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Software . 2026
License: CC BY
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Software . 2026
License: CC BY
Data sources: Datacite
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Analyse Notebook of the PID Network Germany quantitative survey data from 202403-05

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Jan 2026 Germany Publisher:PID Network Deutschland
Authors: Czerniak, Andreas;

doi: 10.5281/zenodo.17864409 , 10.5281/zenodo.17864408

Analyse Notebook of the PID Network Germany quantitative survey data from 202403-05

Abstract

This Google Colab notebook documents the processing and statistical analysis of the PID Network Germany quantitative survey dataset collected between March and May 2024, which is based on our survey. It implements fully reproducible workflows for data cleaning and quality checks, variable coding and construction, and the production of questionnaire-aligned descriptive statistics and summary outputs with export of graphics. The notebook uses: Plotly, Pandas, Matplotlib, numpy, geopandas, gspread, Google, gdown, Seaborn, Kaleido, Requests, and other standard Python packages.

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Germany
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average