Organizing Data is Picking What you Care About And some examples on how to pick
Counting Stuff – Rand Au: “…It’s impossible to summarize the huge amount of thought that’s gone into the question of how to organize our data for use.
The people who wrote many books about the topic have put many years more thought into it than I have. But even if you do the briefest of searching about designing data warehouses or organizing data to begin with you’ll find a set of very common names.
Out in the wild, the notion of “Tidy Data” which surrounds the very robust analysis toolset of R and the “tidyverse” family of analysis tools talks about structuring data in a relatively standardized structure. Data is stored according to three simple rules:
- Every column is a variable.
- Every row is an observation.
- Every cell is a single value.
Introducing Badger Swarm: New Project Helps Privacy Badger Block Ever More Trackers
EFF: “Today we are introducing Badger Swarm, a new tool for Privacy Badger that runs distributed Badger Sett scans in the cloud. Badger Swarm helps us continue updating and growing Privacy Badger’s tracker knowledge, as well as continue adding new ways of catching trackers. Thanks to continually expanding Badger Swarm-powered training, Privacy Badger comes packed with its largest blocklist yet. Privacy Badger is defined by its automatic learning.
As we write in the FAQ, Privacy Badger was born out of our desire for an extension that would automatically analyze and block any tracker that violated consent, and that would use algorithmic methods to decide what is and isn’t tracking. But when and where that learning happens has evolved over the years…”
