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Orange Data Mining examples with Lexicographī Sine Fīnibus

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Lexicographī Sine Fīnibus dictiōnāriīs cum Orange Data Mining

This repository contains .ows Orange3 workflow files for some use cases.

PROTIP: consider also the https://orangedatamining.com/workflows/ and the Youtube Channel https://www.youtube.com/channel/UClKKWBe2SCAEyv7ZNGhIe4g

How to use the files

Each .ows requires Orange3 installed. The next steps explain one way to do it

Setup

# Minimal
pip install orange3

# Additional
pip install Orange3-Geo
pip install Orange3-Timeseries
pip install orange3-text
pip install Orange3-Explain

# @TODO explain how to install https://github.com/fititnt/orange3-hxl

Download caches (optional)

./999999999/0/download-test-datasets.sh

Running Orange3

orange-canvas

Preparing new release

Why? Orange working files store base64 encoded data with <properties format="pickle"></properties>. This command remove them and save on the git tracked files.

./999999999/0/prepare-orange-files.sh

To Dos

For sake of allow comparisons, regardless of have very detailed tables (such as by year 1960-2020) to allow comparisons, is necessary to know baselines (likely last year, even if approximate) for features such as:

Generic baseline

Tier 1

Tier 2

Tier 3

Not sure about these ones

(Example of target data)

License

Public Domain Dedication

The EticaAI has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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