So I am trying to set up a conditional formatting custom function that will highlight the cell in question if a certain range on another spreadsheet contains any blank cells up to the last row of that spreadsheet. Can I write this as a formula for conditional formatting? Any help would be appreciated, thank you.
I tried:
=IF(COUNTBLANK(IMPORTRANGE(Index!$C9,"report.csv!E:F")))>0
when referencing another sheet in conditional formatting you need to use INDIRECT()
try:
=IF(COUNTBLANK(IMPORTRANGE(INDIRECT("Index!$C9"), "report.csv!E:F"))>0, 1)
Related
I'm trying to make a conditional formatting statement based on if a cell is filled with text on another sheet.
For example:
Sheet1 needs to change color of the cell A1 to blue if Sheet2 has text in cell A1
I used a couple of techniques as suggested in other stackoverflow questions, such as:
Conditional Formatting from another sheet (I cant find out how to do some sort of regexmatch in this statement)
I thought of some sort of line as (as a custom formula in conditional formatting):
A1(REGEXMATCH(INDIRECT(Sheet2!A1), ""),1 ,0))
but that doesnt work.
Hope someone can help me with this!
try:
=A1=NOT(ISBLANK(INDIRECT("Sheet2!A1")))
So I have to do some conditional formatting for a google spread sheet. Essentially I need to ensure that of a set of data, all of the census tracts that exist in the county need. I want to use conditional formatting to automatically highlight all of the tracts that is in the data set that don't exist in the county. I have a long chain of regex that is not working right now but it contains the data set of tracts that exist in the county. Any suggestions for better solutions would be great.
=NOT(REGEXMATCH(G1,"^(?:5001|5002|5003|5004|5005|5006|5008|5009.01|5009.02|5010|5011.01|5011.02|5012|5013|5014.01|5014.02|5015.01|5015.02|5016|5017|5018|5019|5020.01|5020.02|5021.01|5021.02|5022.01|5022.02|5023.01|5023.02|5024|5025|5026.01|5026.03|5026.04|5027.01|5027.02|5028|5029.01|5029.02|5029.03|5029.06|5029.07|5029.08|5029.09|5029.10|5030.01|5030.02|5030.03|5031.05|5031.08|5031.10|5031.11|5031.12|5031.13|5031.15|5031.16|5031.17|5031.18|5031.21|5031.22|5031.23|5032.04|5032.07|5032.08|5032.10|5032.11|5032.12|5032.13|5032.14|5032.17|5032.18|5033.04|5033.05|5033.06|5033.12|5033.13|5033.15|5033.21|5033.22|5033.23|5033.24|5033.25|5033.26|5033.27|5033.29|5033.30|5033.31|5033.32|5033.33|5033.34|5033.36|5033.37|5034.01|5034.02|5035.04|5035.06|5035.07|5035.08|5035.09|5035.10|5035.11|5036.01|5036.02|5037.03|5037.07|5037.08|5037.09|5037.10|5037.11|5037.12|5037.13|5038.02|5038.03|5038.04|5039.02|5039.03|5040.01|5040.02|5041.01|5041.02|5042.01|5042.02|5043.07|5043.08|5043.11|5043.14|5043.15|5043.16|5043.17|5043.18|5043.19|5043.20|5043.21|5043.22|5043.23|5044.10|5044.11|5044.12|5044.13|5044.14|5044.15|5044.16|5044.17|5044.18|5044.20|5044.21|5044.22|5044.23|5045.04|5045.05|5045.06|5045.07|5046.01|5046.02|5047|5048.02|5048.03|5048.05|5048.06|5049.01|5050.01|5050.06|5050.07|5050.08|5050.09|5051|5052.02|5052.03|5053.01|5053.02|5053.03|5053.04|5053.05|5054.01|5054.02|5054.03|5055|5056|5057|5058|5059|5060|5061.01|5061.02|5061.03|5062.02|5062.03|5062.04|5063.01|5063.02|5063.04|5063.05|5064.01|5064.02|5065.01|5065.02|5065.03|5066.01|5066.03|5066.04|5066.05|5066.06|5067.01|5067.02|5067.03|5068.01|5068.02|5068.03|5068.04|5069|5070.01|5070.02|5071|5072.03|5072.05|5072.06|5073.01|5073.02|5074.01|5074.02|5075|5076|5077.01|5077.02|5077.03|5078.05|5078.06|5078.07|5078.08|5079.03|5079.04|5079.05|5079.06|5080.01|5080.03|5080.04|5081.01|5081.02|5082.02|5082.03|5082.04|5083.01|5083.03|5083.04|5084.01|5084.03|5084.04|5085.03|5085.04|5085.05|5085.07|5085.08|5086.01|5086.02|5087.03|5087.04|5088|5089|5090|5091.02|5091.05|5091.06|5091.07|5091.08|5091.09|5092.01|5092.02|5093.02|5093.03|5093.04|5094.01|5094.03|5094.04|5095|5096|5097|5098.01|5098.02|5099.01|5099.02|5100.01|5100.02|5101|5102|5103|5104|5105|5106|5107|5108.01|5108.02|5108.03|5109|5110|5111|5112|5113.01|5113.02|5114|5115|5116.08|5116.09|5117.01|5117.02|5117.04|5117.05|5117.07|5118|5119.05|5119.07|5119.09|5119.10|5119.11|5119.12|5119.13|5119.14|5119.15|5119.16|5120.01|5120.05|5120.17|5120.19|5120.20|5120.21|5120.22|5120.23|5120.24|5120.25|5120.26|5120.27|5120.29|5120.30|5120.31|5120.32|5120.33|5120.34|5120.35|5120.36|5120.37|5120.38|5120.39|5120.42|5120.43|5120.45|5120.47|5120.52|5120.53|5121|5122|5123.05|5123.07|5123.08|5123.09|5123.10|5123.11|5123.12|5123.13|5123.14|5124.01|5124.02|5125.03|5125.05|5125.06|5125.08|5125.09|5125.10|5126.02|5126.03|5126.04|5130|5135)$"))
This does not seem like a good use of regex. You should embed that list somewhere in the spreadsheet and then in your conditional formula use a vlookup inside an isna to deliver a true/false whether it is in the list.
Unfortunately, Google Sheets does not allow the conditional formula to reference off-sheet ranges, so you'll have to keep both lists on the same sheet.
I need to filter column A to see which cells end with values like .com/,.org/,.co.uk/, etc
Instead of filtering by "text ends with" dozens or hundreds of times, is there a way to combine all of these into one custom formula?
try this custom formula for:
filter view
conditional formatting
data validation
=REGEXMATCH(A1, ".com/$|.org/$|.co.uk/$")
IF(ISNA(VLOOKUP(Table1,Table2,1,FALSE)),"No","Yes")
I want compare all the columns for two tables within a single excel sheet and I used the above formula but somehow the formula always gives "Yes" irrespective of whether the values match or not. Can someone please help me out to get correct comparison results.'
Thanks
Please see the snapshot below
Formula will be as below. Kindly take this as example and work out as per your wish.
=IF(VLOOKUP(G1,$A$1:$B$7,2,FALSE)=VLOOKUP(G1,$D$1:$E$7,2,FALSE),"Same","Different")
Is it possible to remove repeating text data in a Google visualization chart table?Looking for quick suggestions
FYI Following is an example of my question.!
In the column 'Test Plan Name'..I want to remove the repeating names... Can it possible?
Thank You
http://i.stack.imgur.com/bKjk7.jpg
As far as I searched I couldn't find any option to eliminate duplicate values. But we can count the null and duplicate values.Also we can perform joins,avg,sum,min,max on a google table chart's column values.
This documentation explains about this. Hope this will help you.