Analyze Polis data with your own Python scripts
2023-06-21 We collected data by Polis in EC2 on our own.
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59 people data were obtained.
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Export data from Polis DB I did.
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Data: https://gist.github.com/nishio/897cdad38e9a797917f7b8e5a27c7524
py
import pandas as pd
df = pd.read_csv("/Users/nishio/Downloads/polis.csv")
matrix = df.pivot_table(index="pid", columns="tid", values="vote")
print(matrix)
py
matrix = matrix.dropna(thresh=3)
print(matrix.shape)
# => (59, 8)
The paper said 7 was the threshold, but it actually looks like 3.
K-3
Polis: Scaling Deliberation by Mapping High Dimensional Opinion Spaces
It’s done.
:
comment 7
Count of +1 votes in group: 0.0
Count of 0 votes in group: 2.0
Count of -1 votes in group: 12.0
Count of +1 votes outside group: 19.0
Count of 0 votes outside group: 19.0
Count of -1 votes outside group: 7.0
pvalue: 5.840739168435112e-05
Polis clustering and calculation of “characteristic responses” per cluster from CSV of polling data without Polis backend implementation.
2023-06-22
Related next Polis2024-05-13.
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