i'm trying to search for different terms in Microsoft Outlook and combine them by "OR"-Criteria, but Exchange won't take it.
Let's assume I have 10 Mails which fit the Searchterm "from:example.com" and 5 Mails fitting the Term "category:=red" with only two mails fitting both criteria.
I haven't found a searchterm which merges these two results (and give me 13 Mails back), I was only cappable to combine them into an "AND"-Logic, giving back the two "overlapping" Mails, which won't fit my needs.
Combining these two terms into "from:example.com OR category:=red" has no effect and I'm not sure if this combination is even possible.
Does anyone has an advise for me?
Thank you :-)
Related
Don't laugh, but, from time to time, my friends and I host a multiple-course KFC dinner, and I have a spreadsheet to optimise the order. This is to make sure we order the right combination of 'bucket'-type items (i.e. SKUs that contain multiple pieces, often of different types):
to minimise leftover items
to reduce the total cost
Here is the spreadsheet I currently use, and here's a screenshot:
To use it, you first specify the number of participants in A2, and what you want each person to have in E2:E6 (we're really only interested in the chicken, so 'sides' are treated as generic to simplify).
Here's the manual part, that I'd like to improve.
The next step is to look at the ideal totals for each item (F2:F6), and to try to set the right quantities (H12:H20) of the 'bucket'-type SKUs that I have recreated (A11:G20), so that the output totals (H21:M21) match the ideal totals (F2:F6).
The optimisation part is to get the deltas (H22:M22) as close to zero as possible, and to get the total cost (N21) as low as possible.
So, my question is: is there a way to do this better? I think Excel has some sort of Solver functionality, but I'm afraid I don't know how I'd go about even starting to use that, as my Excel skills are pretty rudimentary. Oh, and in case it makes a difference regarding functionality, I'm using Excel for Mac v16.37.
Any thoughts gratefully appreciated! :)
I can't take any credit for this, but am happy to say that GSerg left me a couple of comments that pointed me in the right direction, and I now have Solver set up to organise my chicken parties!
Here are the parameters for anyone who is curious:
Preliminary
This question applies to any spreadsheet system. I would like help in breaking down the problem, as opposed to an answer to the problem. (Although the latter would be most useful.)
I understand Stack Overflow is good for specific programming problems, and I understand it may take me a few attempts to get my question right, so please help me clarify my question by providing suggestions and I will update it.
Like many data novices I have good experience with discreet data (e.g. how many enquiries last month), but I struggle to understand how to deal with continuous data (e.g. how to discover patterns, and where the criteria for a query are not yet known).
The question
I have a spreadsheet where each row represents a "website enquiry". There is a datetime column, and I'd like to discover patterns in this data, to answer questions like:
what is the most common time of day to receive an enquiry
what is the most common day of the week to receive an enquiry
other useful information I can glean from the data, to allow me to target possible customers
This would be similar to the functions you often see in Social Media analytics, such as "best time to tweet".
I understand that calculating the most common day of the week is very simple, as days are discreet objects. So I don't need help with this!
I would like to avoid simply splitting up the day into four arbitrary time periods (e.g. breakfast, lunch, dinner, nighttime) and counting the number of rows that fall into these bounds. What if these time periods are not best to use to segment the data?
Is there another way, other than quantizing my data using arbitrary bounds?
You could use clustering to find out what the most common times are. Basically, you compare the time separation of enquiries and cluster them just like discrete 1D set of numbers using, for example, the average linkage clustering criterion. As you reach a reasonably small number of clusters, you will start to see the most dominant times of day (and if you want to evaluate those, you can take the time values which are the weighted centres of the biggest clusters).
I want to calculate the probability of 6 independent events in excel. I know the general formula to do this howver it is very cumbersome to implement in excel.
Is there a better way?
The equation in your question suggests that you are asking for the probability of one or more of the events happening. This is the same as asking for the probability of "not none of them" happening. In Excel, you can calculate this using the following formula:
=1-PRODUCT(1-A1,1-A2,1-A3,1-A4,1-A5,1-A6)
(Here I am assuming that the probability of the events are given in cells A1:A6.)
However, if instead you are asking for the probability of all of the events happening, it's just the product of their individual probabilities:
=PRODUCT(A1,A2,A3,A4,A5,A6)
How Can I Model Multiple Short Time Series Samples?
For example, let's say I have a new subject each month, and I measure each subject every day for the entire month. I then want to model these multiple strings of independent time series because I assume that there is an underlying pattern that applies to all 12 subjects. However, a time series with an n of 30 is too short to model, so is there some way to group these 12 time series together for a parallel analysis?
I imagine the way to handle this is similar to how one might handle a time series with multiple breaks of unknown length. Unfortunately, I unaware of how to deal with this type of data structure.
Any thoughts on where to even begin? What terms I should research?
Well. Depends on what you're interested in. Makes it a lot easier if we know what kind of data you have, and what you're trying to analyse.
Trying to answer your question: If you assume that there is some underlying structure which is homogenous for, say, 6 of the subjects, and different for the other half, you can just pool the two data sets and do some kind of group-mean analysis. If you're interested in a temporal change over the 12 months, then you need to assume that each subject are homogenous across whatever variable you're measuring.
Normally, for e.g. timeseries in economics, what you're describing is called "censored" or "truncated data".
If we want to measure the income of everyone in a country, we do this by checking electronic paychecks or something. But some people at the end of each tail, may not have a visible income. Poor people may be earning income in other ways, and rich people may want to hide some of their income. This is censored data, and any advanced timeseries stats book will have something on that.
Truncated data is similar. Just imagine income again. If we truncate everyone who makes < 10,000$ a year, then this will "cut off the end" of your distribution. There are also remedies for this. Again check an advanced time series book.
Hope this helped a bit.
Let's (for discussion purposes) say that I have x and y data in 2 columns. They're some measured data which, several times a day, a few of them are added (usually 4 times a day).
Now, I wish to plot y=f(x) (linear scale), but the problem is since data is constantly added to determine the number of points which will go in the plot. Always creating a new plot and then formatting it and all, is troublesome for ... reasons.
Is there a way to do this using excel's build in functions ? Should I use vba ? I tried googling, but I don't know what to search for. I'd appreciate any help on this, even if its just a point in the right direction.
Is there a way to tell excel, use all points in this column until you hit an empty cell ?
You can do this without any VBA. Jon Peltier has an example by Debra Dalgleish on his website:
http://peltiertech.com/Excel/Charts/DynamicColumnChart1.html
It can be pretty frustrating to Google anything related to Excel because there is so much junk out there, but I've found that if there's something "obvious" that you know shouldn't be so hard, one of the various "MVP" sites will have covered it.