All language subtitles for 11. Common DAX Function Categories

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,730 --> 00:00:01,040 All right. 2 00:00:01,050 --> 00:00:07,650 Last note before we shift into daks demo mode I want to lay out the common function categories and most 3 00:00:07,650 --> 00:00:10,260 of these should look familiar to excel users. 4 00:00:10,290 --> 00:00:15,030 These map pretty closely with Excel function categories especially math and stats. 5 00:00:15,090 --> 00:00:18,310 Logicals text and date and time functions. 6 00:00:18,570 --> 00:00:23,940 One area that is quite a bit different in daks is the filter function section which will dive into later 7 00:00:23,940 --> 00:00:24,850 in the section. 8 00:00:25,020 --> 00:00:30,570 But basically what we've got here the math and stats category your basic aggregation functions are some 9 00:00:30,570 --> 00:00:37,800 Max men average count etc. plus some interesting daks formulas called iterators which actually evaluate 10 00:00:37,800 --> 00:00:38,850 row by row. 11 00:00:38,940 --> 00:00:46,590 Sometimes those are called X functions because they all ended at x some x average x rank X Max sex etc. 12 00:00:46,920 --> 00:00:50,270 and for Excel users those were just like a some product. 13 00:00:50,310 --> 00:00:51,700 More on that to come. 14 00:00:51,780 --> 00:00:58,050 Next up we've got logicals basically returning information about values in a given conditional expression. 15 00:00:58,050 --> 00:01:04,410 So these are all based around those if statements if and or not there's a new one called switch which 16 00:01:04,410 --> 00:01:05,380 is interesting. 17 00:01:05,640 --> 00:01:08,010 And you've got very familiar text functions. 18 00:01:08,130 --> 00:01:13,860 These manipulate text strings can also be used to control formats for things like dates times or numbers 19 00:01:14,370 --> 00:01:19,280 and they should look very familiar as well concatenate or ampersand left men right. 20 00:01:19,350 --> 00:01:25,250 You've got capitalization rules like the ones we practice in the query editor with upper or lower prop.. 21 00:01:25,260 --> 00:01:28,920 And then some useful options like substitute and trim as well. 22 00:01:28,920 --> 00:01:33,290 Now filter functions this is where things feel a little bit foreign and unfamiliar. 23 00:01:33,300 --> 00:01:39,120 These include Look up style functions based on related tables and table relationships in your model 24 00:01:39,480 --> 00:01:43,790 and filtering functions to create more dynamic types of calculations. 25 00:01:43,800 --> 00:01:49,170 So the most common example of all is a formula called calculate which will spend some time focusing 26 00:01:49,170 --> 00:01:55,380 on the other ones that will really hit here or filter all and related but tons of other options here 27 00:01:55,380 --> 00:01:56,220 as well. 28 00:01:56,490 --> 00:02:01,890 And then in the date and time category you've got your basic date and time functions as well as some 29 00:02:01,890 --> 00:02:05,010 advanced time intelligence operations. 30 00:02:05,010 --> 00:02:11,220 So your basic ones should look pretty familiar date diff your frac your component functions like. 31 00:02:11,220 --> 00:02:18,580 Year month day or hour minute second got volatile functions like today and now and then time intelligence. 32 00:02:18,580 --> 00:02:19,740 This is really interesting. 33 00:02:19,740 --> 00:02:25,740 We'll do some cool downloads there like dates year to date dates quarter date date add and dates in 34 00:02:25,740 --> 00:02:26,680 period. 35 00:02:26,730 --> 00:02:32,490 These let you do some really interesting things like calculate rolling averages year to date totals 36 00:02:32,640 --> 00:02:34,970 and other date specific comparisons. 37 00:02:35,010 --> 00:02:40,660 So big caveat here this that you're looking at here is not a comprehensive list. 38 00:02:40,680 --> 00:02:46,740 There are many other daks functions some of which are more advanced some of which are more specialized. 39 00:02:46,830 --> 00:02:51,390 There's trigonometry functions parent child functions info functions. 40 00:02:51,390 --> 00:02:56,700 So the ones that we're going to cover here are some of the most common and some of the most powerful 41 00:02:57,030 --> 00:03:00,780 but this will not be a fully comprehensive review of daks. 42 00:03:00,810 --> 00:03:06,390 The plan here is to get you started with the basics and hopefully give you a deep enough understanding 43 00:03:06,780 --> 00:03:13,680 that you can begin to explore some more complicated more advanced scenarios on your own so that buckle 44 00:03:13,680 --> 00:03:15,660 up it's time to start running Sendak's. 4842

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