Next, I created a histogram with average #nicar18 tweet counts by hour for the three full days: Thursday, Friday and Saturday. It shows when people sent the most tweets — and that they apparently took more breaks during lunch and just before the first afternoon sessions began.
The pattern is also clear here in a more granular view of daily tweet counts by hour:
This tweet volume, which only captures people tweeting with the hashtag, was posted by attendees from across the globe. This year’s conference, as I mentioned in the previous post, had record-breaking attendance: more than 1,200.
Here’s where the attendees came from:
These types of maps are imperfect, of course, especially on mobile. For one, it’s tough to decipher attendance from the Northeast and Mid-Atlantic regions.
Here’s a more focused version (still a little nuclear blasty), if that helps (please note that the scale is different from the map above):
I’m in the United States this week to attend the annual news nerd conference known as NICAR, a diverse gathering of reporters, editors and developers (and others) focused on storytelling with data.
I look forward to it like Christmas.
I get to return to the United States, see old friends, learn new skills and drink Diet Coke, which is nearly impossible to find in South Korea, where I work as a foreign correspondent for the Los Angeles Times.
These basic graphics help explain the event, held this year in Chicago.
First, there’s record-breaking attendance* this year:
The event has more than 200 sessions over five days, from the basic use of spreadsheets in news gathering to the construction of complex news applications — and the organizers (who graciously share data about the conference) categorized them by type:
The conference generally has a mix of skills sets and expertise levels, which is evident in the session categories:
There are people here from almost every American state and from numerous countries around the world. My jet lag brain is still working through how to best visualize that, perhaps in a map. I’ll post something soon.
After attending each year since 2006, I had to skip the convention in 2015 and 2016 because I now live in Seoul. But I’m making the long journey to Florida this year, and I wanted to know how many people would be there.
The fine folks at IRE graciously shared historical attendance data with me:
The bot creates maps of county-level data, grouped by quintile. The bot functions as an educational tool, and as a critique of a facile approach to official statistics and map-making. The bot’s functional but hardly insightful maps offer a veiled critique of the blind use of data to offer insight.
See for yourself. More than 1,000 maps, at random:
A few months ago, I wrote about the novelty of a McDonald’s selling beer at one of its restaurants in South Korea — a first for the fast-food giant in Asia.
The story wouldn’t have been complete, of course, without the context of South Korea’s raging alcohol consumption. People who drink here do so more heavily than their counterparts in most countries around the world, especially when compared to fellow rich nations, according to a survey by the World Health Organization.
The country-by-country comparisons from that story are plotted below.
The group maintains a detailed database of each crash back to 1918, the early days of flight, allowing users to search 22,000 cases by year, operator, plane type and cause, among several other variables. This one is at least the 18th involving an Airbus A320, according to the database.
The chart below shows the number of crashes catalogued by the group during that time. You can see a spike in 1944, during World War II, when many military aircraft went down in battle, resulting in more than 4,300 casualties:
Since then, the number of crashes peaked in 1978 and has declined over time. There were about 120 crashes last year, according to the bureau’s records.
As I noted yesterday, we can expect similar weather here in Seoul as we experienced in Washington, D.C., where we lived until earlier this month. The two capital cities are located about the same distance from the Equator, along the 38th parallel north.
We’ll be in for something different this summer, however. That’s when the rains come. On average, Seoul gets about 35 inches of rain during July and August alone. To put that in perspective, our former home city, Austin, receives about the same amount annually. Seoul gets more rain in these months than most major cities in the American West, in fact.
Compare Austin, Seoul and Washington, D.C., in this chart:
The number of days with some rain also spikes a bit during the Seoul summer. Again, compare the cities:
My wife Elise gave birth to a baby girl on Saturday, meaning it’s time for me to take a guilt-free vacation from the blog, which I’ve been neglecting already in recent weeks.
Meanwhile, here’s a parting viz, showing the interval between her contractions as we labored from home. They began around 4:30 a.m. on Saturday, coming and going erratically until the late afternoon.
At that point the contractions came every three minutes, our baseline for going to the hospital (that’s also when we stopped collecting data, which admittedly aren’t perfect because we missed a few contractions along the way). Baby Eva came three hours later.