Computer Error Fixer: conditional formatting for large sample data Tech Support

conditional formatting for large sample data

Morning all,

I have a problem in that conditional formatting only accepts 256 characters per rule.

I have used the following formula successfully on a smaller sample:
=OR(AND(A3>=$P$16,A3<=$Q$16),AND(A3>=$P$20,A3<=$Q$20),AND(A3>=$P$23,A3<=$Q$23),AND(A3>=$P$30,A3<=$Q$30),AND(A3>=$W$24,A3<=$X$24),AND(A3>=$W$31,A3<=$X$31))

this looks up six date ranges and formats the cell A3 if the date is found.

P16 = 28-04-12 : P16 = 29-04-12
P23 = 13-07-12 : P23 = 02-09-12
W24 = 13-07-13 : X24 = 02-09-13 for instance.

This is for one season (price band) in a hotel occurring 6 times, There are 7 different seasons and so 7 different rules covering two years, making the formula in each cell quite bloated.

However the next hotel has 4 or 5 seasons, with up to 32 date ranges for each season (mostly weekend/week but not exclusively).
So the formula as above does not work for this large a sample.

What I am trying to achieve ..
I have a set of dates for each hotel that covers 2012 and 2013.
If the arrival date is entered in cell A34, it looks up the price range table and depending on the date found, changes the format of cell A34 (red for HI season,
blue for LO season, etc)

I am looking for a way to simplify the above code to be used in a larger sample data

The actual date range table for one hotel is listed below.
Any ideas how to achieve this as simply as possible greatly appreciated.
Andy

Q36 = 31-12-11
T36 = =SUM(P37-Q36)
P37 = 01-01-12
R37 = band name
S37 = =SUM(Q37-P37)+1
T37 = =SUM(P38-Q37)

31-12-11 1
01-01-12 09-01-12 LO 9 1
10-01-12 12-01-12 ST 3 1
13-01-12 15-01-12 WE 3 1
16-01-12 19-01-12 ST 4 1
20-01-12 22-01-12 WE 3 1
23-01-12 26-01-12 ST 4 1
27-01-12 29-01-12 WE 3 1
30-01-12 02-02-12 ST 4 1
03-02-12 05-02-12 WE 3 1
06-02-12 09-02-12 ST 4 1
10-02-12 12-02-12 WE 3 1
13-02-12 16-02-12 HI 4 1
17-02-12 19-02-12 WE 3 1
20-02-12 23-02-12 ST 4 1
24-02-12 26-02-12 WE 3 1
27-02-12 01-03-12 ST 4 1
02-03-12 04-03-12 WE 3 1
05-03-12 08-03-12 ST 4 1
09-03-12 11-03-12 WE 3 1
12-03-12 15-03-12 ST 4 1
16-03-12 18-03-12 WE 3 1
19-03-12 22-03-12 HI 4 1
23-03-12 25-03-12 WE 3 1
26-03-12 29-03-12 ST 4 1
30-03-12 01-04-12 WE 3 1
02-04-12 05-04-12 HI 4 1
06-04-12 08-04-12 WE 3 1
09-04-12 12-04-12 ST 4 1
13-04-12 15-04-12 WE 3 1
16-04-12 19-04-12 ST 4 1
20-04-12 22-04-12 WE 3 1
23-04-12 26-04-12 ST 4 1
27-04-12 13-05-12 LO 17
1
14-05-12 17-05-12 ST 4 1
18-05-12 20-05-12 WE 3 1
21-05-12 24-05-12 ST 4 1
25-05-12 27-05-12 WE 3 1
28-05-12 31-05-12 HI 4 1
01-06-12 03-06-12 WE 3 1
04-06-12 07-06-12 ST 4 1
08-06-12 10-06-12 WE 3 1
11-06-12 14-06-12 ST 4 1
15-06-12 17-06-12 WE 3 1
18-06-12 21-06-12 ST 4 1
22-06-12 24-06-12 WE 3 1
25-06-12 28-06-12 HI 4 1
29-06-12 19-08-12 LO 52
1
20-08-12 23-08-12 ST 4 1
24-08-12 26-08-12 WE 3 1
27-08-12 30-08-12 ST 4 1
31-08-12 02-09-12 WE 3 1
03-09-12 06-09-12 ST 4 1
07-09-12 09-09-12 WE 3 1
10-09-12 14-09-12 HI 5 1
15-09-12 16-09-12 WE 2 1
17-09-12 20-09-12 ST 4 1
21-09-12 23-09-12 WE 3 1
24-09-12 27-09-12 ST 4 1
28-09-12 30-09-12 WE 3 1
01-10-12 04-10-12 ST 4 1
05-10-12 07-10-12 WE 3 1
08-10-12 12-10-12 HI 5 1
13-10-12 14-10-12 WE 2 1
15-10-12 18-10-12 ST 4 1
19-10-12 21-10-12 WE 3 1
22-10-12 25-10-12 ST 4 1
26-10-12 28-10-12 WE 3 1
29-10-12 01-11-12 ST 4 1
02-11-12 04-11-12 WE 3 1
05-11-12 08-11-12 ST 4 1
09-11-12 11-11-12 WE 3 1
12-11-12 15-11-12 ST 4 1
16-11-12 18-11-12 WE 3 1
19-11-12 23-11-12 HI 5 1
24-11-12 25-11-12 WE 2 1
26-11-12 29-11-12 ST 4 1
30-11-12 02-12-12 WE 3 1
03-12-12 07-12-12 HI 5 1
08-12-12 09-12-12 WE 2 1
10-12-12 13-12-12 ST 4 1
14-12-12 16-12-12 WE 3 1
17-12-12 20-12-12 ST 4 1
21-12-12 31-12-12 LO 11
1
01-01-13

89 127 110 40

31-12-12 1
01-01-13 13-01-13 LO 13
1
14-01-13 27-01-13 SH 14
1
28-01-13 31-01-13 ST 4 1
01-02-13 03-02-13 WE 3 1
04-02-13 07-02-13 ST 4 1
08-02-13 10-02-13 WE 3 1
11-02-13 14-02-13 HI 4 1
15-02-13 17-02-13 WE 3 1
18-02-13 21-02-13 ST 4 1
22-02-13 24-02-13 WE 3 1
25-02-13 28-02-13 ST 4 1
01-03-13 03-03-13 WE 3 1
04-03-13 07-03-13 ST 4 1
08-03-13 10-03-13 WE 3 1
11-03-13 14-03-13 ST 4 1
15-03-13 17-03-13 WE 3 1
18-03-13 21-03-13 HI 4 1
22-03-13 24-03-13 WE 3 1
25-03-13 28-03-13 ST 4 1
29-03-13 31-03-13 WE 3 1
01-04-13 04-04-13 HI 4 1
05-04-13 07-04-13 WE 3 1
08-04-13 11-04-13 ST 4 1
12-04-13 14-04-13 WE 3 1
15-04-13 18-04-13 ST 4 1
19-04-13 21-04-13 WE 3 1
22-04-13 25-04-13 ST 4 1
26-04-13 12-05-13 WE 17
1
13-05-13 16-05-13 ST 4 1
17-05-13 19-05-13 WE 3 1
20-05-13 23-05-13 ST 4 1
24-05-13 26-05-13 WE 3 1
27-05-13 30-05-13 HI 4 1
31-05-13 02-06-13 WE 3 1
03-06-13 06-06-13 ST 4 1
07-06-13 09-06-13 WE 3 1
10-06-13 13-06-13 ST 4 1
14-06-13 16-06-13 WE 3 1
17-06-13 20-06-13 ST 4 1
21-06-13 23-06-13 WE 3 1
24-06-13 27-06-13 HI 4 1
28-06-13 11-08-13 WE 45
1
12-08-13 15-08-13 ST 4 1
16-08-13 25-08-13 WE 10
1
26-08-13 29-08-13 ST 4 1
30-08-13 01-09-13 WE 3 1
02-09-13 05-09-13 ST 4 1
06-09-13 08-09-13 WE 3 1
09-09-13 12-09-13 ST 4 1
13-09-13 15-09-13 WE 3 1
16-09-13 19-09-13 HI 4 1
20-09-13 22-09-13 WE 3 1
23-09-13 26-09-13 ST 4 1
27-09-13 30-09-13 WE 4 1
01-10-13 03-10-13 ST 3 1
04-10-13 06-10-13 WE 3 1
07-10-13 10-10-13 HI 4 1
11-10-13 13-10-13 WE 3 1
14-10-13 17-10-13 ST 4 1
18-10-13 20-10-13 WE 3 1
21-10-13 24-10-13 ST 4 1
25-10-13 27-10-13 WE 3 1
28-10-13 31-10-13 ST 4 1
01-11-13 03-11-13 WE 3 1
04-11-13 07-11-13 ST 4 1
08-11-13 10-11-13 WE 3 1
11-11-13 14-11-13 ST 4 1
15-11-13 17-11-13 WE 3 1
18-11-13 21-11-13 HI 4 1
22-11-13 24-11-13 WE 3 1
25-11-13 28-11-13 ST 4 1
29-11-13 01-12-13 WE 3 1
02-12-13 05-12-13 HI 4 1
06-12-13 08-12-13 WE 3 1
09-12-13 12-12-13 ST 4 1
13-12-13 15-12-13 WE 3 1
16-12-13 19-12-13 ST 4 1
20-12-13 31-12-13 WE 12
1
01-01-14
13 14 115 187 36

(I am using http://answers.microsoft.com/ and can not see an option to upload a file)

Anwsers to the Problem conditional formatting for large sample data

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One way you can do it is to create a lookup table to allocate a code number (1,2,3,4) to each of your season values. Add an extra column to your dates table and use VLOOKUP to mark each date with 1,2,3,4 depending on whether it is HI, LO, WE or ST. For
this example I'm assuming my start dates are in cells P1:P50, end dates are in Q1:Q50 and the codes representing the season are in U1:U50, I've used HI=1, LO=2, WE=3, ST=4. To set the conditional formatting, highlight your booking dates and use the following
formula to highlight the ones where the value is 1 for HI (I'm assuming the booking dates are in cells A2 downwards):

=SUMPRODUCT((A2>=$P$1:$P$50)*(A2<=$Q$1:$Q$50)*($U$1:$U$50))=1

Create similar rules for the other codes as required.

Manually editing the Windows registry

Manually editing the Windows registry to remove invalid MACHINE_CHECK_EXCEPTION keys is not recommended unless you are PC service professional. Incorrectly editing your registry can stop your PC from functioning and create irreversible damage to your operating system. In fact, one misplaced comma can prevent your PC from booting entirely!

Caution: Unless you an advanced PC user, we DO NOT recommend editing the Windows registry manually. Using Registry Editor incorrectly can cause serious problems that may require you to reinstall Windows. We do not guarantee that problems resulting from the incorrect use of Registry Editor can be solved. Use Registry Editor at your own risk.

To manually repair your Windows registry, first you need to create a backup by exporting a portion of the registry related to MACHINE_CHECK_EXCEPTION (eg. Windows Operating System):

Click the Start button.
Type "command" in the search box... DO NOT hit ENTER yet!
While holding CTRL-Shift on your keyboard, hit ENTER.
You will be prompted with a permission dialog box.
Click Yes.
A black box will open with a blinking cursor.
Type "regedit" and hit ENTER.
In the Registry Editor, select the Error 0x9C-related key (eg. Windows Operating System) you want to back up.
From the File menu, choose Export.
In the Save In list, select the folder where you want to save the Windows Operating System backup key.
In the File Name box, type a name for your backup file, such as "Windows Operating System Backup".
In the Export Range box, be sure that "Selected branch" is selected.
Click Save.
The file is then saved with a .reg file extension.
You now have a backup of your MACHINE_CHECK_EXCEPTION-related registry entry.

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Wednesday, September 21, 2016

conditional formatting for large sample data Tech Support

conditional formatting for large sample data

Anwsers to the Problem conditional formatting for large sample data

Another Safe way to Repair the Problem: conditional formatting for large sample data:

How to Fix conditional formatting for large sample data with SmartPCFixer?

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