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
Each .ows requires Orange3 installed. The next steps explain one way to do it
# 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
./999999999/0/download-test-datasets.shorange-canvasWhy? 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.shFor 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:
- Surface area (sq. km)
- Total population
- CO2 emissions (kt)
- GDP (current US$)
- https://data.worldbank.org/indicator/NY.GDP.MKTP.CD
- nominal GDP (P2131) https://www.wikidata.org/wiki/Property:P2131
- Related:
- nominal GDP per capita (P2132) https://www.wikidata.org/wiki/Property:P2132
- GDP (current LCU) https://data.worldbank.org/indicator/NY.GDP.MKTP.CN GNI (current US$)
- Note: can be alternative to GDP
- https://data.worldbank.org/indicator/NY.GNP.MKTP.CD
- Related:
- GNI (current LCU) https://data.worldbank.org/indicator/NY.GNP.MKTP.CN
- Total reserves (includes gold, current US$)
- Stocks traded, total value (current US$)
- Renewable internal freshwater resources, total (billion cubic meters)
- Literacy rate
- literacy rate (P6897) https://www.wikidata.org/wiki/Property:P6897
- https://data.worldbank.org/indicator/SE.ADT.LITR.ZS
- Note to self: strange. It's incomplete
- Labor force, total
- Unemployment
- unemployment rate (P1198) https://www.wikidata.org/wiki/Property:P1198
- https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS
- This other migth be relevant: https://data.worldbank.org/indicator/SL.EMP.TOTL.SP.ZS
- Arable land (% of land area)
- Agricultural land (% of land area)
- Forest area (sq. km)
- Live expectancy
- life expectancy (P2250) https://www.wikidata.org/wiki/Property:P2250
- https://data.worldbank.org/indicator/SP.DYN.LE00.IN
- Gini coefficient
- https://data.worldbank.org/indicator/SI.POV.GINI
- Gini coefficient (P1125) https://www.wikidata.org/wiki/Property:P1125
- Human Development Index (P1081)
- Human Development Index (P1081) https://www.wikidata.org/wiki/Property:P1081
- GDP divided by the population total and adjusted for CPI
- PPP GDP per capita (P2299) https://www.wikidata.org/wiki/Property:P2299
- https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD
- Armed forces personnel, total
- Average precipitation in depth (mm per year)
Not sure about these ones
- Location, continent
- continent (P30) https://www.wikidata.org/wiki/Property:P30
- rural population
- https://data.worldbank.org/indicator/SP.RUR.TOTL
- rural population (P6344) https://www.wikidata.org/wiki/Property:P6344
- urban population (P6343)
- Other
- Potential hints being colony in the past
- Military expenditure (% of GDP)
- Tax revenue (% of GDP)
- Refugee population by country or territory of origin
- Refugee population by country or territory of asylum
- Internally displaced persons, total displaced by conflict and violence (number of people)
- Internally displaced persons, new displacement associated with conflict and violence (number of cases)
- Internally displaced persons, new displacement associated with disasters (number of cases)
- Prevalence of moderate or severe food insecurity in the population (%)
- Prevalence of severe food insecurity in the population (%)
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