Oh, dude, arranging 36 squares in equal rows? That's like asking how many ways you can arrange your socks in a drawer. Technically, you can arrange them in 36! ways, which is a super big number that I'm too lazy to calculate. So yeah, have fun with your square arranging adventures!
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Well, honey, if you're arranging 36 squares in equal rows, you just divide 36 by the number of squares in each row. If you want 6 squares in each row, that's 6 rows with 6 squares in each. If you want 4 squares in each row, that's 9 rows with 4 squares in each. It's basic math, darling.
Oh, what a happy little question! You can arrange 36 squares in equal rows in many ways, my friend. Let's paint a picture together - if you want to create a square with 6 rows and 6 columns, that's one way. Or perhaps you'd like to arrange them in 3 rows of 12 columns, that's another beautiful arrangement. There are so many possibilities waiting for you to explore!
2 rows of 18 squares
3 rows of 12 squares
4 rows of 9 squares
6 rows of 6 squares
9 rows of 4 squares
12 rows of 3 squares
18 rows of 2 squares
36 rows of 1 square
I would not count "1 row of 36 squares", because you only have a single row that cannot equal another row (there is only one rowafter all). If this is for homework, I would state your reasoning for excluding (or including) that set. Count all the options up, and you have 8 different ways you can arrange the rows with the exclusion.
In database, Table refers to a structure which contains rows and columns. Data can be stored in these rows and columns in arranged manner.
A data warehouse differs from OLTP in that the former handles many large and complex queries regarding various rows of a table while the latter retrieves data from single rows. At the same time, a data warehouse is not real time and supports few users at a time compared to OLTP that can support many concurrent users.
Tuple is a collection of one or more attributes or rows present in a table.
There are many reasons why SQL allows duplicate tuples (rows):To store non-unique values.To simply remove primary keys, unique indexes, and unique constraints.It allows this if there is no unique constraint.
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