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Movement in spreadsheet as form after enter
When using an Excel spreadsheet as a form, is there a way to move from one cell location directly to another cell location after pressing enter in the first cell? What I want to do is have the user enter the width in cell B7, hit enter, and have B9 become the "active" cell, then enter the length in B9, hit enter, and have B11 become the "active" cell, so on and so forth. Essentially I want to skip from one input cell to another without having to go through all of the rows. Not all "moves" from one cell to another would be exactly two rows down, other locations in the spreadsheet would require moves of 3 or 4 rows to get to the next "active" cell. All of my moves would be in the same column though. Thanks to all who look at this.
Drawing data from multiple spreadsheets
Hi, So I have multiple spreadsheets with animal numbers and their weights I want to combine it on one spreadsheet The problem is that not all the animal numbers are on all the tabs, so I need a calculation that will "skip over" the one's not there. So for example this sheet (28 October) there are animals without tags and we gave them numbers 0.1-0.3, and then below that you'll see that 24004 wasn't weighed on that day so I don't want the formula on the final sheet to bomb out. If there's some way to do this process faster than what I'm doing currently - one by one = and then selecting the tab and the corresponding weight and animal number. Please and thanks so much!
Countif/Countifs
I'm trying to do a standard countifs formula for several columns of information. Each column is using the same criteria but has different ranges. I'm trying to make an equation that will be easy to drag so I do not have to rewrite the range each time. Does anyone know how to do this? I have cells with the prewritten ranges I'll want to use. I can give more information if that helps people understand.
Conditional Formatting for Spilled Arrays
I have recently composed a bunch of functions to make using conditional formatting with spilled arrays more manageable. You can check out those formulas at the end of my post. I am curious if anyone has a different way to accomplish this goal. I will briefly describe the overall method and give a use case. In essence, to use conditional formatting you need to 1)specify a range of cells where the rule will be conditionally applied (the "Conditional Formatting Range") and 2) specify the condition for application. In many cases, the formatting is conditioned upon the placement of the cell/column/row/etc. relative to the spilled array which generated it (the "Spilled Array Range"). The problem (so far as I know) is that Excel's conditional formatting manager does not allow dynamic range references to specify the Conditional Formatting Range, so there is a fundamental disconnect between the Conditional Formatting Range and the possible range of the Spilled Array Range you want to format. It occurred to me that one possible solution to this problem is to A) set the Conditional Formatting Range to a defined range that is certain to be larger than your Spilled Array Range and B) create conditions that inherently self limit themselves to the Spilled Array Range regardless of the size of your Conditional Formatting Range. Mindful of the perils of using volatile functions, I wanted to create a solution that avoids turning values (string references primarily) into range references via functions like indirect and offset. That meant that I was limited to selecting a subrange from a larger range and constructing a dynamic range by way of a pattern like "index(array1, starting_row, starting_col):index(array2, ending_row, ending_col)" where the first index returns a single cell range reference to the first cell of the target range and the second index returns a single cell range reference to the last cell of the target range. This idea sort of distills down to the last few lines of the function I created: result, IF( NOT(base_in_container), NA(), LET( start_ref, INDEX(container_array, idx_base_in_container_first_row, idx_base_in_container_first_col), end_ref, INDEX(container_array, idx_base_in_container_last_row, idx_base_in_container_last_col), start_ref:end_ref ) ), If you name the range created in this way, you can simply enter "=named_range" into the applies to field in the conditional formatting interface and Excel will, at the time you apply the rule, resolve that name into whatever the then current range reference is of named_range, e.g. "A$7$:$G$52". Assuming your spilled array is contained in that range, your conditional formatting rule will apply to the spilled array. I call this larger containing range something like "CF_OVERSIZED_ARRAY." Once CF_OVERSIZED_ARRAY is set to a rule, you never have to change the Conditional Formatting Range again unless your spilled array size possibly exceeds whatever range you initially selected. (For instance, if your oversized array is 50 rows and 12 columns you need not change its size unless your spilled array suddenly grows from say 7 columns to 14). The elegance of this method over directly hardcoding the value is that if you have many conditional formatting rules, by entering "=named_range" for the applies to range in each rule, you both eliminate the possibility of inconsistent application ranges and have a visual confirmation when entering each rule that the value you are setting is exactly what you intend (rather than something like "=worksheet1!$A$23:$H$79"). Furthermore, by programmatically defining the oversized array, you can make it as "small" as reasonable, thereby avoiding having conditional formatting apply to many unused cells (such as the whole worksheet). At this point, the next computation minimization occurs - a guard clause for each condition is specified such that any cell in CF_OVERSIZED_ARRAY outside of the Spilled Array Range immediately returns a false and no further condition checking is performed. The general formula for checking if a cell is within the Spilled Array Range is as follows along with an example of a guard clause: is_within_array = LAMBDA( range, LET( start_row, ROW(TAKE(range, 1, 1)), start_col, COLUMN(TAKE(range, 1, 1)), AND( ROW() >= start_row, ROW() < start_row + ROWS(range), COLUMN() >= start_col, COLUMN() < start_col + COLUMNS(range) ) ) ); is_in_row_of_array = LAMBDA( range, start_index, [end_index], IF( NOT(is_within_array(range)), FALSE, LET( Now that the basic structure has been established, a number of workhorse functions are established: is_in_row_of_array - cell is within a specified row or range of rows in the spilled array such as "is in row 1" or "is in rows 4 through 6", is_in_col_of_array - cell is within a specified column or range of columns in the spilled array such as "is in column 1" or "is in columns 4 through 6", is_in_slice_of_array - cell is with a specified contiguous portion of the spilled array such as "is between rows 5 through 7 and columns 2 through 12" is_in_interval_of_array - cell is in set of every N rows or N columns such as "is one of every other row" or "is one of every third column" is_in_recurring_band_of_rows - cell is in a recurring grouping of rows such as "is 2nd and 3rd row of every group of 4 rows" is_in_recurring_band_of_cols - cell is in a recurring grouping of columns such as "is last column of every group of 7 columns" Here is an example function: is_in_col_of_array = LAMBDA( range, start_index, [end_index], IF( NOT(is_within_array(range)), FALSE, LET( num_cols, COLUMNS(range), current_col, COLUMN() - COLUMN(TAKE(range, 1, 1)) + 1, start_resolved, IF(start_index > 0, start_index, num_cols + start_index + 1), end_resolved, IF( ISOMITTED(end_index), start_resolved, IF( end_index > 0, end_index, num_cols + end_index + 1 ) ), final_start, MIN(start_resolved, end_resolved), final_end, MAX(start_resolved, end_resolved), AND(current_col >= final_start, current_col <= final_end) ) ) ); On top of the basic structure, convenience functions are created - the names of which should indicate how they solve common formatting needs: alternate_cols alternate_rows is_in_first_row_of_recurring_band_of_rows is_in_last_row_of_recurring_band_of_rows is_in_first_col_of_recurring_band_of_cols is_in_last_col_of_recurring_band_of_cols is_in_header_of_col is_in_last_row_of_col is_in_first_data_row_of_col is_between_first_and_last_row_of_col One major benefit flowing from this design is that these conditions are composable, e.g. alternate_cols * is_in_header_of_col would give you alternating formatting on the headers of a spilled array, such as an array with empty columns between each of the substantive columns. While I do not promise that the following formulas are perfect, what I can say is that they presently permit me to write rules like this: =cf.is_in_row_of_array(ins_rep.dynamic_array, 1)*cf.alternate_cols(ins_rep.dynamic_array,FALSE) =cf.is_in_first_data_row_of_col(ins_rep.dynamic_array,9) =cf.is_between_first_and_last_row_of_col(ins_rep.dynamic_array, 9,TRUE) =cf.is_in_last_row_of_col(ins_rep.dynamic_array,9) Which effectively gives me a rule for all headers (shading with underlining and bold), the ability to set the first data cell in column 9 to be a dollar format, the last cell in column 9 to be a dollar format with a top border, and all of the other cells in column 9 to be simple integers. So something like this (imagine the first cell is shaded as described and the last cell has a top border) is what I get for column 9 of a dynamically generated and spilled array: Fees $175 175 175 175 175 175 175 175 175 $1,575 Please let me know if you have found any other ways to address the problem of the Conditional Formatting Range being disconnected from the Spilled Array Range. I'm happy to answer any questions about my method or formulas, so feel free to ask. I'd also appreciate any feedback/suggestions/improvements on my idea/formulas. Here are the complete formulas (I have them saved within Excel Labs Advanced formula environment in separate modules) // _range module create_expanded_from_subset_of_containing_range = LAMBDA( base_array, desired_height, container_array, [desired_width], LET( req_width, IF(ISOMITTED(desired_width), COLUMNS(base_array), desired_width), /* --- Resolve anchors (references, not values) --- */ base_array_first_cell, INDEX(base_array, 1, 1), base_array_first_row, ROW(base_array_first_cell), base_array_first_col, COLUMN(base_array_first_cell), container_array_first_cell, INDEX(container_array, 1, 1), container_array_first_row, ROW(container_array_first_cell), container_array_first_col, COLUMN(container_array_first_cell), container_array_rows, rows(container_array), container_array_cols, columns(container_array), idx_base_in_container_first_row, base_array_first_row - container_array_first_row +1, idx_base_in_container_first_col, base_array_first_col - container_array_first_col +1, idx_base_in_container_last_row, idx_base_in_container_first_row + desired_height - 1, idx_base_in_container_last_col, idx_base_in_container_first_col + req_width - 1, base_in_container, and( idx_base_in_container_first_row > 0, idx_base_in_container_first_row <= idx_base_in_container_last_row, idx_base_in_container_last_row <= container_array_rows, idx_base_in_container_first_col > 0, idx_base_in_container_first_col <= idx_base_in_container_last_col, idx_base_in_container_last_col <= container_array_cols ), result, IF( NOT(base_in_container), NA(), LET( start_ref, INDEX(container_array, idx_base_in_container_first_row, idx_base_in_container_first_col), end_ref, INDEX(container_array, idx_base_in_container_last_row, idx_base_in_container_last_col), start_ref:end_ref ) ), result ) ); //cf module is_within_array = LAMBDA( range, LET( start_row, ROW(TAKE(range, 1, 1)), start_col, COLUMN(TAKE(range, 1, 1)), AND( ROW() >= start_row, ROW() < start_row + ROWS(range), COLUMN() >= start_col, COLUMN() < start_col + COLUMNS(range) ) ) ); is_in_row_of_array = LAMBDA( range, start_index, [end_index], IF( NOT(is_within_array(range)), FALSE, LET( num_rows, ROWS(range), current_row, ROW() - ROW(TAKE(range, 1, 1)) + 1, start_resolved, IF(start_index > 0, start_index, num_rows + start_index + 1), end_resolved, IF(ISOMITTED(end_index), start_resolved, IF(end_index > 0, end_index, num_rows + end_index + 1)), final_start, MIN(start_resolved, end_resolved), final_end, MAX(start_resolved, end_resolved), AND(current_row >= final_start, current_row <= final_end) ) ) ); is_in_col_of_array = LAMBDA( range, start_index, [end_index], IF( NOT(is_within_array(range)), FALSE, LET( num_cols, COLUMNS(range), current_col, COLUMN() - COLUMN(TAKE(range, 1, 1)) + 1, start_resolved, IF(start_index > 0, start_index, num_cols + start_index + 1), end_resolved, IF(ISOMITTED(end_index), start_resolved, IF(end_index > 0, end_index, num_cols + end_index + 1)), final_start, MIN(start_resolved, end_resolved), final_end, MAX(start_resolved, end_resolved), AND(current_col >= final_start, current_col <= final_end) ) ) ); is_in_slice_of_array = LAMBDA( range, start_row, start_col, [end_row], [end_col], [include_slice_neg1_to_exclude], if( not(is_within_array(range)), FALSE, LET( final_end_row, IF(ISOMITTED(end_row), start_row, end_row), final_end_col, IF(ISOMITTED(end_col), start_col, end_col), row_match, is_in_row_of_array(range, start_row, final_end_row), col_match, is_in_col_of_array(range, start_col, final_end_col), selection, AND(row_match, col_match), mode, IF(ISOMITTED(include_slice_neg1_to_exclude), 1, include_slice_neg1_to_exclude), IF(mode = -1, NOT(selection), selection) ) ) ); is_in_interval_of_array = LAMBDA( range, row_interval, col_interval, [start_at_row], [start_at_col], [include_interval_neg1_to_exclude], if( not(is_within_array(range)), FALSE, LET( row_idx, ROW() - ROW(TAKE(range, 1, 1)) + 1, col_idx, COLUMN() - COLUMN(TAKE(range, 1, 1)) + 1, start_row, IF(ISOMITTED(start_at_row), 1, start_at_row), start_col, IF(ISOMITTED(start_at_col), 1, start_at_col), row_match, IF(row_interval <= 1, TRUE, MOD(row_idx - start_row, row_interval) = 0), col_match, IF(col_interval <= 1, TRUE, MOD(col_idx - start_col, col_interval) = 0), selection, AND(row_match, col_match), mode, IF(ISOMITTED(include_interval_neg1_to_exclude), 1, include_interval_neg1_to_exclude), IF(mode = -1, NOT(selection), selection) ) ) ); alternate_cols = lambda( array, [start_with_even_df_TRUE], is_in_interval_of_array(array,1,2,,1+if(isomitted(start_with_even_df_TRUE),1,start_with_even_df_TRUE)) ); alternate_rows = lambda( array, [start_with_even_df_TRUE], is_in_interval_of_array(array,2,1,1+if(isomitted(start_with_even_df_TRUE),1,start_with_even_df_TRUE)) ); is_in_recurring_band_of_rows = LAMBDA( range, rows_in_pattern, first_row_in_band, [band_thickness], [include_selected_df_TRUE], IF( NOT(is_within_array(range)), FALSE, LET( relative_row, ROW() - ROW(TAKE(range, 1, 1)), row_in_pattern, MOD(relative_row, rows_in_pattern) + 1, actual_thickness, IF(ISOMITTED(band_thickness), 1, band_thickness), is_in_band, AND( row_in_pattern >= first_row_in_band, row_in_pattern <= (first_row_in_band + actual_thickness - 1) ), include_mode, IF(ISOMITTED(include_selected_df_TRUE), TRUE, include_selected_df_TRUE), IF(include_mode, is_in_band, NOT(is_in_band)) ) ) ); is_in_first_row_of_recurring_band_of_rows = lambda( range, rows_in_pattern, [include_selected_df_TRUE], is_in_recurring_band_of_rows(range, rows_in_pattern, 1, 1, include_selected_df_TRUE) ); is_in_last_row_of_recurring_band_of_rows = lambda( range, rows_in_pattern, [include_selected_df_TRUE], is_in_recurring_band_of_rows(range, rows_in_pattern, rows_in_pattern, 1, include_selected_df_TRUE) ); is_in_recurring_band_of_cols = LAMBDA( range, cols_in_pattern, first_col_in_band, [band_thickness], [include_selected_df_TRUE], IF( NOT(is_within_array(range)), FALSE, LET( relative_col, COLUMN() - COLUMN(TAKE(range, 1, 1)), col_in_pattern, MOD(relative_col, cols_in_pattern) + 1, actual_thickness, IF(ISOMITTED(band_thickness), 1, band_thickness), is_in_band, AND( col_in_pattern >= first_col_in_band, col_in_pattern <= (first_col_in_band + actual_thickness - 1) ), include_mode, IF(ISOMITTED(include_selected_df_TRUE), TRUE, include_selected_df_TRUE), IF(include_mode, is_in_band, NOT(is_in_band)) ) ) ); is_in_first_col_of_recurring_band_of_cols = LAMBDA( range, cols_in_pattern, [include_selected_df_TRUE], is_in_recurring_band_of_cols(range, cols_in_pattern, 1, 1, include_selected_df_TRUE) ); is_in_last_col_of_recurring_band_of_cols = LAMBDA( range, cols_in_pattern, [include_selected_df_TRUE], is_in_recurring_band_of_cols(range, cols_in_pattern, cols_in_pattern, 1, include_selected_df_TRUE) ); is_in_header_of_col = LAMBDA( array, [column_no], IF(ISOMITTED(column_no), is_in_row_of_array(array, 1), is_in_slice_of_array(array, 1, column_no) ) ); is_in_last_row_of_col = LAMBDA( array, [column_no], IF(ISOMITTED(column_no), is_in_row_of_array(array, -1), is_in_slice_of_array(array, -1, column_no) ) ); is_in_first_data_row_of_col = LAMBDA( array, [column_no], IF(ISOMITTED(column_no), is_in_row_of_array(array, 2), is_in_slice_of_array(array, 2, column_no) ) ); is_between_first_and_last_row_of_col = lambda( array, [column_no], [exclude_first_data_row_df_FALSE], is_in_slice_of_array( array, if(isomitted(exclude_first_data_row_df_FALSE),FALSE,exclude_first_data_row_df_FALSE)+2, if(isomitted(column_no),1,column_no), -2, if(isomitted(column_no),-1,column_no), ) );
#Spill Error in excel
I'm encountering a strange issue with Excel. When I open a PivotTable and move any field from the Rows area to the Filters area, the PivotTable disappears entirely and displays a #SPILL! error. However, if I remove that field and add a different one to the Rows area instead, the PivotTable works without any problems. This problem started for our users after installing new updates.Custom Sparkline Formula
I am in the process of moving to Excel from Google sheets. I am trying to build a project sheet and add a formula that will provide a "sparkline" for quick reference of the projected start and end dates, and then based on the status of the task (not started, in progress or complete) and today's date in relation to the start and end dates of the task, change color (Green, yellow, red, etc). Here is the formula I use in Google Sheets, but I cannot get it to work in Excel. =SPARKLINE(if(OR(today()<D5,today()>E5),{int(D5)-int($D$2),if(D5=E5,1,int(E5)-int(D5))},{int(D5)-int($D$2),today()-int(D5),1,int(E5)-today()}),{"charttype","bar";"color1","white";"color2",if(G5="Complete","grey",if(today()>E5,"red",if(AND(today()>D5,today()<E5,G5="Not Started Yet"),"darkred",if(AND(today()>D5,today()<E5),"orange",if(G5="In Progress","orange",)))));"max",int($E$2)-int($D$2)}) In this formula, Column D represents the start date and Column E represents the specific task end date. D2 and E2 represent the Project start and end date. Any Advice?
Need Help with Name Manager
So, I created a name for name manager. Essentially, I am keeping track of daily tasks through certain departments (which are color coded) and counting those colors to add the time spent on each department daily. I used the name manager to help get the colors of each box to be counted. However, when I saved the sheet and tried to share it with my coworkers the sheet completely stopped working. It seems the name manager name did not save to the new sheets so it is not grabbing the coding and not adding correctly. If there is an easier way to do this I'm all ears!
Lookup help with 2 or more variables
I am trying to create sort of a calculator where the user will choose 3 variables form dropdowns to return a price. The chart below is the information that they would provide and the result they should receive. For example, they would choose Trina, 22 panels, and cash and the result would be $3.10. Can someone assist with how to write this formula?
Celebrating 40 Years of Excel: A Journey of Impact, Innovation, and Community
🎉 Celebrating 40 Years of Microsoft Excel This year, Microsoft Excel turns 40! From its debut in 1985 to becoming the world’s go-to tool for analysis, decision-making, and creativity, Excel has shaped how we work, learn, and share insights. 📊 Excel in Pop Culture Over the decades, Excel has appeared everywhere — from TV shows to internet memes — proving it’s more than just software; it’s part of our culture. ⏳ Excel Through the Decades From the first release in 1985, to the introduction of pivot tables, charts, Power Query, dynamic arrays, and now AI-powered Excel, the journey has been remarkable. 💼 Excel’s Impact on Business For entrepreneurs, enterprises, and analysts alike, Excel has been a cornerstone of productivity, unlocking insights and driving smarter decisions. 💚 A Thank You to the Excel MVPs & Community A heartfelt thank you to the Excel MVPs and community for teaching, inspiring, and sharing knowledge with millions of users worldwide. Your passion has kept Excel thriving for 40 years. 🎂 Here’s to the Next 40 Years From formulas and charts to AI and beyond, the future of Excel is bright. Happy 40th birthday, Excel! 🎉 #ExcelAt40 #ExcelJourney #ExcelImpactExcel at 40: Days of Innovation, Insight, and Impact
Lookup Logic and Formula Mastery (Days 12–13) Day 12: INDEX + MATCH INDEX-MATCH offers precision and control that VLOOKUP can’t match. It allows searching in any direction, handling dynamic ranges, and building smarter formulas. Takeaway: INDEX-MATCH remains a favorite for its flexibility. Day 13: IF Statements The IF function is Excel’s gateway to decision-making — from flagging errors to categorizing data and building nested logic. Takeaway: IF unlocks conditional logic, the foundation of intelligent spreadsheets. Formatting and Data Integrity (Days 14–16) Day 14: Conditional Formatting Highlight trends, flag errors, and guide decisions — all without formulas. Takeaway: Color isn’t decoration; it’s direction. Day 15: Named Ranges Named ranges make formulas readable, reusable, and scalable. Takeaway: A named cell is a documented cell. Day 16: Data Validation Prevent errors before they happen. Data validation ensures consistency and control. Takeaway: Validation is your first line of defense. Advanced Functions and Developer Thinking (Days 17–18) Day 17: LET and LAMBDA Reusable logic, cleaner formulas, and modular thinking. Takeaway: Write once, reuse everywhere. Day 18: Excel as Code Excel can be structured, recursive, and debuggable. Treat it like code. Takeaway: Excel is a logic engine, not just a grid. Visualization and Dashboards (Days 19–20, 24–25) Day 19: Charting Excel’s Visual History From bar charts to dynamic visuals, Excel’s charting tools have evolved to tell better stories. Day 20: Sparklines Tiny visuals with huge impact — sparklines bring context to rows and columns. Day 24: Dashboard Design Tips Whitespace, hierarchy, and purpose-driven visuals matter. Day 25: Data Storytelling Turn numbers into narratives. Takeaway: Good visuals don’t just show; they persuade. Automation and Integration (Days 21–23) Day 21: Power Query Transform messy data into structured insights with just a few clicks. Day 22: Power Pivot Build relationships, create measures, and model data like a pro. Day 23: No-Code Automation Workflows that connect Excel to the Power Platform. AI, Python, and the Future of Excel (Days 26–32) Day 26: Copilot and Python in Excel Ask questions, run code, and automate analysis. Day 27: Excel in Schools and Turing Power Excel teaches logic, empowers students, and builds future thinkers. Day 28: Driven Impact Excel powers AI models and NGO dashboards — smarter sheets, bigger change. Day 29: Excel and GitHub Trigger reports from commits. Excel meets DevOps. Takeaway: Excel is part of your automation stack. Day 30: Excel Humor REF errors. Merged cell chaos. We have all laughed and cried. Day 31: Quick Excel Tips CTRL + SHIFT + L CTRL + E ALT + = Day 32: Excel and AI Predictions From reactive to predictive with natural language, smart forecasts, and proactive insights. Takeaway: Excel is not just reactive; it is predictive. Global Impact and Community (Days 33–36) Day 33: Global Impact and MVP Stories From classrooms to boardrooms, Excel empowers a global community. Takeaway: Excel is powered by people — educators, creators, and problem-solvers. Day 34: Excel in NGOs Supporting development, transparency, and impact measurement. Day 35: Excel in Enterprises Scaling models, compliance, and business-critical decisions. Day 36: Excel in Everyday Life From personal budgets to side hustles, Excel powers daily problem-solving. Final Thoughts Excel is more than a spreadsheet — it is a platform for logic, design, automation, and storytelling. As we celebrate 40 years of innovation, I am grateful for the Excel MVPs, product teams, and the global community of users who keep building smarter with Excel. What is your favorite Excel feature or moment? Share your thoughts and let’s celebrate the journey together.
