The important part on that QUERY is the last bit, the order by R desc limit 13. You can ignore this part and simply write your "Where" statement. I have Code!I3 separated from the formula so I don't have to type it myself and is done via a TEXTJOIN. =IFERROR(QUERY(Database!$A2:$AA,"select A, B, C, F, E, D, G, Q" & Code!I3 & " order by R desc limit 13",0),"") Then, on my second sheet (dashboard), I have my dropdowns on the left and then a table to the right that brings the data I want with my QUERY. This formula assigns a random number to each row every time there's a change or action on the sheet (opening, pasting, copying.). In my first sheet (database) y added a column at the end with the formula (and dragged down): =IF(A2="","",RAND()*100) so not sure if this solution will help you without having to change your entire approach. In the past, for a similar process, I've used the QUERY function in my second sheet. Transposes the rows and columns of an array or range of cellsġ6 acronyms in this thread the most compressed thread commented on today has 3 acronyms. Given an input number, returns -1 if it is negative, 1 if positive, and 0 if it is zeroĬombines the text from multiple strings and/or arrays, with a specifiable delimiter separating the different texts. Returns the row number of a specified cell Returns a uniformly random integer between two values, inclusive Returns a random number between 0 inclusive and 1 exclusive Runs a Google Visualization API Query Language query across data Returns true if any of the provided arguments are logically true, and false if all of the provided arguments are logically false Returns the argument provided as a number Returns the first argument if it is not an error value, otherwise returns the second argument if present, or a blank if the second argument is absentĬalculates the matrix product of two matrices specified as arrays or ranges Returns one value if a logical expression is TRUE and another if it is FALSE Returns a filtered version of the source range, returning only rows or columns which meet the specified conditions Returns the a count of the number of values in a dataset Thank you for taking the time to read regardless of your ability to contribute.Īcronyms, initialisms, abbreviations, contractions, and other phrases which expand to something larger, that I've seen in this thread: Fewer LettersĮnables the display of values returned from an array formula into multiple rows and/or columns and the use of non-array functions with arraysĬonstrains an array result to a specified size I've been doing this in python, but unfortunately I need to migrate so that it is all done in sheets. Then, I would use the weights of those names to randomly pick one (if 3 names fit the criteria, the first having a weight of 4, the second 10, and the third 6, then they should be generated 20%, 50%, and 30% of the time respectively) For example, the boxes are "true", "N/A", "false", then I want to look at all the names that are 'blue' but not 'deluxe', regardless of if those are round or not. In the second sheet, I want to use the weights to randomly select a name that fits the criteria selected in the drop-down boxes. Each drop down box will have the following three options: True, False, and N/A. I have 3 drop-down boxes in A2, B2, and C2 (one for each quality). I have the three qualities listed in A1, B1, and C1 as a header. The qualities are non-exclusive, something can have a check for being 'blue' and a check for being 'round' but not a check for being 'deluxe'. Each name has a weight (stored in column B), and 3 possible qualities (tracked by check-boxes) stored in the next three columns (C, D, & E). My first row is a header row that contains strings. Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value.I know how to do a weighted random generator using VLOOKUP and a cumulative probability column, but I don't know how to do it when excluding 'names' that don't meet certain criteria. The standard deviation is obtained as the square root of the variance. In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The red population has mean 100 and variance 100 (SD=10) while the blue population has mean 100 and variance 2500 (SD=50). Example of samples from two populations with the same mean but different variances. For other uses, see Variance (disambiguation). This article is about the mathematical concept.
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