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    [OC] Titanic: Überlebende und Nicht-Überlebende nach Geschlecht und Klasse


    1. Ich habe den nativen Dataframe von R namens verwendet "Titanic".
    2. Ich habe R und die Bibliotheken ggplot2, ggthemes und dplyr verwendet

    Dies ist die verbesserte Version. (Ich lerne immer noch, wie man R xD benutzt)

    Von runner_silver

    View 10 Comments

    10 Comments

    2. JonnyMofoMurillo on

      Kinda crazy how many more males were on that boat and Jack was one of the lucky ones who found a woman

    5. BuvantduPotatoSpirit on

      It’s weird that this is used as an intro dataset on Kaggle, because each improvement you make on a model is so marginal (and because small numbers, might take you backwards). After all that effort, you realising coding “Everyone died” is basically good enough.

      Or you use a lookup table, which is of course the right approach for a small dataset with known answers.

    6. Skyblacker on

      Were most of the male survivors were under the age of 18? Women and children first.

      Also, I read that this skew happened because the life boats happened to be closest to the first class cabins. So when everyone got in line, anyone walking from first class was naturally at the front of it. Which I suppose is a systemic issue, though the ship designer probably only saw it in practical or aesthetic terms since he presumed they’d never get used anyway.

      And the gate scene from “Titanic” is inaccurate. The only partitions on the ship were knee-high, more of a suggestion than a restraint. Any adult could walk over it. It’s just that by the time 3rd class did, the lifeboats were mostly launched.

    7. beaushaw on

      Changing the number of people to percent of people would be way more informative.

    9. paspartuu on

      It’d be interesting to see similar charts made of maritime disasters that happened more recently, for comparison

    10. lazyoldsailor on

      I’d like to see that chart with the survivors above the x-axis and the died in below the x-axis. The x-axis could be a wavy line. Above the line the women would be pink and the men in powder blue. Everyone below the x-axis is dark blue/grey. I’d have the men and women alternate: first class women to the far left, next the first class men, then second class women and so on to the right.

      This data is simple enough and has graphics arts potential.

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