Recent comments in /f/dataisbeautiful

TommyBaseball t1_jaiptw7 wrote

OP: Data analysis is done, and this plot looks good. Just need to add color to some teams to separate them from the grey lines. Let's see, Notre Dame, you can be green.

Notre Dame: My colors are Blue and Gold.

OP: I know, but there are other blue schools and you can't really see gold lines. There aren't going to be any green teams. They all suck. Plus you guys wear green all the time.

Notre Dame: Yeah, but still our official colors are Blue and Gold.

OP: Well, either you take green or I'm giving you orange. The orange teams suck too. Not only is Texas not back, they never were. I have the data to prove it.

Notre Dame: Fine, we'll be green.

OP: Good. Whew, who knew this would be so hard. OK, next up Oklahoma. You guys get Crimson.

Oklahoma: Yes!!

OP: Alright, that was easy. Next up, Alabama. Shit.

Alabama: We want Crimson.

OP: I know, but I just gave that to Oklahoma.

Alabama: We are literally the Crimson Tide.

Oklahoma: We got here first!

OP: Bama don't you have some alternate color?

Alabama: We'll take Houndstooth.

OP: What the fuck is Houndstooth?

Alabama: It's a Black and White checker pattern. It looks sweet on hats and blazers.

OP: Yeah, but this is a line. I can't do a pattern on a 1-D line, that will just make it dashed.

Georgia Tech: While mathematically lines are one-dimensional, when you represent a line, it is necessarily two-dimensional so you could make it patterned.

OP: Shut up Georgia Tech. If I cared what you thought I wouldn't have ignored the first 67 college football history. Bama, you are going to be a black line. That will just have to do. Ok, let's hope for more variety going forward. Next up Nebraska?

Nebraska: Go Big Red!

OP: Damnit. Well, Red and Crimson should be different enough. I'll make it work. How many red teams are there? Let's see who's next. Ohio State.

Ohio State: We want Scarlet.

OP: What the hell is Scarlet?

Ohio State: It's half way between Red and Crimson.

OP: No, not happening. What else?

Ohio State: Our other color is Grey.

OP: You can’t be Grey. The whole point of adding colors is to separate your line from the crappy programs. I’m just going to make you Magenta. It’s red adjacent. No more red teams!! Who’s next? Southern Cal? Aaaarrgh. No, no Red or Crimson or Scarlet or whatever the hell you call your unique shade of red that is really just red. You are getting yellow, and I don’t care if no one can see it.

Southern Cal: We’re called Southern California.

OP: What?

Southern Cal: We prefer to be called Southern California.

OP: That’s too long, what’s wrong with Southern Cal?

Southern Cal: It is not our name. Our name is Southern California.

OP: Fine, I’ll mess with the kerning to get it to fit, but you are OK with a yellow line?

Southern Cal: Whatever.

Ohio State: Hey, if we are talking about official names . . .

OP: NO! Stop right there. That’s it. I’m done. You six teams, congrats on being the six most successful and insufferable college football programs of all time.

Notre Dame: Hey, you never ended up needing Blue. Can I have that?

OP: No. I’m finding a Blue team just to spite you. What crappy team is up next on this list? Perfect, Blue and insufferable. Join the club Michigan.

Michigan: We would rather be Maize.

OP: What the hell is Maize?

Ohio State: It’s Yellow, like piss.

Michigan: It is the color of corn.

Nebraska: Did someone say corn?

OP: No, go back to sleep Nebraska. Michigan, you are Blue. That’s it. We’re done.

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Celestaria t1_jaijjkx wrote

Looking at the link from OP, that specific data point seems to be based on the results of this study:

https://www.researchgate.net/publication/325118509_Determination_and_Quantification_of_Household_Solid_Waste_Generation_for_Planning_Suitable_Sustainable_Waste_Management_in_Nigeria

There's a PDF provided there by the researcher. Methods are on page 3, but to paraphrase, it's based on a stratified random sampling of 100 households (a total of 334 people) in Sapele.

A relevant quote from the results:

>By percentage composition, food waste has the highest (75%), the composition of food waste consists mainly of food left-over, vegetables, fish and meat waste, fruits, peels (cassava, yam, potato, orange, pawpaw, banana, plantain etc.).

They didn't really go into why so much waste is being generated, only suggested that much of this could be composted or used to generate green energy.

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AverageAustralian111 t1_jaif2lc wrote

Sure,

In some countries, prices are higher than in others. For example, a loaf of bread in Australia might cost around $3, but in China, around 2 Yuan (which exchanges to about 50c. So (measuring it only by bread prices) $1 in China is worth 6 times as much as $1 in Australia.

If you do this for all products and weight it by the amount of each product that normal people buy, you can find the cost of living in a country. Real wages are wages/cost of living

So in the example above, NZ has a minimum wage of $US14.18, but because things are slightly more expensive in NZ than in the US, that amount of money can buy the same amount of stuff in NZ that $US11.90 could buy in the US.

When you adjust for PPP, you take this into account. If you ever see "real" vs "nominal" figures, real means adjusted for PPP, and nominal means not adjusted

42

alliseeis23 t1_jaiep1h wrote

The lack of basic electrification (leading to a widespread lack of refrigeration) is the main cause of such high food waste In subsaharan Africa.

For those saying that its tragic because “they don’t even have enough food to survive” this is a grave misconception. The issue with the vast majority of African nations (expect for extreme cases like Somalia) is not lack of food but lack of food diversity. The issue in modern day Africa is not starvation …. It’s malnutrition.

Many of these nations, Nigeria included, could be the breadbaskets of the world if fertilizer and government support were better distributed (or offered at all).

1

kompootor t1_jaieb2x wrote

The pull-box in the lower-left has a quote not from the source:

>There appears to be no significant difference in food wastage between developing and developed countries, suggesting that most countries can implement similar actions against food waste.

Nothing like this is said in the UNEP report, and as u/Recolino points out, waste in developing countries is going to be due more to a large areas that lack refrigeration, industrial preservatives, and hardy strains of crops. Obviously that is a completely different problem, and a far more urgent one, than in the developed world.

This illustrates why in the best visualizations you should clearly indicate if there are some parts that are taken or summarized directly and precisely from your source, and another part is your own summary or synthesis or additional calculations. In this case the textbox is obviously your own words, but the first three are just basic numbers that could easily be checked (though be careful as some of the numbers do not have generally clear definitions, such as continent averages, if they are not explicitly enumerated in the source). A direct quote on solutions from the source is also verifiable. A statement in your own words, however, could possibly summarize the source text, but requires a much closer reading to verify than Ctrl+F, and could also be taken from a specific cited paper within if that source was not made explicit. All of this verifiability (and your own words are verifiably yours, as long as you explicitly denote it as such) goes to making a visualization usable outside of internet memes.

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