[OC] Protein vs. Calorie Density: A Visual Guide

Posted by Andres_A

43 Comments

  1. # # How to read this scatter plot

    On the axis, as you move towards the right, the food becomes more calorie-dense. Similarly, moving upwards indicates increasing protein density.

    Consequently:

    * Top left indicates foods with high protein content per calorie and low calorie count per 100g.
    * Bottom right represents foods with low protein content per calorie but high overall calorie count per 100g.
    * Top right denotes foods with high protein content per calorie and high calorie count per 100g.
    * Bottom left signifies foods with low protein content per calorie and low calorie count per 100g.

  2. Any-Ninja-4174 on

    May be a dumb question, but for easier comparability why wouldn’t you just do a bar chart of g protein per kcal?

  3. Electrical_Dinner773 on

    Wouldn’t it make more sense to compare either 100g to 100g or 100kcal to 100 kcal. This makes it seem that may foods are better for protein intake than whey, and that’s just not true.

  4. Ok people, THIS is what beautiful data looks like. Well-considered axes, good spacing and useful information in a digestible format with color only used a secondary indicator. It’s not flashy, it’s not squiggly or “fun”, it’s a useful way to convey good information. It is the ideal graph. You may not like it, but this is what peak data looks like.

  5. This chart is not accurate. Almost every whey protein in existence is somewhere in the range of 25g of protein with 140-160 calories. Another one I noticed is an egg which is typically in the range of 7-8g protein per egg at around 70 calories each

  6. The8thHammer on

    i assume this is for whole animal when it comes to animal proteins seeing that chicken is so far down but chicken breast would be on top if it was listed as breast?

  7. Puzzled_Draw6014 on

    It seems a bit misleading because it’s protien per calorie, then calorie per weight… but maybe this is the standard way for the field of nutrition?

  8. Hake point is impossible. Each gram of protein contains 4 calories, thus, 100 g of hake has at least 92 calories from 23 g of protein.

  9. i read turkey and was looking for germany, for straight 20 seconds…. then i realized

  10. british-and-fittish on

    u/andres_A please could do also do this for fibre vs calorie density? 🙏🏼

  11. spageddy_lee on

    This is pretty good. As someone who is a barbell and nutrition enthusiast that tries to eat as much from plants as I can, I would consider a few more for the protein to kcal ratio:

    Pea protien ~ 23%

    Gluten flour (seitan) ~ 18%

    Texturized Vegetable Protien ~ 14%

  12. NacogdochesTom on

    The y axis (protein % for 100 kcal) is problematic. If it’s protein % by weight (as would be expected), then dividing by 100 kcal makes no sense. Is it supposed to be protein /100 kcal? That would make more sense except now you are plotting a quantity that is dependent on the x axis (kcal/100g).

    Protein/100g vs. kcal/100g would make more sense.

  13. Protein per calorie* Vs calorie density. Fixed it for you.

    This doesn’t make sense to me, why not use protein per 100 g?

  14. Sorry if I’m being stupid, but why does it says protein% for 100kcal? Surely the percentage should remain constant no matter the amount, right?

  15. slamdamnsplits on

    “chicken” should probably be broken down to breast and thighs as they are quite different within the context of this chart.

    Same with “eggs”. Whites vs whole vs yolk makes a big difference.

  16. Y axis seems to be the amount of protein in grams per 100 kcal in percentages. What kind of weird stat is that?

  17. Maybe this could be easier to understand with a 3d plot of protein vs kcal vs grams?

  18. Interesting data but bad representation. Protein per calorie is already what you care about in this type of correlation so the X axis is sorta useless. Also the colour coding if I’m not mistaken is exactly the same as the y axes, which makes it so this plot as one colour and two axes for communicating only 1 thing

  19. GryptpypeThynne on

    r/dataisbeautiful strikes again…basic ass scatter plot, poorly chosen axes, barely even labeled properly, spelling mistakes

  20. Tofu way better than expected

    However, is this beautiful data? I’m not so sure…