Data Underlying Opinion Dynamics poster at ESSA in Glasgow in 2023
doi: 10.4121/6ca3d747-ac81-4571-be33-af1948b0dfba
CC BY-SA 4.0
The data are aggregated opinion averages over time of polls on a 5-point scale concerning questions about climate change and the energy transition. This is the data repository for the poster I made for the ESSA conference in Glasgow 2023. My aim with this was to get a first grip on inverse modelling and share what I have learned with the community. I'm happy to share the poster for more context and content upon request via lschubotz@tudelft.nl. The code I've used this data for is available on the TU Delft GitLab. I gratefully acknowledge the support of Populytics in this research project who provided the data. Here, I provide the aggregated data as it went into the model. Column 1 is the time stamp, column 2 is the value I used, the latter being the aggregated mean value of the votes during that time stamp.
- 2024-02-15 first online
- 2024-03-06 published, posted
DATA
- 296 bytesMD5:
cc4f8e54152f8655649ef1af4d9d7b35datareadme_v2.txt - 1,475 bytesMD5:
c1a4a0fcb6130c981b5a82fd67b9d326EZK_meer.csv - 1,398 bytesMD5:
8f2f7e2eb3eff366a85df45932913c1bEZK_twijfel.csv - 1,471 bytesMD5:
3355aed8f8bdd793590fb7235798c351EZK_zorgen.csv - 762 bytesMD5:
2b3473e8ecc612b106c48a9f25d28e9aVHL_zorgen.csv -
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