(Download my Excel file here)

Why didn’t I remember that I’d solved this and created a post?

Who knows but there are two important differences I’ll review in this post:

- preferred formula solution
- power query variation

The person I helped preferred a simple solution with a couple of quick manual steps:

- create unique ID list =UNIQUE($A$4:$A$13)
- concatenate Codes =TEXTJOIN(“, “,TRUE,IF($A$4:$A$13=$L4,$B$4:$B$13,””))
- copy/paste formula above as values
- text to columns to split the codes

Q: Why not fully automate it?

A: It’s a quick one time task. Fully automating could take more time.

That’s fair. Now I’ll examine a Power Query solution variation.

In my previous post I found this tip that modifies the M code in the advanced editor using *Text.Combine* function.

This variation uses *Text.Combine* using only the menu (no manual M code changes).

**Menu Only Solution Steps:**

**Step 0**

Load data into Power Query.

**Step 1**

The magic is **Operation ‘All Rows’** in the Group By below.

When I group by ID and use ‘All Rows’ in new column ‘AllCodes’, M creates a table in each row.

**Step 2**

I don’t need the entire table for each ID (row). I just need the values from column Code. The Custom Column allows me to extract these values into a list.

Tip: click to the right of text ‘List’ to see the values in bottom left.

**Step 3**

In the column headers press the double arrows, select ‘Extract Values’.

We end up with this:

**Step 4**

I did a couple of cleanup steps and then split column ‘Code 1’ by delimiter (comma).

Close and Load to a new sheet. Yes it’s fully automated but it does take time to learn this approach.

**Simple or Robust?**

Business users with a 1 time task may prefer a formula solution despite a couple of manual steps.

Data nerds like me prefer to invest time to fully automate and learn something new along the way.

**Pitfall**

I did get confused in Step 2. **What am I supposed to extract and from where?**

Answer was **[AllCodes][Code]** (column Code that’s inside the table in column AllFields).

I always try to review what I’ve learned so I don’t forget for the next time it comes in handy (hence making this post to practice!).

I’m a Data Analyst from Markham Ontario Canada (near Toronto). I need to keep my Excel skills up to date for my job but I also find that playing around in Excel helps pass the time during Covid.

The post aggregating text part 2 first appeared on My Spreadsheet Lab.]]>

Template link (Microsoft Tech Community).

Full List of Elisabetta’s Templates:

- Favorite movie list
- Periodic table
- Planets & Comets
- Stars & Constellations
- U.S. college decision helper
- Relocation helper
- Baby name tracker
- Nutrition tracker
- Recipe analyzer
- Fitness tracker
- Investment tracker

I reviewed and recommend ‘Planets and Comets’ and ‘Favorite Movie List’.

I’m critical of poorly designed spreadsheets but these are great. **Why?**

**design:**effortlessly explore/navigate the content. Smart use of font size, instructions, space.**functionality:**slicer displays smaller amounts of info (easier to read). Images added via a simple formula =IFERROR(F7.image, “No image”). Dynamic arrays reduce amount of required formulas.**discovery:**learn tons of facts about planets. Use movie template to start endless conversations.

Seen below is sheet ‘Solar system by the numbers’ from Planets & Comets.

This kind of functionality was pure fantasy when I started working with Excel 20 years ago.

Caldesi used various Dynamic Arrays in the templates including this one:

=TRANSPOSE(INDEX(SORTBY(tblMovies[#Data],tblMovies[My Rating ★],-1,tblMovies[Title],1),SEQUENCE(10),1))

- remember to correctly spell a movie title
- clarify when there’s a duplicate name
- not all movies are recognized. Empty description fields could create errors in sheet Dashboard
- i have a SurfacePro (small screen) so I modified row/column height in a few places
- these DataTypes may not be allowed on your work computer and may not work on all Excel versions. I have Microsoft 365 office insider edition

I played around with the template and added a few movies to get started. I also added a Watch List.

I’m frequently guessing an actor’s age or saying “he/she was in that other movie!”.

Last night we were re-watching GroundHog Day. I had never noticed that Michael Shannon was in the movie! Also in the movie was Brian Doyle-Murray (Bill Murray’s brother!). Another brother, not in the movie, is Joel Murray (MadMen).

A month ago I noticed that comedian Ron James had a minor line in Strange Brew. I recommend Strange Brew only if you are in a goofy mood.

My name is Kevin Lehrbass. I’ve been a Data Analyst for 20 years now.

I struggled to think of an interesting blog post to start the year until I stumbled across these cool templates. Elisabetta did a great job designing these templates. I wonder what else she’ll create?!

The post Discover Data Types templates first appeared on My Spreadsheet Lab.]]>

Such a difficult year but I did learn/practice a lot of things in Excel.

Download it here (new version of file I used last year. It lists posts with links).

**VBA Posts**

I was watching movie The Big Lebowski while flipping through a book by Bob Umlas.

I really dove into VBA that day! (post link)

Tom Urtis shared how to keep the all time min and max values (without keeping everything).

Also based on Worksheet_Change I created a demo showing a cool vba trick.

I used VBA to add color to certain letter(s) inside a cell.

I did this years ago but lost the code and wanted to recreate this. I also included a formula workaround solution.

Merged cells can be such a pain. Now you can take out your frustration by whacking them with your mouse. It was a great way to practice VBA.

**Awkward Data**

Alan Murray created a video about analyzing an awkward data-set.

Alan and Oz used Power Query to solve this. I used a formula solution.

Should I rearrange the data and then add the formulas or add the formulas without rearranging the data?

This time I used Power Query to rearrange the data into a layout that’s easier to analyze.

**Free Data**

Data from data.world about Wayne Gretzky’s goals, some trivia and finally an analysis about whether or not Alex Ovechkin can surpass Gretzky’s record!

**Excel Challenges**

Thanks to Robert for the challenge idea and to Xlarium and Bill Szysz for their ideas.

This one was from Bill Jelen (aka Mr Excel) !

It was a lot of fun participating in this. I created a formula solution.

**Excel & Power BI**

Basic sequences in Excel and Power BI.

It’s constantly in the news and important so why not write a post?

**Misc**

In late April winter was making a last stand so I decided to calculate wind chill in Excel.

My name is Kevin Lehrbass. I’m a Data Analyst. I’ve used various data software over the past 20 years but Excel has been my favorite.

Microsoft has been adding so many new features the last few years so there’s a lot to learn but that’s good because it’s fun!

The post review of 2020 posts first appeared on My Spreadsheet Lab.]]>

Download it **here!**. NOTE: file contains macros (vba)

They are such a pain and cause so many problems. …they’re also a bit intriguing.

This VBA turns range ‘MergedCellRange’ into a merged cell:

MergedCellRange.Activate

With Selection

.MergeCells = True

End With

* Why create more?* I had to simulate what your work colleagues do to you.

Have you played Whack-A-Mole? That’s the concept I’ve used. Your task is to whack (click) merged cells without clicking cells that aren’t merged. Click the mallet button to add merged cells.

Gain points for whacking merged cells. Lose points for whacking non merged cells.

It becomes a memory game trying to remember where the new merged cells are located.

If you keep clicking the mallet without whacking any cells then my code misbehaves something about merged cells merging with other merged cells maybe?

Yes it’s lame but it gave me the chance to practice vba. It includes set, loop, event code, rnd(), etc.

**Set**

This creates a merged cell with some size variation (full code ‘Create Merged Cells’ further down).

Set MergedCellRange = Range(Cells(randr1, randc1), Cells(randr2, randc2))

**Loop**

A For Next loop to create up to 3 merged cells each time you click the mallet.

For X = 1 To LoopC

**Event Code**

Includes a toggle switch. When named range EventCodeSwitch is set to “yes” the code is turned off.

Private Sub Worksheet_SelectionChange(ByVal Target As Range)

‘TOGGLE THIS EVENT CODE OFF/ON

If Range(“EventCodeSwitch”).Value = “yes” Then Exit Sub

‘IF CLICKED CELL OUTSIDE RANGE THEN EXIT

If ActiveCell.Column > 46 Then Exit Sub

If ActiveCell.Row > 42 Then Exit Sub

‘IF CELL IS MERGED THEN…

If ActiveCell.MergeCells Then

‘UNMERGES EACH SELECTED MERGED CELL

With Selection

.MergeCells = False

End With

‘INCREASE SCORE: Merged Cells Clicked

Range(“BA20”).Value = Range(“BA20”).Value + 1

Else

‘INCREASE SCORE: Unmerged Cells Clicked

Range(“BA25”).Value = Range(“BA25”).Value + 1

End If

End Sub

**Create Merged Cells**

And finally the code to create the merged cells.

Sub CREATEMERGEDCELL()

Dim randr1 As Integer, randc1 As Integer, randr2 As Integer, randc2 As Integer, randx As Integer

Dim MergedCellRange As Range, actM As Range, LoopC As Integer

LoopC = 3

Application.ScreenUpdating = False

Range(“BA16”).Value = Range(“BA16”).Value + LoopC

For X = 1 To LoopC

‘Assign random values to the variables

randx1 = Int((5 – 1 + 1) * Rnd + 1)

randx2 = Int((4 – 1 + 1) * Rnd + 1)

randc1 = Int((34 – 1 + 1) * Rnd + 1)

randr1 = Int((37 – 1 + 1) * Rnd + 1)

randc2 = randc1 + randx1

randr2 = randr1 + randx2

‘CREATE MERGED CELL RANGE

Set MergedCellRange = Range(Cells(randr1, randc1), Cells(randr2, randc2))

‘SELECT AND MERGE CELLS

MergedCellRange.Activate

With Selection

.MergeCells = True

End With

MergedCellRange.Interior.Color = RGB(Int(Rnd() * 150), Int(Rnd() * 150), Int(Rnd() * 150))

Next X

Range(“BA25”).Value = Range(“BA25”).Value – LoopC

Range(“BA42”).Activate

Application.ScreenUpdating = True

End Sub

Most Excel fans will spend more time playing with the code as that’s more fun!

I’m a Data Analyst living in Markham Ontario Canada.

Microsoft Excel is still my favorite software despite all the new software out there these days.

There’s always something new to learn or old to practice in Excel.

The post whack-a-merged-cell first appeared on My Spreadsheet Lab.]]>

Here’s the link to Robert’s shortest formula challenge.

I initially struggled to understand it. Maybe that’s part of the challenge! On my 3rd attempt I got it!

**Raw Data**

Three columns of raw data in columns A, B, and C. 119 rows of data.

**Multi-step Solution**

Starting in cell E1 we see 8 different matrices. Various combinations of Products (column A) and Variants (column B). Let’s focus on the top matrix (challenge #1).

- SUMIFS, range F3:J6, sum column C based on product and variant conditions
- Column K has a total for each row
- Cell K7 MAX function displays max value from totals above
- “P4” has max total row of 747000. Cell E7 lookup function = “P4” (max total of items P1 P2 P3 P4)

**The Challenge**

Scroll down to row 70 to see challenge #1.

Cell J70 shows answer “P4” by referencing cell E7 that we just saw. **Here’s the challenge:**

For challenge #1 get answer “P4” using a single formula!

I’m won’t attempt to solve this. My victory is understanding Robert’s solution!

Cell K70 has Robert’s formula solution for challenge #1:

=LOOKUP(2,

1/FREQUENCY(0,1/(1+MMULT(SUMIFS(C$2:C$120,

A$2:A$120,”P”&ROW($1:$4),B$2:B$120,”V”&COLUMN(A:E)),

ROW($1:$5)^0))),

“P”&ROW($1:$4))

LOOKUP function has 3 parts. Part 1 and part 3 are simple. Part 2, lookup_vector, is the beast!

LOOKUP(lookup_value, lookup_vector, [result_vector])

**Sneaky Concept**

lookup_value of 2 will never be found in the lookup_vector. Huh? I’ll explain:

I’ve evaluated (using F9 key) lookup_vector and [result_vector]. Results are:

=LOOKUP(2,

{#DIV/0!;#DIV/0!;#DIV/0!;1;#DIV/0!},

{“P1″;”P2″;”P3″;”P4”})

2 isn’t found in the lookup_vector . 1 is the only number in lookup_vector.

If the only number is equal to or less than the lookup_value the function can return the [result_vector] answer. As the lookup_vector 1 is in the 4th position the [result_vector] gives us “P4”.

Let’s modify it a bit:

=LOOKUP(2,

{1;#DIV/0!;#DIV/0!;#DIV/0!;#DIV/0!},

{“P1″;”P2″;”P3″;”P4”})

Now the answer is “P1”.

=LOOKUP(2,

{#DIV/0!;2;3;3;4;#DIV/0!},

{“P1″;”P2″;”P3″;”P4”})

Answer is “P2”. Ok…let’s move on.

**The Brain**

**lookup_vector **is the brain of Robert’s solution:

1/FREQUENCY(0,1/(1+MMULT(SUMIFS(C$2:C$120,

A$2:A$120,”P”&ROW($1:$4),B$2:B$120,”V”&COLUMN(A:E)),

ROW($1:$5)^0)))

Inside SUMIFS he has used ROW and COLUMN to create the “P” and “V” values:

Select criteria1 “P”&ROW($1:$4) and press F9 key to see: {“P1″;”P2″;”P3″;”P4”}

Select criteria2 “V”&COLUMN(A:E) and press F9 key to see: {“V1″,”V2″,”V3″,”V4″,”V5”}

SUMIFS looks like this:

SUMIFS(C$2:C$120,

A$2:A$120,{“P1″;”P2″;”P3″;”P4”},B$2:B$120,{“V1″,”V2″,”V3″,”V4″,”V5”})

Let’s audit MMULT function using the F9 key to see the results:

Using F9 on MMULT’s array1 and array2 gives us:

=LOOKUP(2,

1/FREQUENCY(0,1/(1+MMULT({122000,0,128000,123000,175000;128000,0,171000,209000,123000;0,0,0,0,0;196000,0,111000,211000,229000},{1;1;1;1;1}))),

“P”&ROW($1:$4))

Examine the numbers inside MMULT. They are the same numbers found in range F3:J6 !MAGIC!

…the final result of MMULT is:

=LOOKUP(2,

1/FREQUENCY(0,1/(1+{548000;631000;0;747000})),

“P”&ROW($1:$4))

Notice something? {548000;631000;0;747000} are total column numbers from range K3:K6 !MAGIC!

and now evaluate what FREQUENCY function does:

=LOOKUP(2,

1/FREQUENCY(0,1/{548001;631001;1;747001}),

“P”&ROW($1:$4))

…eventually becomes this:

=LOOKUP(2,

1/{0;0;0;1;0},

“P”&ROW($1:$4))

and then:

=LOOKUP(2,

{#DIV/0!;#DIV/0!;#DIV/0!;1;#DIV/0!},

“P”&ROW($1:$4))

As Robert says in his comment below, FREQUENCY function returns the maximum of the row totals.

F9 key is your best friend. Use it until you see how Robert gets the same result but in only 1 formula. I just realized that it’s 10pm and I forgot to eat supper. Who needs food when you have an interesting formula to audit

A special thanks to Robert Gascon for this interesting Excel challenge. We need these kinds of distractions these days.

As amazing as Robert’s formula solution is there’s no way I’m going to attempt to create a shorter solution! Is it possible? Maybe…but I’ll let others try.

Follow Robert’s contributions to Microsoft Tech Community: https://techcommunity.microsoft.com/t5/user/viewprofilepage/user-id/280482

The post Robert Gascon’s Shortest Formula Challenge first appeared on My Spreadsheet Lab.]]>

**Task**

For each ‘Code’ concatenate ‘Batch 1’ numbers. Sort ‘Code’ and sort ‘Batch 1’ values for each ‘Code’.

Sounds easy but what approach should we use:

- fully automated (possibly complex solution) ?
- mostly automated (minor manual step needed but simpler solution) ?

Download my Excel file to see solution details (includes Robert Gascon’s ‘Old but Wise’ solution!).

**Pivot & Formula**

My favorite. If you can live with one manual step (sorting ‘Batch 1’ values) then this is it!

**Power Query**

My other favorite. I had to learn a trick in Power Query (modifying the M code: link).

**Dynamic Array Formula**

It was good practice but it did get complicated combining dynamic array functions.

**Old School Formula**

This just got ugly. I’m sure there’s a non dynamic array formula solution but mine was ugly

**Old But Wise**

Robert Gascon sent me his amazing solution. Notice how he used the INDEX function and also AGGREGATE function. Thanks Robert.

**Ultra Modern**

Daniel Choi sent me various dynamic array solutions and also a power query solution. Thank you Daniel. I will update the file later.

**Which solution do you prefer?**

**Do you have a better solution?**

This is me Kevin Lehrbass. I’m a Data Analyst and live in Markham Ontario Canada.

If you haven’t noticed I really like Microsoft Excel. It keeps evolving with new features so I’ll never learn everything. I guess that’s good. I’ll always have something to do.

The post Aggregating Text first appeared on My Spreadsheet Lab.]]>

To answer a question do we leave the data as is and use complex formulas or rearrange it so we can use easier formulas?

Below we see the awkward data we’ve been given.

My last **post** used formulas to answer a question directly on this data. I also rearranged it using formulas.

* Daniel Choi* sent me his amazing power query solution (

**Open Power Query**

Daniel created a named range called **RawData.** He loaded this range into power query.

*How do we get there?* On the ribbon click Data / Queries & Connections

Hover over RawData and click edit. This should open power query.

**Query Settings**

Below we see Daniel’s 11 transformation steps. Looks like he created most (all?) steps using menu choices. Each step creates M code which I’ve included in blue.

**Source**

= Excel.CurrentWorkbook(){[Name=”RawData”]}[Content]

He loaded named range RawData from the current workbook. It should be easy to swap RawData with another named range if necessary at a later date.

**Transposed Table**

#”Transposed Table” = Table.Transpose(Source)

Rows become columns. Click between steps **Source** and **Transposed Table** until you see how it works.

**Filled Down**

= Table.FillDown(#”Transposed Table”,{“Column1”})

In Column1 we see the month names are filled down.

**Table.Split**

= Table.Split(#”Filled Down”,3)

*******This is an amazing step! I had never seen Table.split before!*******

It splits the dataset into 3 tables (3 rows each). *Is there a way to make the 3 a variable based on the number of months? Could we use a power query function?*

**Converted to Table**

= Table.FromList(TableSplit, Splitter.SplitByNothing(), null, null, ExtraValues.Error)

List above with 3 tables is converted into a table (1 column, each row is a table) below.

**Transpose**

= Table.AddColumn(#”Converted to Table”, “Custom”, (OT)=> Table.AddColumn( Table.Transpose(Table.RemoveColumns(OT[Column1],{“Column1″})),”Month”, (IT)=> OT[Column1][Column1]{0}) )

I don’t understand what this step is doing. Hopefully over time I’ll figure it out.

**Removed Columns**

= Table.RemoveColumns(Transpose,{“Column1”})

This step is clear. Daniel created the Custom column. Column 1 is no longer needed.

**Expanded Custom**

= Table.ExpandTableColumn(#”Removed Columns”, “Custom”, {“Column1”, “Column2”, “Column3”, “Month”}, {“Column1”, “Column2”, “Column3”, “Month”})

If you’ve done a merge in power query you’ll be familiar with this. Click the double arrows, seen in pic above, to split out into columns. Now you see this:

Everything (Category, Letter, Value, Month) has it’s own column. This is the layout you need so you can:

- use simple formulas
- make a pivot
- upload data into a database

**Renamed Columns**

= Table.RenameColumns(#”Expanded Custom”,{{“Column1”, “Category”}, {“Column2”, “Letter”}, {“Column3”, “Value”}})

Each set (eg {“Column1”, “Category”}) contains the current column name followed by the new name.

**Reordered Columns**

= Table.ReorderColumns(#”Renamed Columns”,{“Month”, “Category”, “Letter”, “Value”})

Simple step of reordering the columns.

**Changed Type**

= Table.TransformColumnTypes(#”Reordered Columns”,{{“Month”, type text}, {“Category”, type text}, {“Letter”, type text}, {“Value”, type number}})

The last step changes the datatypes of the columns (or maybe it simply confirms the datatypes).

**Export Back to Sheet**

In the top left corner you see the **Close & Load** button. After the final transformation step above (Changed Type) he sent the rearranged data back to sheet Power Query.

With the rearranged data sent back to a sheet we’re done but let’s look at the complete M code back in power query. On the ribbon click Home / Advanced Editor. Here it is:

Source = Excel.CurrentWorkbook(){[Name=”RawData”]}[Content],

#”Transposed Table” = Table.Transpose(Source),

#”Filled Down” = Table.FillDown(#”Transposed Table”,{“Column1”}),

TableSplit = Table.Split(#”Filled Down”,3),

#”Converted to Table” = Table.FromList(TableSplit, Splitter.SplitByNothing(), null, null, ExtraValues.Error),

Transpose = Table.AddColumn(#”Converted to Table”, “Custom”, (OT)=> Table.AddColumn( Table.Transpose(Table.RemoveColumns(OT[Column1],{“Column1″})),”Month”, (IT)=> OT[Column1][Column1]{0}) ),

#”Removed Columns” = Table.RemoveColumns(Transpose,{“Column1”}),

#”Expanded Custom” = Table.ExpandTableColumn(#”Removed Columns”, “Custom”, {“Column1”, “Column2”, “Column3”, “Month”}, {“Column1”, “Column2”, “Column3”, “Month”}),

#”Renamed Columns” = Table.RenameColumns(#”Expanded Custom”,{{“Column1”, “Category”}, {“Column2”, “Letter”}, {“Column3”, “Value”}}),

#”Reordered Columns” = Table.ReorderColumns(#”Renamed Columns”,{“Month”, “Category”, “Letter”, “Value”}),

#”Changed Type” = Table.TransformColumnTypes(#”Reordered Columns”,{{“Month”, type text}, {“Category”, type text}, {“Letter”, type text}, {“Value”, type number}})

in

#”Changed Type”

Notice that each step references the previous step. Power Query gurus can modify this menu generated code or even write it directly without using the menus! I’ve tinkered around with it a couple of times. I’ve still got so much to learn.

Thanks again Daniel for sending me your solutions! Daniel shared some of his favorite power query links:

**Key Concept: Split Function:**

https://www.thebiccountant.

https://datachant.com/ –> Gil Raviv

https://blog.crossjoin.co.uk/ –> Chris Webb

https://www.excelguru.ca/ –> Ken Puls

**Bonus Solution**

Daniel just sent me a shorter 7 step solution! Oddly, I can’t upload his zip file but here is his M code:

Source = Excel.CurrentWorkbook(){[Name=”RawData”]}[Content],

#”Transposed Table” = Table.Transpose(Source),

#”Filled Down” = Table.FillDown(#”Transposed Table”,{“Column1”}),

#”Grouped Rows” = Table.Group(#”Filled Down”, {“Column1”}, {{“All”, each Table.Transpose(Table.RemoveColumns(_,{“Column1”})), type table}}),

#”Expanded All” = Table.ExpandTableColumn(#”Grouped Rows”, “All”, {“Column1”, “Column2”, “Column3”}, {“Column1.1”, “Column2”, “Column3”}),

#”Renamed Columns” = Table.RenameColumns(#”Expanded All”,{{“Column1”, “Month”}, {“Column1.1”, “Category”}, {“Column2”, “Letter”}, {“Column3”, “Value”}}),

#”Changed Type” = Table.TransformColumnTypes(#”Renamed Columns”,{{“Month”, type text}, {“Category”, type text}, {“Letter”, type text}, {“Value”, type number}})

in

#”Changed Type”

My name is Kevin Lehrbass. I’m a Data Analyst. I live in Markham Ontario Canada (outside of Toronto).

During this pandemic I’m trying to keep my mind busy. I guess it’s good that I’ve still got so much to learn about Excel and Power BI. Both include Power Query so that’s a bonus.

The post awkward-data/power-query-solution first appeared on My Spreadsheet Lab.]]>

(get my **Excel file**)

A nice normalized dataset would have 4 columns: Category, Month, Letter, Value. But we have this:

Each month has a group of 3 columns. If we had more months this pattern would repeat.

Add values in columns C, F, I for each month/letter combination. The answers look like this:

The key to solving this is finding the pattern in the awkward data layout.

Here are **3 formula solutions** that work on the data as is (no rearranging).

**Solution 1**

Long formula but I love OFFSET even if it’s a bit volatile.

**Solution 2**

An array (requires control shift enter).

**Solution 3**

This is probably my favorite solution. Short and it’s a normal formula (non array).

*Which formula is your favorite?*

*Do you have a better formula solution? (maybe using dynamic arrays?!)*

Rearrange the data so we can create a pivot. It should look like this:

**Power Query**

Can you rearrange this data using **Power Query**?

Your queries would need to adjust if the dataset grows (more months). I’d love to see if it’s possible!

**Formulas**

Well, that’s what we had to do in the old days so you should suffer too!

My file has my solution. It’s backwards compatible to any Excel version (no dynamic arrays).

It’s good practice to normalize using formulas. Note: formulas are in the same sheet as the data. Not a good idea but it’s a demo and it’s easier to read like this. Now we can create a simple pivot table with this data

**VBA**

Of course VBA could rearrange this data. But I’m too lazy to create all those loops right now!

My name is Kevin Lehrbass. I’m a data analyst from Canada.

I saw this awkward dataset just before covid crisis. Things have really changed…but there’s always been awkward data!

I play around with data to keep my mind busy and share ideas with others. I’m hoping that someone can solve this using Power Query. I gave up and went back to formulas.

The post Awkward Data first appeared on My Spreadsheet Lab.]]>

It makes key words standout. Helpful when scanning text. Letters qui are highlighted below.

Follow along with my Excel file (best to save it and then open it). It does contain macros (vba).

The code takes several inputs. Below you see the main 2 inputs. The grey button runs the code.

What is [Color 7]?

I was too lazy to create a list of color names. Column L contains a list you can reference.

The code behind this comes from:

http://dmcritchie.mvps.org/excel/colors.htm#colorindex

My code also includes an option to use a random letter and color. Just for fun!

It searches for all occurences of the search value in a cell. Then it goes to the next cell down and repeats this search. Text length X number of cells determines the time to run.

It’s **dangerous to run this code on thousands of rows as it could take a long time to complete**. Setting Application.ScreenUpdating = FALSE makes it run faster (we don’t see any results until it’s all finished) but it can still be super slow on a large dataset.

A conditional formatting rule (based on a formula) can highlight the entire cell if the search value exists inside it. True, the entire cell would have the color (not just exact text search value) but it’s easier & quicker than a vba solution.

=AND(‘vba Parameters’!$E$32=TRUE,ISNUMBER(SEARCH(‘vba Parameters’!$E$22,A2)))

The AND function contains two parts. Both must evaluate to TRUE in order to trigger the rule.

‘vba Parameters’!$E$32=TRUE

above is a switch to allow you to turn off the rule (even if the 2nd part below is true)

ISNUMBER(SEARCH(‘vba Parameters’!$E$22,A2))

above is the core functionality that looks for the search word inside the current row’s cell (A2).

My name is Kevin Lehrbass. I’m a Data Analyst. I live in Markham Ontario Canada.

A good way to keep my mind busy during these difficult times is to play around in Excel and also in Power BI. Exercising is also good and I’m doing that as well (but it’s not as fun).

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I had to wear my winter coat and toque! The temperature was 2C (36F) but it was also windy. The wind chill “feels like” temperature was -4C (25F). Not really cold for me but it’s almost May! It was up to 12C (54 F) about 10 days ago.

Markham Ontario is in the southern part of Canada. Today the “feels like” wind chill figure was colder than Ottawa, Winnipeg, Quebec City, Edmonton and even Yellowknife!

Wind Chill Temperature = 35.74 + 0.6215×T – 35.75×V^{0.16} + 0.4275×T×V^{0.16}

This formula is from calculator.net It’s the standard wind chill formula for the United States & Canada.

*How does it work?*

T is the air temperature. V is the wind speed in mph. Wind chill “feels like” formula in column F is:

=35.74 + 0.6215*D2 – 35.75*E2^0.16 + 0.4275*D2*E2^0.16

Cell D2 is the temperature in Fahrenheit. Cell E2 is the wind mph (miles per hour). In columns G and H I converted the values to Celsius using Excel’s handy CONVERT function.

Download my Excel file to see the formula in action.

I used theweathernetwork to get the temperature, wind mph, and feels like temperature. I also used the calculator and a double look chart from calculator.net (I recreated this in my Excel file).

Measuring the wind isn’t an exact science. The formula varies per region. From calculator.net:

The perception of lower temperatures caused by wind led to the development of many different formulas that attempt to qualitatively predict the effect of wind on this perceived temperature. Because wind chill temperature is not an exact science, weather services in different countries use standards relevant to their particular region and thus its estimates may differ from those provided by local weather services in other regions.

There’s also an interesting pdf here from journals.ametsoc.org

We’ve had various snow flurries over the past week but most of it melts before it hits the ground. It’s winter’s last stand (at least in the extreme south of Canada).

About 10 days ago it was up to 11 C (52 F). Oh well…it’s back and forth but it will get warmer soon

In Excel I’ve created a dynamic hyperlink to TheWeatherNetwork. Enter your State or Province and then your City. Click the link to see your current weather. It’s probably easier to use google but dynamic hyperlinks are fun! Note that it may not work if you have a state/province or city with spaces. Works great for single words:

https://www.theweathernetwork.com/ca/last-24-hours/ontario/markham

https://www.theweathernetwork.com/us/weather/texas/houston

Here’s an amazing Excel hyperlink resource from contextures.com (Deb lives on the other side on Toronto!).

It’s relative. If you are from a warm climate you’ll think that 10C (50F) is horribly cold. After a long winter that’s a nice day for me but it would be horribly cold in July (my summer) when it should be between 18C and 32C most days. If you are from the north part of Canada you’ll think that I’m a wimp as the winter’s are much colder and last longer!

Last year in July it was so hot & humid one day that I wrote a post about the Heat Index / Humidex.

My name is Kevin Lehrbass. I live in Markham Ontario Canada.

Growing up I was more comfortable using Fahrenheit rather than Celsius. Now after living in the Toronto area for 20 years I’ve converted over to Celsius for cold temperatures but for some strange reason it’s still a bit easier to think in Fahrenheit for warm temperatures.

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