Jan Krag JKrag

Exploring cat pedigrees in Neo4J

This is a Neo4J GraphGist where I discover how to model pedigrees in Neo, and various Cypher queries to explore the data.

The data used is from a public available online pedigree of cats. I have stripped of all the names and registration data for simplicity. From a large dataset, I have extracted all the cats belonging to the very small breeds, giving a total of about 600 cats instead of 200K.

The following picture shows a sketch of my general data-model. The arrows between cats could also have been illustrated as "recursive" arrows back to the same cat node-type, but I think that this visualisation better describes the DAG (Directed Acyclical Graph) property of a pedigree/family tree.

Kære deltager.

Mit navn er Jan Krag, og det er mig, der skal undervise jer på IDA-kurset ”Mastering Version control with Git” den 9.-10. december.

Til dette kursus vil det være en stor hjælp hvis alle deltagere har installeret Git på forhånd. Gerne en nogenlunde ny version. Den nyeste for tiden hedder 2.24, men 2.18 eller 2.19 og frem burde ikke give problemer.

Windows: Download passende installer fra: https://git-scm.com/download/win

Mac: Enten Download fra: https://git-scm.com/download/mac eller brug Homebrew med “brew install git”.

Dear participant, in order to be prepared for our Git course please make sure that you have Git up and running.

You should be working with a reasonably recent version. The newest at time of writing is 2.42.1, but 2.28 and forward should be good enough for our needs.

Windows: Download appropriate installer from: https://git-scm.com/download/win

Mac: Download from: https://git-scm.com/download/mac or use Homebrew with brew install git.

Linux: Instructions for various distributions can be found at https://git-scm.com/download/linux

	= Exploring Cat pedigress in Neo4J
	:author: Jan Krag
	:twitter: @jankrag

	This is a Neo4J GraphGist where I discover how to model pedigrees in Neo, and various Cypher queries to explore the data.

	The data used is from a public available online pedigree of cats. I have stripped of all the names and registration data for simplicity.
	From a large dataset, I have extracted all the cats belonging to the very small breeds, giving a total of about 1000 cats instead of 200K.

	The following picture shows my general sketch of the data-model. The arrows between cats could also have been illustrated as "recursive" arrows

	+++++ +++++ initialize counter (cell #0) to 10
	[ use loop to set 70/90/110/30/10
	> +++++ ++ add 7 to cell #1
	> +++++ ++++ add 9 to cell #2
	> +++++ +++++ + add 11 to cell #3
	>+++ add 3 to cell #4
	> + add 1 to cell #5
	<<<<< - decrement counter in cell #0
	]
	> ++++ . Increment cell #1 to 74 and print 'J'

	// title : OpenJSCAD.org Logo
	// author : Rene K. Mueller
	// license : MIT License
	// revision : 0.003
	// tags : Logo,Intersection,Sphere,Cube
	// file : logo.jscad

	function main() {
	return union(
	difference(

	echo "--- Containers ------------------------------------------------------"
	hyper ps -a
	echo "--- Volumes ---------------------------------------------------------"
	hyper volume ls
	echo "--- Images ----------------------------------------------------------"
	hyper images
	echo "--- FIP'S -----------------------------------------------------------"
	hyper fip ls
	echo "--- Services --------------------------------------------------------"
	hyper service ls

	echo "--- Containers ------------------------------------------------------"
	if [[ $(hyper ps -aq) ]]; then
	echo "Deleting containers:"
	hyper rm -v -f `hyper ps -aq`
	else
	echo "no containers found"
	fi
	echo "--- Volumes ---------------------------------------------------------"
	if [[ $(hyper volume ls -q) ]]; then
	echo "Deleting Volumes:"