Experiment Overview
This experiment is used to show the correlation between the yearly climate values and the used energy resources, in the years 1992-2016. The idea is that the climate has an impact on the amount of energy needed. The input data for this experiments is taken for the climate values from data.gv [1] and for the energy resources from Statistik Austria [2].
Run the experiment
To reprocude this experiment the following requirements have to be fullfilled:
- RStudio Desktop 1.2.1335
- RStudio requires R 3.0.1+
To run the experiment just run the experiment.R file in RStudio.
Make sure that the working directory is properly configured, by setting in the RStudio menu:
Session\Set working directory\To source file location
Afterwards, the code can be executed, which transforms the input data, genereates the output data and plots the graphs automatically.
The data generated is made up of:
| Value | Data type | Description |
|---|---|---|
| Year | Date (yyyy) | The year of the observation |
| C_ICE_DAYS | Numeric | The number of days where ice was present |
| C_SUMMER_DAYS | Numeric | The number of days defined as summer days (>24°C) |
| C_MEAN_TEMP | Numeric | The average temperature in degree celsius |
| E_RENEWABLES | Numeric | The amount of renewable resources used in peta Joul |
| E_OIL | Numeric | The amount of oil resources used in peta Joul |
| E_GAS | Numeric | The amount of gas resources used in peta Joul |
Input data credits
Climate data
https://www.data.gv.at/katalog/dataset/e6d471ec-f983-4e9a-b435-957cfc1bb48c
Creative Commons Namensnennung 4.0 International
Datenquelle: Stadt Wien – https://data.wien.gv.at
Energy resources
http://statcube.at/statcube/opendatabase?id=deebilanz
STATcube - Statistische Datenbank von STATISTIK AUSTRIA
http://statcube.at/statistik.at/ext/statcube/jsf/terms.xhtml