And the 100 dollar question: is this better or worse than an average bank from your_country? I have no clue about my own bank. Reading through this list, it seems I should get a clue about my own bank.

[1] https://www.paypal.com/ie/webapps/mpp/ua/third-parties-list

It's really hard to see any reasonable options you have as source of data.

[1] https://en.wikipedia.org/wiki/Triodos_Bank

https://eprint.iacr.org/2017/338.pdf

If anyone can debunk this I’d love to hear more, but generally I think it’s dangerous to rely on claims of secrecy

Reasonably private should be good enough for most people.

Even a coin with higher inflation will still be susceptible as a speculative-investment. It would be nice if there was a way to avoid that, and to keep value relatively-stable, but I can't think of anyway that does require trusting 3rd parties.

https://github.com/shawwn/d4tree

Throw it any JSON data whose structure is isomorphic to http://rebecca-ricks.com/paypal-data/data/paypal.json

Here's an example of how to use d4tree on your site:

https://github.com/shawwn/d4tree-paypal

  git clone https://github.com/shawwn/d4tree-paypal
  cd d4tree-paypal
  yarn && yarn dev

Standard paypal visualization:

https://dist-zlomdidehn.now.sh/

After truncating paypal.json to three nodes, we get a skinny tree:

https://dist-kzpulmmevd.now.sh/

Let's attach package.json to the top of paypal.json:

  import d4tree from 'd4tree';
  d4tree([{
      name: "package.json",
      parent: "null",
      children: require('./paypal.json'),
      Data: JSON.stringify(require('./package.json'), true, 2),
  }]);

https://imgur.com/a/arwF5

Why re-distribute it as a separate repository?

Rebeca Ricks added tooltips, but you haven't generalised these: the code in your repo still generates this text using .Data and .Purpose attributes of the data objects representing the leaves [2], which won't exist for general tree objects.

[1]: https://bl.ocks.org/mbostock/4339083

[2]: https://github.com/shawwn/d4tree/blob/master/js/script.js#L7...

Thanks! :) I did this mostly for the fun of it, but it's nice to know the source. The styling on Mike's tree is much nicer.

It's quite handy to have zooming and tooltips. The zooming is a little rough, but overall this seems like a nice way to explore huge amounts of hierarchical data.

My overall aim is to make an interactive bundle explorer:

https://i.imgur.com/Ww0ARCS.png

Graphviz is nice, but it's not interactive. What you really want is to attach a ton of information to each node, hidden by default. Tooltips are a small but promising step towards that.

It doesn't seem like this library can handle circular dependencies though. Anyone know of something along these lines that can handle arbitrary cycles?

DOT graphs try to display all the nodes at once, but it seems like the Collapsible Tree strategy could be applied to circular graphs: just let the user click on the edges they want to explore, and elide the rest. Then indicate which edges are "interesting" (lots of children, or children with significant effects), so that users aren't randomly stepping through a huge mostly-hidden graph.

I'd love to find something performant enough to display your entire filesystem as an explorable tree, but that'd be quite a challenge.

EDIT: Also, I realize there are some relatively simple and quick solutions to this, but it's definitely way more steps / requires more specific software and/or knowledge to execute as simply as right clicking an image on a website, clicking inspect element, locating the line of code with the image source, downloading and going from there / modifying code to meet needs.

1. What personal data is being used ?

2. What kind of data do websites store in your browser cookie ?

3. Which are the 3rd party tools / services used to share data ?

4. Who are the 3rd parties, the data is being shared with.

(https://chrome.google.com/webstore/detail/json-viewer/gbmdgp...)

this is much easier to read:

http://rebecca-ricks.com/paypal-data/data/paypal.json

They're filed under customer support outsourcing with the "explanation":

> Global Ops Customer service outsourcing for the German market.

> Full Name, Date of Birth, Email address, Physical address, Telephone number, Financials-bank, debit, and credit, Transaction history, Business details including URLs, SSN/TIN/EIN, IP Address. Counterparty details.