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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:04,850 --> 00:00:08,240 Welcome to this section on the power of your query editor. 2 00:00:08,600 --> 00:00:12,950 Now, the power of your query editor is the tool that allows you to transform and clean up your data 3 00:00:12,950 --> 00:00:15,680 before you actually even bring in the data into Power BI. 4 00:00:15,980 --> 00:00:17,650 So it allows you to work on that data. 5 00:00:17,660 --> 00:00:22,190 You can filter the data, you can remove columns, so you can do a lot of cleaning up to look at your 6 00:00:22,190 --> 00:00:22,710 data types. 7 00:00:22,730 --> 00:00:24,230 You can correct your data types. 8 00:00:24,260 --> 00:00:29,690 You can also do custom calculations, so you can create new data types to bring into your actual power 9 00:00:29,690 --> 00:00:31,160 BI for your report. 10 00:00:31,190 --> 00:00:36,290 So what you're going to see with Power BI query editors, the way that it works is as a set of applied 11 00:00:36,290 --> 00:00:36,910 steps. 12 00:00:36,920 --> 00:00:41,960 So it's very much like a macro, but you set of steps and you say first do this, then do this, then 13 00:00:41,960 --> 00:00:42,620 do this. 14 00:00:42,620 --> 00:00:48,020 So once you've got that set of steps, every time you apply it, it will redo those steps each time. 15 00:00:48,020 --> 00:00:53,360 So as I said, this is really useful when you bring it in your data into Power BI to clean this up. 16 00:00:53,480 --> 00:00:57,890 So the last poll we're going to be looking at is we're going to load the data into Power BI from our 17 00:00:57,890 --> 00:00:58,730 query editor. 18 00:00:59,060 --> 00:01:02,910 But yet again, let's jump into the lessons and let's see how we do this. 19 00:01:02,930 --> 00:01:03,800 I'll see you there. 1859

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