iiasa/ipcc_sr15_scenario_analysis

Derived variables

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#6 opened on Nov 5, 2018

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good first issuehelp wantediamc15 data issue

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Description

It would be nice to have a handful of "standard" derived variables added to the database without the need to calculate them by hand. Initial candidates would be per capita values for final/primary energy (total), GDP, emissions, and intensities of energy/GDP, emissions/GDP, or emissions/energy. The Kaya decomposition indicators would be a good first step: https://en.wikipedia.org/wiki/Kaya_identity

Contributor guide

Research direction
Explore the database schema and existing variables, then implement a function to calculate derived variables like per capita values and Kaya decomposition indicators.
Tech stack
python
Domain
databackend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
Pythonpandas
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60