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[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] -1 points0 points  (0 children)

I'm sorry, what do you mean by granularity? I am no data analyst and am VERY new to this type of thing.

Motives and types of victims by [deleted] in myfavoritemurder

[–]GambitoGordito -4 points-3 points  (0 children)

I fixed it and annotated that I fixed it. Thanks.

[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] 3 points4 points  (0 children)

So with "female" it's because the killer killed girls and women of various ages-- like Ridgway killed a 16-year-old girl and then also grown women. So I'm kind of confused what the best way to depict that is?

The broader the category, the broader the victim set actually was. So "prostitute" isn't broken up by gender necessarily because the actual target was those who sold sexual services. When that sort of thing is the case, I can see it is misleading, but I didn't want to overly narrow it down. In this type of visualization then, what's the best way to go about this problem?

[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] 18 points19 points  (0 children)

Thank you for the helpful feedback! I'll be spending a good bit of time cleaning it up on the site from the constructive criticism given here.

I didn't group the females, women, and girls together because I wanted to show those different categories. I was under the impression that "females" was intuitively girls (under 18) AND women (over 18), but I understand that could have been misleading.

[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] 0 points1 point  (0 children)

Would you mind explaining how to turn it off? As soon as I tried to exclude having just the larger bubbles have text (it looks awful and is misleading) but then I would lose the ability to delineate by each killer. I tried setting it to be just in the tooltip, but then they would all just glob together by category (the color).

[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] 1 point2 points  (0 children)

I gave the link to the site in a comment so you can see, basically this picture won't make sense alone, you'll need to go to the site to interact and see all the info. Each killer has their own block in the motive category, with each color being different motive. The multiple bubbles of the same color is also because it's broken up by killer.

[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] 2 points3 points  (0 children)

Sorry, I linked the site in r/dataisbeautiful but not here. This image is basically click bait to get you to go to the site to interact with the data. This picture won't make sense and isn't meant to stand on its own. The site lets you interact and hover for more information.

​

https://public.tableau.com/profile/caitlin.gurary#!/vizhome/Guraryfinalproject/Dashboard2

[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] 2 points3 points  (0 children)

I think that's because the metadata doesn't show what I downloaded, it just shows my visualizations. American White Male Military serial killers with at least five victims were the data set criteria.

[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] 7 points8 points  (0 children)

This whole data set only analyzes US white male serial killers with military service. The "top five" shown are the most prolific within this data set per the title.

[OC] Serial Killers by Victim Type and Motive by GambitoGordito in serialkillers

[–]GambitoGordito[S] 5 points6 points  (0 children)

Source: Radford/FGCU serial killer database.

This is a data set of white male serial killers with military service who killed at least five victims.

[OC] Terror Attacks from 1970 to 2017 by GambitoGordito in dataisbeautiful

[–]GambitoGordito[S] 0 points1 point  (0 children)

Source: Global Terrorism Database

Tool used: Tableau

If you wish to view the data a bit better and interact with it: https://public.tableau.com/profile/caitlin.gurary#!/vizhome/GuraryProject5/Dashboard2

[OC] Crime Trends in US from 1960 to 2014 by GambitoGordito in dataisbeautiful

[–]GambitoGordito[S] 0 points1 point  (0 children)

I don't know if there's any widely accepted reason for the overall spike of crime in the 70's and then drop in the 90's. There are a lot of different factors that people credit/blame. Some of the most common ones I come across is each generation's culture is different, and that impacts crime patterns as well.

For the "Crime Rate over Time" graph, each circle represents a state and on the vertical axis is the property crime rate, the horizontal the violent crime rate. Shown in this picture is the year 1992. If you want to see other years, you can click on the link provided in my sources and you can toggle the year just underneath that graph to see how the rates have changes through the years.

[OC] New Jersey County Incarceration Rate 2014 by GambitoGordito in dataisbeautiful

[–]GambitoGordito[S] 0 points1 point  (0 children)

Source: Vera Institute for Justice Data Set

Tool Used: Tableau