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All right.
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Last note before we shift into daks demo mode I want to lay out the common function categories and most
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of these should look familiar to excel users.
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These map pretty closely with Excel function categories especially math and stats.
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Logicals text and date and time functions.
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One area that is quite a bit different in daks is the filter function section which will dive into later
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in the section.
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But basically what we've got here the math and stats category your basic aggregation functions are some
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Max men average count etc. plus some interesting daks formulas called iterators which actually evaluate
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row by row.
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Sometimes those are called X functions because they all ended at x some x average x rank X Max sex etc.
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and for Excel users those were just like a some product.
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More on that to come.
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Next up we've got logicals basically returning information about values in a given conditional expression.
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So these are all based around those if statements if and or not there's a new one called switch which
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is interesting.
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And you've got very familiar text functions.
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These manipulate text strings can also be used to control formats for things like dates times or numbers
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and they should look very familiar as well concatenate or ampersand left men right.
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You've got capitalization rules like the ones we practice in the query editor with upper or lower prop..
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And then some useful options like substitute and trim as well.
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Now filter functions this is where things feel a little bit foreign and unfamiliar.
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These include Look up style functions based on related tables and table relationships in your model
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and filtering functions to create more dynamic types of calculations.
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So the most common example of all is a formula called calculate which will spend some time focusing
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on the other ones that will really hit here or filter all and related but tons of other options here
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as well.
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And then in the date and time category you've got your basic date and time functions as well as some
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advanced time intelligence operations.
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So your basic ones should look pretty familiar date diff your frac your component functions like.
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Year month day or hour minute second got volatile functions like today and now and then time intelligence.
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This is really interesting.
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We'll do some cool downloads there like dates year to date dates quarter date date add and dates in
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period.
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These let you do some really interesting things like calculate rolling averages year to date totals
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and other date specific comparisons.
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So big caveat here this that you're looking at here is not a comprehensive list.
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There are many other daks functions some of which are more advanced some of which are more specialized.
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There's trigonometry functions parent child functions info functions.
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So the ones that we're going to cover here are some of the most common and some of the most powerful
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but this will not be a fully comprehensive review of daks.
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The plan here is to get you started with the basics and hopefully give you a deep enough understanding
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that you can begin to explore some more complicated more advanced scenarios on your own so that buckle
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up it's time to start running Sendak's.
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