1 00:00:00,732 --> 00:00:02,570 We have covered a lot of ground in this course. 2 00:00:02,570 --> 00:00:06,017 From irises in Oregon to geysers in Wyoming. 3 00:00:06,017 --> 00:00:09,260 And in terms of data visualization too. 4 00:00:09,260 --> 00:00:12,790 I've updated the image we just finished to remove the histogram. 5 00:00:12,790 --> 00:00:14,345 Let's take a look at our final report. 6 00:00:14,345 --> 00:00:24,320 [SOUND] I sent Steve our summary report for his photo excursion. 7 00:00:24,320 --> 00:00:26,060 He was super excited. 8 00:00:26,060 --> 00:00:29,240 He can tell that he'll typically have about four minutes to take pictures of 9 00:00:29,240 --> 00:00:34,450 an eruption, and he'll generally have to wait about 80 minutes between events. 10 00:00:34,450 --> 00:00:37,770 For the short videos, the scatter plot shows that he should be looking for 11 00:00:37,770 --> 00:00:41,760 opportunities in which the eruptions occur more frequently. 12 00:00:41,760 --> 00:00:44,800 Conversely, the longer the time between eruptions, 13 00:00:44,800 --> 00:00:47,770 the longer the next event will generally last. 14 00:00:47,770 --> 00:00:51,750 Steve is excited to take this information and put it to use on his trip. 15 00:00:51,750 --> 00:00:54,330 I'm excited to hear about how you are exploring data and 16 00:00:54,330 --> 00:00:56,480 putting it to use in your decision making process. 17 00:00:58,280 --> 00:01:01,948 Let your fellow Treehouse students know by leaving a post in the forum about your 18 00:01:01,948 --> 00:01:05,730 data viz effort, or reach out to me on Twitter to share your work. 19 00:01:05,730 --> 00:01:07,550 Until next time, happy coding.