Conditonal format pivot table based on comparing two values

Seabee1

New Member
Joined
Feb 19, 2018
Messages
7
hello, working on a pivot table conditional formatting and need help.
I want to compare each month AVG CPH to previous month and if greater format green and less format red.
for example in February NTX cph was higher than January so that would be green and WTX in February is lower than January so that should be red. any help for this would be appreciated. thank you.
[TABLE="width: 988"]
<colgroup><col width="92" style="width: 69pt; mso-width-source: userset; mso-width-alt: 3364;"> <col width="136" style="width: 102pt; mso-width-source: userset; mso-width-alt: 4973;" span="8"> <col width="137" style="width: 103pt; mso-width-source: userset; mso-width-alt: 5010;"> <tbody>[TR]
[TD="width: 92, bgcolor: transparent"][/TD]
[TD="width: 136, bgcolor: transparent"][/TD]
[TD="width: 136, bgcolor: transparent"][/TD]
[TD="width: 136, bgcolor: transparent"][/TD]
[TD="width: 136, bgcolor: transparent"][/TD]
[TD="width: 136, bgcolor: transparent"][/TD]
[TD="width: 136, bgcolor: transparent"][/TD]
[TD="width: 136, bgcolor: transparent"][/TD]
[TD="width: 136, bgcolor: transparent"][/TD]
[TD="width: 137, bgcolor: transparent"][/TD]
[/TR]
[TR]
[TD="class: xl68"] [/TD]
[TD="class: xl77"]MONTH [/TD]
[TD="class: xl75"]Values[/TD]
[TD="class: xl75"] [/TD]
[TD="class: xl76"] [/TD]
[TD="class: xl77"] [/TD]
[TD="class: xl76"] [/TD]
[TD="class: xl75"] [/TD]
[TD="class: xl76"] [/TD]
[TD="class: xl77"] [/TD]
[/TR]
[TR]
[TD="class: xl69"] [/TD]
[TD]January[/TD]
[TD]January[/TD]
[TD]February[/TD]
[TD]February[/TD]
[TD]March[/TD]
[TD]March[/TD]
[TD]April[/TD]
[TD]April[/TD]
[TD]Total AVG Efficiency[/TD]
[/TR]
[TR]
[TD="class: xl74, width: 92"]MU[/TD]
[TD="class: xl65"]AVG Efficiency[/TD]
[TD="class: xl66"]AVG CPH[/TD]
[TD="class: xl65"]AVG Efficiency[/TD]
[TD="class: xl66"]AVG CPH[/TD]
[TD="class: xl65"]AVG Efficiency[/TD]
[TD="class: xl66"]AVG CPH[/TD]
[TD="class: xl65"]AVG Efficiency[/TD]
[TD="class: xl66"]AVG CPH[/TD]
[TD="class: xl82"] [/TD]
[/TR]
[TR]
[TD="class: xl65, bgcolor: transparent"]NTX[/TD]
[TD="class: xl73, bgcolor: transparent, align: right"]114.45%[/TD]
[TD="class: xl78, bgcolor: transparent, align: right"]190.22[/TD]
[TD="class: xl72, bgcolor: transparent, align: right"]124.20%[/TD]
[TD="class: xl78, bgcolor: transparent, align: right"]328.70[/TD]
[TD="class: xl72, bgcolor: transparent, align: right"]121.41%[/TD]
[TD="class: xl78, bgcolor: transparent, align: right"]207.40[/TD]
[TD="class: xl72, bgcolor: transparent, align: right"]115.20%[/TD]
[TD="class: xl78, bgcolor: transparent, align: right"]192.59[/TD]
[TD="class: xl72, bgcolor: transparent, align: right"]118.86%[/TD]
[/TR]
[TR]
[TD="class: xl69, bgcolor: transparent"]OKMU[/TD]
[TD="class: xl67, bgcolor: transparent"] [/TD]
[TD="class: xl70, bgcolor: transparent"][/TD]
[TD="class: xl71, bgcolor: transparent"][/TD]
[TD="class: xl70, bgcolor: transparent"][/TD]
[TD="class: xl71, bgcolor: transparent"][/TD]
[TD="class: xl70, bgcolor: transparent"][/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]58.44%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]91.29[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]58.44%[/TD]
[/TR]
[TR]
[TD="class: xl69, bgcolor: transparent"]SCTX[/TD]
[TD="class: xl67, bgcolor: transparent, align: right"]104.55%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]164.50[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]104.87%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]165.23[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]105.13%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]194.94[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]102.55%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]161.38[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]104.30%[/TD]
[/TR]
[TR]
[TD="class: xl69, bgcolor: transparent"]SETX[/TD]
[TD="class: xl67, bgcolor: transparent, align: right"]160.28%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]258.37[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]154.81%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]275.32[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]100.10%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]170.19[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]175.05%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]276.24[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]146.93%[/TD]
[/TR]
[TR]
[TD="class: xl69, bgcolor: transparent"]WTX[/TD]
[TD="class: xl67, bgcolor: transparent, align: right"]101.08%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]163.76[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]100.71%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]163.14[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]97.48%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]161.27[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]90.49%[/TD]
[TD="class: xl70, bgcolor: transparent, align: right"]147.68[/TD]
[TD="class: xl71, bgcolor: transparent, align: right"]97.49%[/TD]
[/TR]
[TR]
[TD="class: xl65"]Grand Total[/TD]
[TD="class: xl79, align: right"]125.21%[/TD]
[TD="class: xl80, align: right"]202.30[/TD]
[TD="class: xl81, align: right"]126.16%[/TD]
[TD="class: xl80, align: right"]241.89[/TD]
[TD="class: xl81, align: right"]105.94%[/TD]
[TD="class: xl80, align: right"]183.58[/TD]
[TD="class: xl81, align: right"]123.78%[/TD]
[TD="class: xl80, align: right"]198.16[/TD]
[TD="class: xl81, align: right"]120.08%[/TD]
[/TR]
</tbody>[/TABLE]
 

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[Table="width:, class:head"][tr=bgcolor:#E0E0F0][th] [/th][th]
A
[/th][th]
B
[/th][th]
C
[/th][th]
D
[/th][th]
E
[/th][th]
F
[/th][th]
G
[/th][th]
H
[/th][th]
I
[/th][th]
J
[/th][th]
K
[/th][/tr]
[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
1
[/td][td]MONTH[/td][td]Values[/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
2
[/td][td][/td][td]January[/td][td]January[/td][td]February[/td][td]February[/td][td]March[/td][td]March[/td][td]April[/td][td]April[/td][td]Total AVG Efficiency[/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
3
[/td][td]MU[/td][td]AVG Efficiency[/td][td]AVG CPH[/td][td]AVG Efficiency[/td][td]AVG CPH[/td][td]AVG Efficiency[/td][td]AVG CPH[/td][td]AVG Efficiency[/td][td]AVG CPH[/td][td][/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
4
[/td][td]NTX[/td][td]
114.45%​
[/td][td]
190.22​
[/td][td=bgcolor:#92D050]
124.20%​
[/td][td=bgcolor:#92D050]
328.7​
[/td][td=bgcolor:#FF0000]
121.41%​
[/td][td=bgcolor:#FF0000]
207.4​
[/td][td=bgcolor:#FF0000]
115.20%​
[/td][td=bgcolor:#FF0000]
192.59​
[/td][td]
118.86%​
[/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
5
[/td][td]OKMU[/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td=bgcolor:#92D050]
58.44%​
[/td][td=bgcolor:#92D050]
91.29​
[/td][td]
58.44%​
[/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
6
[/td][td]SCTX[/td][td]
104.55%​
[/td][td]
164.5​
[/td][td=bgcolor:#92D050]
104.87%​
[/td][td=bgcolor:#92D050]
165.23​
[/td][td=bgcolor:#92D050]
105.13%​
[/td][td=bgcolor:#92D050]
194.94​
[/td][td=bgcolor:#FF0000]
102.55%​
[/td][td=bgcolor:#FF0000]
161.38​
[/td][td]
104.30%​
[/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
7
[/td][td]SETX[/td][td]
160.28%​
[/td][td]
258.37​
[/td][td=bgcolor:#FF0000]
154.81%​
[/td][td=bgcolor:#92D050]
275.32​
[/td][td=bgcolor:#FF0000]
100.10%​
[/td][td=bgcolor:#FF0000]
170.19​
[/td][td=bgcolor:#92D050]
175.05%​
[/td][td=bgcolor:#92D050]
276.24​
[/td][td]
146.93%​
[/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
8
[/td][td]WTX[/td][td]
101.08%​
[/td][td]
163.76​
[/td][td=bgcolor:#FF0000]
100.71%​
[/td][td=bgcolor:#FF0000]
163.14​
[/td][td=bgcolor:#FF0000]
97.48%​
[/td][td=bgcolor:#FF0000]
161.27​
[/td][td=bgcolor:#FF0000]
90.49%​
[/td][td=bgcolor:#FF0000]
147.68​
[/td][td]
97.49%​
[/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
9
[/td][td]Grand Total[/td][td]
125.21%​
[/td][td]
202.3​
[/td][td=bgcolor:#92D050]
126.16%​
[/td][td=bgcolor:#92D050]
241.89​
[/td][td=bgcolor:#FF0000]
105.94%​
[/td][td=bgcolor:#FF0000]
183.58​
[/td][td=bgcolor:#92D050]
123.78%​
[/td][td=bgcolor:#92D050]
198.16​
[/td][td]
120.08%​
[/td][td][/td][/tr]


[tr=bgcolor:#FFFFFF][td=bgcolor:#E0E0F0]
10
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]
[/table]
[Table="width:, class:grid"][tr][td]Sheet: Sheet25[/td][/tr][/table]


Green conditional formatting formula applied to cell range D4:I9:
=B4<d4[ code]<d4
less than sign D4
Red conditional formatting formula applied to cell range D4:I9:
=B4>D4 </d4[>
 
Last edited:
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