WEBVTT 1 00:00:00.150 --> 00:00:03.420 Hey everybody, so this week we're gonna talk about 2 00:00:03.420 --> 00:00:05.880 selecting the right chart, that's the whole focus. 3 00:00:05.880 --> 00:00:07.380 How do you pick the right visualization 4 00:00:07.380 --> 00:00:10.110 for the data that you have, for the tasks you're trying 5 00:00:10.110 --> 00:00:12.690 to enable your audience to perform? 6 00:00:12.690 --> 00:00:17.690 And what's crazy is that almost nobody is taught this. 7 00:00:18.090 --> 00:00:19.950 Data analysts aren't taught this, 8 00:00:19.950 --> 00:00:22.050 scientists aren't taught this, 9 00:00:22.050 --> 00:00:23.910 MBAs aren't taught this, and by the way, 10 00:00:23.910 --> 00:00:25.410 those are the three groups of people 11 00:00:25.410 --> 00:00:28.920 who occasionally are taught this, 12 00:00:28.920 --> 00:00:30.540 but nobody else has ever taught it, 13 00:00:30.540 --> 00:00:31.710 and even most of those people, 14 00:00:31.710 --> 00:00:35.520 most data analysts aren't taught how to pick charts. 15 00:00:35.520 --> 00:00:38.820 Makes no sense, because different charts 16 00:00:38.820 --> 00:00:40.290 do different things. 17 00:00:40.290 --> 00:00:42.120 You have to be very thoughtful 18 00:00:42.120 --> 00:00:44.550 when picking the chart for your data. 19 00:00:44.550 --> 00:00:45.720 So that's the focus of this week, 20 00:00:45.720 --> 00:00:46.770 we're gonna talk a lot about it 21 00:00:46.770 --> 00:00:49.803 from a lot of different directions, so let's get to it.