Thank you for your Original Content, /u/andersoonasd! I've added your flair as gratitude. Here is some important information about this post:
I hope this sticky assists you in having an informed discussion in this thread, or inspires you to remix this data. For more information, please read this Wiki page.
What's the orange vs Blue? I'm guessing the discrepancy between metric and imperial measurements?
Also, holy crap he was almost 500lbs
Expand More Comments
Thank you for your Original Content, /u/Draav! I've added your flair as gratitude. Here is some important information about this post:
Source: Sleep Android appTool: Excel
Nothing too amazing, and I'm sure people have way worse sleep schedules than I do, but just something I did for fun and to see if I could make a visualization that was effective.
Some days are missing values since I didn't turn the app on that night :/
Something that would have made my life way more complicated would be dealing with start times before midnight. Excel is finicky with those time scales. Luckily I never went to bed before midnight these past 2 months.
Pretty cool! I use an app called Sleep Cycle (worth the money if you are into tracking your sleep). This is what my time in bed looks like over the last year or so
This is about accurate to my sleep schedule in college as I type this at 3am. Only way to make it through the day is knowing you can sleep in on the weekend lol
I'm a bot, bleep, bloop. Someone has linked to this thread from another place on reddit:
If you follow any of the above links, please respect the rules of reddit and don't vote in the other threads. (Info / Contact)
Thank you for your Original Content, /u/proxyformyrealname! I've added your flair as gratitude. Here is some important information about this post:
Mean distance describes how far from the downtown housing is being built in a given year. Here is an animated heat map of the process.
Created in R using ggplot and gganimate. The source is the County Assessor
I was in Nashville last year. I stayed downtown but went down to Gruhn Guitars then out to around the Belmont area to look around. Really great, old neighborhoods around Nashville with a lot of resurgent energy. I really hope my hometown of Detroit maintains a similar trajectory. We have a long way to go.
I have lived in Nashville for 7 years and it is ridiculous. Neighborhoods that people avoided (for safety reasons) 15 years ago, have houses selling in the $1m range. Houses that are smaller than 2,000 square feet. This is no SF, but that growth is crazy for anyone who has been here during. The brewery scene is coming along nicely as well!
Can someone explain the Nashville hot chicken thing? I grew up their and never heard of it. I see it on food related shows and people ask me about it when they find out I'm from Nashville. I had to look it up initially lol.
More related to the post, my parents are loving the growth! Values going up!
Thank you for your Original Content, /u/jmerlinb! I've added your flair as gratitude. Here is some important information about this post:
I probably spend 50 minutes a day on reddit, if not more. Kinda sad when put in perspective, I think I need to cut it down.
I’m not so sure about those reading estimates. For example I know Macbeth is short but 57 minutes is not reasonable if you’re going to read it deeply for any kind of meaningful comprehension.
Data source: a variety of places. "50 mins a day" comes from Facebook's 2016 Q1 earnings call; word count for books generally came readinglength.com; length of albums, EPs, LPs and entire recorded works, generally came from Amazon.com and Wikipedia.
Made with: Google Sheets > D3.js > Adobe Illustrator
Original Author: jmerlinb
all figures given in hours have been rounded to the nearest whole hour, for ease of reading, though this will explain some apparent size discrepencies in the rectangles
It's fair to Mark to point out that that '50 minutes a day' was for the 'Facebook family of apps' (Facebook, Instagram, Messenger), not just for Facebook
perhaps comparing the total time spent on Facebook to activities such as watching a movie is a tad unfair, since movies are generally watched all in one sitting, whilst Facebook is checked briefly many times throughout the day, but I was keen to show the comparision
Fun Fact: if the average person spends 305 hours a year on Facebook, and Facebook currently has over 2.2 billion users, then humanity collectively spends over 671 billion hours-worth, or over 76 millenias-worth of attention on Facebook.
This doesn't take into account that much of the facebook use is done in 5 minute intervals.
And you can't watch anything in 5 minute intervals and enjoy it. And reading in 5 minute intervals would be really annoying too.
I mean, I hate facebook as much as the next guy, but. Let's be fair. :)
Awesome post. I have really cut back on my Facebook usage just by disallowing any notifications on my phone - not even the little red-circle counter on the app icon. I still go to Facebook when I feel like it but it can’t really reach out and grab me anymore.
A few notes:
80 years of FB usage might be an extreme. You're dealing with averages here. I would use the average lifespan.
I would also equate this to if you spent it walking/exercising, how many calories would you burn/distance you would walk. If you spent it working (based on average wage), how much more money you would have ( and then you can actually assume investment or time-money value principles) and see what the value is of that time.
I can't blame people actually and I think what we do is pretty natural if you take a look at our lifestyles. We have jobs that we don't like, bosses that we hate, responsibilities that we would like to avoid, loans that we gotta pay... social media is just an escapism tool. I used to have all kind of social media accounts. Then I realized I was just wasting my time on people I didn't even care for or liked. The idea was just to kill time so that I wouldn't feel bad about things around me, so I deleted most of them. As long as we lead unhappy lives we will have addictions. For anyone interested, here is a good short documentary: Addiction
Thank you for your Original Content, /u/FourierXFM! I've added your flair as gratitude. Here is some important information about this post:
Click here for a better quality, non-looping version
Source: HYG Database
Tools used: R and ggplot2 for creating individual frames, VirtualDub for creating the avi, and VLC for converting the avi to mp4
This is my submission for the March challenge. It is an armadillo projection of the spherical coordinates onto 2d space. I ignored the phi_s rule in the wikipedia equations so I could plot all of the stars, so the dimensions are pretty warped at low y-axis points. The luminosity was calculated from this wikipedia article from the apparent magnitude.
There is no real analysis here, I just wanted to plot the stars and play with map projections. Stars with apparent magnitude > 8.5 are excluded, for arbitrary reasons (I liked the way it looked). The stars get larger and brighter (whiter) as the luminosity increases. At the beginning, the plot is centered at 0,0. To make it look more like those cool time-lapse videos of the stars done with long exposure cameras I changed the declination by 1 degree every frame, and I think it made a cool effect. I like watching stars disappear at the right and reappear at the left.
Thank you for your Original Content, /u/GoBay33! I've added your flair as gratitude. Here is some important information about this post:
By a strange coincidence to the other thread of 2012 data, just in the last week or so I finished testing AA alkaline batteries because I wanted to know which ones would last longest in my metal detector.
Since my metal detector takes 8 batteries, and they often come in packs of 10, I had two of each type left over to run through a 10 ohm power resistor. So thats 3 volts, 10 ohms, thus drawing 300 milliamps when fresh. Readings of voltage from a digital multimeter written down every half hour, then graphed in a spreadsheet.
I tested those readily found in Australian supermarkets:
Coles Alkaline +
Results: They were basically all the same to as near as makes no difference, as graphed in OpenOffice 4.1.2 (similar to Excel):
Some of the batteries produced a voltage a bees dick higher than other when fresh (eg. 3.04 Volts vs. 3.01 Volts) but that good start made no real difference in the long run. One of the Energizer batteries failed at 7hours 30 minutes, but all batteries were basically dead at that point anyway so fundamentally that made no significant difference to my final decision...
...use whatever is cheapest. The tiny difference in percentage performance is massively outweighed by price differences, which can often be half or double the brand sitting next to it on the shelf.
Note that while I tested the voltage all the way out to 10 hours, a lot of electronic devices would have no way of working with batteries that were that flat. The 2 volt mark represents 1.5 volt batteries that have gone down to 1 volt... and at that value almost nothing would work. Thats why I'm not so upset about the Energizer battery failing, because I would have been at the point of replacing the batteries in my metal detector anyway.
For what it is worth, the resistive load was three MP850 resistors (33 ohms each) in parallel.
Thank you for your Original Content, /u/liquidGhoul! I've added your flair as gratitude. Here is some important information about this post:
I could not see anything from yesterday's post of crime in Chicago (an excellent example of why you shouldn't create 3D graphs), so I have created a faceted map for each 'primary type' of crime in Chicago over the last year. I have removed the temporal component, as I don't think it added anything to the visualisation. Opacity for each crime is set at 1%, which is why the rarer crimes are hard to see (you can see at full resolution). I had originally intended to create a heat-map, but it was too much effort, so I resolved with a dot plotted for each crime at low opacity.
Data is from the City of Chicago data portal.
Maps created in R, using the ggmap package.
Thank you for your Original Content, /u/iaminternet! I've added your flair as gratitude. Here is some important information about this post:
Nice. What happens if you removed all those zeroes?
Looks like the R value might go up a bit with that. Maybe upload the data set so I could have a play?
EDIT: changed my question slightly.
Title should really be: Population, alone, does not explain WC success. Because you can throw in other regressors (to measure "soccer culture," etc.). After which the result may change.
This was a direct response to World Cup Success per 10M Current Citizens. All I could see looking at that was that it didn't make any sense to compare the two. There have to be much bigger influences like national culture, team funding, country GDP, etc. So, I did a scatterplot on the two variables and tried linear, polynomial, and exponential regressions to show that this is a non-value-added viewpoint. Correlation is .0025 and the p-value of the linear model is .53. I tried a few other models, and results were similar (namely power because population is often an exponentially increasing variable). Finally, I tried excluding China & India as outliers, which produced an R-squared of .03 - still such a weak correlation that I'd never report them as being correlated at all.
For population I used this wikipedia page, and for the world cup data I used this wikipedia page. Then, I calculated "success" the same way as /u/arcadiaDataMan did in his original post - I thought his scoring system was great: 10 for every world cup championship, 5 for every second place finish, 3 for every third place, and 1 for every fourth place.
Thank you for your Original Content, /u/dave47561879! I've added your flair as gratitude. Here is some important information about this post:
Data was taken from my Tinder profile, http://sankeymatic.com was used to generate the visuals
So it looks like for 50% of your matches, neither you nor the match wanted to message the other person.
I’m curious— why swipe right then change your mind so many times? Was it buyer’s remorse, or something else?
Thank you for your Original Content, /u/ConeCandy! I've added your flair as gratitude. Here is some important information about this post:
Data was gathered from DOT reports and infographic was created in Photoshop. Should be noted that this was created several years ago, but incorporated nearly a decade's worth of data when created.
Made with Love in New York City, New Jersey & Monterrey, Mexico.