That’s right, eruptions, not interruptions. We’re talking volcanoes here.
This week’s TidyTuesday theme for R Programming data analysis was on volcanoes, and volcanic eruptions. Data was provided by the Smithsonian Institute.
- Did you know all known volcanoes in the world have an official “Volcano Number”?
- Did you know that not all volcanic eruptions are confirmed?
For example, since 2000 there have been 794 recorded eruptions, but of these 79 are unconfirmed (about 10%). That’s pretty surprising considering these recently occurred. Perhaps they occurred in very remote regions (like on an unpopulated island in the middle of the Pacific Ocean), or there was dispute if some volcanic activity was considered an “eruption” or not.
Which do you think are the top three countries with confirmed volcanic eruptions since 2000?
Japan came to my mind, but I wasn’t sure about the rest. Maybe Chile or Argentina…
…it turns out, Indonesia (30), Japan (15), USA (14) have had the most confirmed eruptions recently!
The top recent “eruptors” bear very interesting names, like:
Some of these have erupted 22 times in the past 20 years!
You can check out my volcano github post to see more curiosities I analyzed and the actual R programming code I used. I got to learn & practice using some new functions from the dplyr package like:
inner_join(), which combines columns from both datasets in the result
semi_join(), which shows only columns from the first specified dataset
anti_join(), which keeps only the first dataset’s columns like in semi_join() but feels more rebellious to use
I found this dplyr site helpful in helping me figure out how to use these functions and see which ones fit my analysis needs.
At first, I was bummed that the topic was on “Volcanoes” after a fun whirl on Animal Crossing. However, this analysis turned out to be fun and the time quickly erupted by!
Nest Cafe ~ Cafe Nido 