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  1. Select a random sample of results from a query result

    Apr 9, 2009 · 77 This question asks about getting a random (ish) sample of records on SQL Server and the answer was to use TABLESAMPLE. Is there an equivalent in Oracle 10? If …

  2. Select random sampling from sqlserver quickly - Stack Overflow

    Mar 16, 2009 · Select random sampling from sqlserver quickly Asked 16 years, 10 months ago Modified 13 years, 1 month ago Viewed 31k times

  3. What does the random.sample () method in Python do?

    Mar 30, 2014 · I want to know the use of random.sample() method and what does it give? When should it be used and some example usage.

  4. r - Take random sample by group - Stack Overflow

    In case your data is unbalanced in the sense that some groups happen to be smaller (as number of rows) than your desired sample size, then you need to set a defensive trick like sample size …

  5. Simple Random Samples from a MySQL Sql database

    How do I take an efficient simple random sample in SQL? The database in question is running MySQL; my table is at least 200,000 rows, and I want a simple random sample of about …

  6. Sampling a random subset from an array - Stack Overflow

    Aug 13, 2012 · What is a clean way of taking a random sample, without replacement from an array in javascript? So suppose there is an array x = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15] and …

  7. Random row selection in Pandas dataframe - Stack Overflow

    Is there a way to select random rows from a DataFrame in Pandas. In R, using the car package, there is a useful function some(x, n) which is similar to head but selects, in this example, 10 …

  8. r - Sample random rows in dataframe - Stack Overflow

    I am struggling to find the appropriate function that would return a specified number of rows picked up randomly without replacement from a data frame in R language? Can anyone help …

  9. Weighted random sample without replacement in python

    I need to obtain a k-sized sample without replacement from a population, where each member of the population has a associated weight (W). Numpy's random.choices will not perform this …

  10. python - A weighted version of random.choice - Stack Overflow

    This is so much faster than numpy.random.choice . Picking from a list of 8 weighted items 10,000 times, numpy.random.choice took 0.3286 sec where as random.choices took 0.0416 sec, …