Dont think of me as a perverted spreadsheet user, I like visualizations in any form or shape. There is so much data even about human relationships like love and sex. This article shows 10 of the most visually beautiful and insightful of the infographics on sex and love.
Click on the titles above images to see the detailed site. The links are mostly safe for work, so enjoy the Friday 🙂
1. Charting the Dating Data – Dizzia’s Dates
What happens when you take all your dating data and plot it on a calendar by using icons for what happened during each relationship? Dizzia got curious and did just that. This is an awesome visualization with lot of wit and simplicity. You can quickly tell how long each relationship lasted and what they have done.
2. How does Love look like?
Ever wondered how the emotion Love actually looks? What happens when you try to plot love? Emotionally Vague has conducted surveys on people to find out the color, words, body parts associated with love and plotted this information in the above seen beautiful info-graphic. Very pretty and insightful.
3. Personal sex data goes web2.0 – Bed Posted
Have you ever wondered how your sex life is progressing? Not in an emotional way, but in the way like tracking monthly budget? BedPosted promises to give you insights into your sex life. Whenever you log in just feed little data about your intimate activities to this site and leave it to come up visualizations like one seen above. Another fun way to look at your data.
4. What to say during sex – Flow chart of things to say
This is a funny flow chart of things to say during xxx. Easy to understand and fun to read.
5. What do we search for – Love or Sex? – Google Search Insights
I like the google search insights because they work like a dashboard by providing all critical info in one place. This one works the same way. Looks like the S word beats L word here. The google search insights shows us that when it comes to love western part of the world is searching more for it where as for sex, it is the eastern part which is searching more. Also, the S searches outnumber L searches thrice.
6. What are people loving right now – Twitter tweets on Love
Twistori is more like a social experiment, a window through which you see how humanity (the tweeting kind) is feeling. The above shows a snapshot of what people love. It is a simple text visualization that is pretty to watch.
7. What is the right size?
The above is a very good example of partition chart in which spatial trends are meaningful. It shows preferences of several women plotted to reveal where the pleasure is. Okay, enough detail, I leave it to you to interpret.
8. [NSFW] Who does it most? – Durex sexual well being survey 2007
[NSFW] Durex sexual well being survey is an annual affair in which they reveal trends across the globe. I believe it is part of their business continuity plans. The above shown is a map visualization of sexual frequency across globe. You can see who is busy.
9. [NSFW] Fleshmap – Touching Preferences
Fleshmap [NSFW], which is featured here earlier, is an incredibly cool way to plot intimate data. They have gathered data about touching, looking and listening and plotted it in several creative ways. The site is full of insights. But do not browse from work as some of the charts are pretty graphic.
10. [NSFW] Playboy Centerfold Images – How they have looked from 1960 to 1990
This is clever visualization and art work. Jason Salavon took centerfold images from all the playboy magazines between 1960 and 1990 and scanned these images. Then he normalized the data to create the above images. Even though it doesn’t mean anything on the outset, when you know how the image is generated you would marvel at the thought of it.
Bonus: Viagra sales cartoon
This is as funny as graphs can get.
Like these visualizations? Why don’t you browse some of the coolest visualizations featured here earlier.
Have a great weekend 🙂
30 Responses to “Rescue oddly shaped data – Battle between Formulas, VBA and Power Query”
Nice use of Power Query! Power Query is simply awesome! But somehow a lot of people are punishing themselves by not using it (not learning it).
An imperfect 4th approach for consideration... no codes at all...
Select myrange.
Go to Special --> Blank
Delete Cell --> Shift cell left
90% done... now we just need to move the data of 2nd column to the bottom of 1st column
Of course... Power Query is the best.
Cheers,
There is another way but it involves multiple steps:
Copy the values in column E, move the cursor to F5, Paste Special with Skip Blanks, OK
Copy the values in column D, move the cursor to F8, Paste Special with Skip Blanks, OK
And so on.
This works perfectly, albeit a little clumsily apart from the values in B17 and C16, which can be moved with simple copy and paste
Power Query Forever! I do not know how I survived for so long without knowing and using this tool, I can not recommend it to my colleagues, but by the way they prefer to suffer to learn.
My congratulations here from Brazil.
I rolled my eyes when I saw that data
Using decimal places is a nice trick to order data, thanks for that
And tweaking the first formula a bit, you can use OFFSET instead of INDIRECT
=OFFSET($A$1, MIN(IF(myrange, ROW(myrange)), ROWS(A$1:A1))-1, RIGHT(TEXT(MIN(IF(myrange, ROW(myrange) + COLUMN(myrange)*0.00001), ROWS(A$1:A1)), ".00000"), 5)-1)
Tried the above formula with the downloaded oddly shaped data file and I could not get it to work. I get #value without ctrl+shift+enter, and #ref with ctrl+shift+enter.
Sorry, it was SMALL, not MIN.
Add with CTRL+SHIFT+ENTER.
Thank you for your formula. Like the indirect formula I tested this one in older versions of EXCEL and it worked without ALTERATION in EXCEL 95. Very impressive.
Too complicated
Use =Sum to summarize all the sells to the left and Bobs Your Uncle
@Bertie... I am afraid that won't work when you have more than one value in a row.
I tested this formula in versions of Excel all the way back to Excel 95
=IF(ISERROR(INDIRECT("R"&SUBSTITUTE(TEXT(SMALL(IF(MyRange"",ROW(MyRange)+COLUMN(MyRange)*0.00001),ROWS(A$1:A9)),"00000.00000"),".","C"),FALSE)),"",(INDIRECT("R"&SUBSTITUTE(TEXT(SMALL(IF(MyRange"",ROW(MyRange)+COLUMN(MyRange)*0.00001),ROWS(A$1:A9)),"00000.00000"),".","C"),FALSE)))
So there are multiple ways of cleaning up messy data by formulas.
Wow.. Excel 95. Who knew people still use that. But as you have shown, Excel has all these beautiful and powerful functions for 23 years. It has data sciency stuff before DS was even a thing.
I had a problem with pasting the formula in the original post.
Formula should be: =IF(ISERROR(INDIRECT("R"&SUBSTITUTE(TEXT(SMALL(IF(myrange"",ROW(myrange)+COLUMN(myrange)*0.00001),ROWS(A$1:A1)),"00000.00000"),".","C"),FALSE)),"",(INDIRECT("R"&SUBSTITUTE(TEXT(SMALL(IF(myrange"",ROW(myrange)+COLUMN(myrange)*0.00001),ROWS(A$1:A1)),"00000.00000"),".","C"),FALSE)))
EXCEL even in a 16 bit version, is a very robust and capable program.
I don't like the VBA code. If you have a blank row in MyRange, the last entry in the range is doubled up in the paste.here range.
Not really. The macro is writing one cell at a time from paste.here. You have to clean the range before, which I was too lazy to write. But a line like Range(range("paste.here"), range("paste.here").end(xldown)).clearcontents should do the trick.
Adding Range(range("paste.here"), range("paste.here").end(xldown)).clearcontents fixed the problem.
for step split column by delimiter i am not getting option of split into rows or columns. Can you help me in this
Thanks Chandoo for promoting Power Query.
To simplify further, you can "Unpivot Columns" instead of right click on the newly created column and split it by comma in to rows in step 3 of Power Query.
i used
=LOOKUP(10000,B5:F5)
and got the answers. I just plagiarized this formula somewhere and use it, maybe you can explain why it works.
Regards
@Johan... I am not sure if the formula works correctly. When I tested it with the sample data in this post, it showed #N/As in two cells. Essentially, it will only give first value in each row. So if a row has multiple values, then subsequent values are missed. LOOKUP() function goes thru a list and finds the first value that is less than or equal to the input - in this case 10000 in B5:F5.
I have the need to convert pdf's to excel on occasion and they often come out a mess like this. I have used:
Cell G2 =COUNT(myrange)
Cell G3 =IFERROR(IF(G2-1<1,"",G2-1),"") copied down to G100
Cell H2 =IFERROR(LARGE(myrange,G2),"") copied down to H100
Waouw...
=IFERROR(INDIRECT("R" & SUBSTITUTE(TEXT(SMALL(IF(myrange "", ROW(myrange) + COLUMN(myrange)*0.00001),
ROWS(A$1:A1)), "00000.00000"), ".", "C"), FALSE), "")
but CTRL Shift Enter with {} before and after 🙂 😀
Here's a way with pivot table
https://www.bookkempt.com/2018/02/aligning-non-contiguous-data.html
This is brilliant. Bookmarked 🙂
Another possibility.
This assumes that you have a row index 'k' to use in the SMALL function and a column index 'h' to identify the columns of 'myRange'.
If you define 'coord' to refer to
=k+h/10 [assuming h<10]
then it will be possible to recover values later based upon location within 'myRange'. The formula 'nb' that identifies non-blanks by coordinates is given by
= SMALL( IF(myRange"", coord), k )
Finally, to unpick the pieces
= INDEX( myRange, INT(nb), 10*MOD(nb, 1) )
Whilst I am here and making trouble the PQ solution is also a tad over-complicated. All that is needed is to unpivot the entire table and remove the Attribute column.
The advanced editor would show
let
Source = Excel.CurrentWorkbook(){[Name="myRange"]}[Content],
#"Unpivoted Columns" = Table.UnpivotOtherColumns(Source, {}, "Attribute", "Value"),
#"Removed Columns" = Table.RemoveColumns(#"Unpivoted Columns",{"Attribute"})
in
#"Removed Columns"
1.fill the blank cells with 0
2.the requested column value=sum of those mess number column
but this can be used in only one column has value
Chandoo
And if we use the formula SEARCH (100000000, B5: F5)
JC
Another approach with Power Query, it will still work if the number of columns changed:
let
Source = Excel.CurrentWorkbook(){[Name="myrange"]}[Content],
#"Added Custom" = Table.AddColumn(Source, "List", each Record.ToList(_)),
#"Removed Other Columns" = Table.SelectColumns(#"Added Custom",{"List"}),
#"Expanded LIst" = Table.ExpandListColumn(#"Removed Other Columns", "List"),
#"Filtered Rows" = Table.SelectRows(#"Expanded LIst", each ([List] null))
in
#"Filtered Rows"
Cool idea to use Record.ToList as added column. Thanks for sharing this.
Nowadays, you can just use TOCOL on Excel 2024, MS 365, and Web Excel. It has a parameter to ignore blanks/errors/both.