original tables (when creating the unique ID)? Maybe 'group by' function in power query to obtain unique ID's before building the relationship? With retaining the ability to slice and dice the data by different characteristics (assuming they are present in both source tables) and have that detail presented in the power pivot. Thanks for the help! The humble Apprentice
