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These are the user uploaded subtitles that are being translated: 1 00:00:01,220 --> 00:00:03,340 Welcome to the lecture on engineering. 2 00:00:03,340 --> 00:00:05,640 Date and time variables. 3 00:00:06,320 --> 00:00:10,540 Early on in the course we learned that date and time variables are those. 4 00:00:10,640 --> 00:00:18,740 But it was that contained date time or a combination of both is something that we call a timestamp or 5 00:00:18,740 --> 00:00:19,280 a date. 6 00:00:19,280 --> 00:00:27,400 Timestamp we also saw some examples of date and date and time variables like for example date of birth 7 00:00:27,670 --> 00:00:30,480 which in this case contains only dates. 8 00:00:30,910 --> 00:00:37,420 Date of application for example for a loan which in this case contains the year and the month time of 9 00:00:37,420 --> 00:00:38,080 accident. 10 00:00:38,080 --> 00:00:46,200 For example which in this case contains only time for example as well payment date which contains in 11 00:00:46,200 --> 00:00:53,610 this example a combination of date and time so all of these are examples of date and time variables 12 00:00:53,860 --> 00:00:57,250 and in general we don't use them as such. 13 00:00:57,300 --> 00:01:04,710 When we build machine learning mothers but we rather extract a variety of features from these characteristics 14 00:01:05,880 --> 00:01:07,500 let's have a look on how we can do that. 15 00:01:10,620 --> 00:01:18,520 So here we can see the anatomy of a daytime viable in this variable payment date that contains a date 16 00:01:18,940 --> 00:01:27,130 and time we can see how we can easily derive the year of payment from this part of the variable. 17 00:01:27,190 --> 00:01:33,850 We can also derive the months of the payment and with this variable we can create features that take 18 00:01:33,850 --> 00:01:40,660 numbers from one to twelve indicating the month but we can also derive the quarter of the year in which 19 00:01:40,660 --> 00:01:48,790 the payment was made or even the semester if we were interested similarly we can get they information 20 00:01:48,790 --> 00:01:55,750 from the day part of the day time variable and we can get this information in the form of Monday Tuesday 21 00:01:55,750 --> 00:02:04,250 Wednesday or instead numbers or we can create variables like is we can for example by looking at whether 22 00:02:04,250 --> 00:02:13,070 these dates are Saturday or Sunday as we will see in the Jupiter notebook later on in the section we 23 00:02:13,070 --> 00:02:21,980 can also look at the time part of the variable and derive our minutes and seconds. 24 00:02:21,980 --> 00:02:27,290 Looking at the different components of the time and we can also get creative and look at whether this 25 00:02:27,290 --> 00:02:34,160 payment took place in the morning or in the afternoon or in the evening more interesting. 26 00:02:34,250 --> 00:02:41,270 We can calculate the time that passed between two variables. 27 00:02:41,270 --> 00:02:47,660 For example we have the variable first payment date which contains a date on a time and then we have 28 00:02:47,660 --> 00:02:52,150 another different variable that contains the information about the last payment date. 29 00:02:52,220 --> 00:02:59,510 The similar format we can calculate the difference in time and we can express this in the number of 30 00:02:59,510 --> 00:03:07,250 days that passed between the two payments or the number of months or the number of years or if the difference 31 00:03:07,280 --> 00:03:09,890 is not as big as the one that I show in this example. 32 00:03:09,890 --> 00:03:15,790 We can also calculate the difference in hours minutes and seconds. 33 00:03:15,810 --> 00:03:23,250 Finally we need also to pay attention to the different time zones in which we can have two variables 34 00:03:23,250 --> 00:03:27,140 particularly if our organization operates worldwide. 35 00:03:27,140 --> 00:03:34,050 The Thompson empanadas is going to be indicated by a plus or a minus on the different of ours respect 36 00:03:34,050 --> 00:03:42,680 to the center which is 0 so in order to operate with these variables we first need to put them in the 37 00:03:42,680 --> 00:03:44,260 same star timestamp. 38 00:03:44,360 --> 00:03:47,600 Whichever you want in this case I chose 0. 39 00:03:47,720 --> 00:03:51,380 So as you can see 15 is two hours plus respect to zero. 40 00:03:51,380 --> 00:03:58,880 So in the zero time zone this would be 1:00 o'clock whereas this one it's 3 p.m. but this time zone 41 00:03:58,880 --> 00:04:01,600 is five times ahead of the center. 42 00:04:01,640 --> 00:04:09,230 So in the center time it would be 10 a.m. and now that we have the values in the same time zone we can 43 00:04:09,260 --> 00:04:12,830 operate and extract differences in time as we did in the previous light 44 00:04:16,030 --> 00:04:17,290 in the rest of the section. 45 00:04:17,290 --> 00:04:23,680 I'm going to cover two Jupiter notebooks in the first one I'm going to show you how to engineer dates 46 00:04:23,950 --> 00:04:29,970 using banned and in the second one I'm going to show you how to engineer times using binders as well. 47 00:04:30,980 --> 00:04:35,530 Feel free to read the notebooks in your own time or if you prefer. 48 00:04:35,810 --> 00:04:40,070 Come with me in the next two videos and I will walk you through the notebooks. 49 00:04:40,490 --> 00:04:41,150 See you in a bit. 5605

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