Q06. Research Domain

Q06. Research Domain#

Question#

Which group do you belong to?

Choices#

  1. CRD: Cosmic-ray physics (Direct)

  2. CRI: Cosmic-ray physics (Indirect)

  3. GA: Gamma-ray astronomy

  4. NU: Neutrino astronomy & physics

  5. SH: Solar & heliospheric physics

  6. DM: Dark-matter physics

  7. MM&GW: Multimessenger & gravitational wave

  8. O&E: Outreach & education

  9. Prefer not to answer

Labels are chosen from ICRC2023 session name

Responses#

import pandas as pd
import hvplot.pandas
import titanite as ti

print(f"Pandas: {pd.__version__}")
print(f"Titanite: {ti.__version__}")

%opts magic unavailable (pyparsing cannot be imported)
%compositor magic unavailable (pyparsing cannot be imported)

Pandas: 2.2.3
Titanite: 0.6.0

f_cfg = "../../../sandbox/config.toml"
f_csv = "../../../data/test_data/prepared_data.csv"
d = ti.Data(read_from=f_csv, load_from=f_cfg)
config = d.config()
data = d.read()

2025-05-12 10:03:54.912 | INFO     | titanite.preprocess:categorical_data:135 - Categorize

names = ["q06"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Breakdowns#

names = ["q06", "q02"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q03_regional"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q05"]
bd = ti.analysis.breakdowns(data, names, width=1500)
bd.graph.cols(1)

names = ["q06", "q07"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q08"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q09"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q11"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Gender Balance#

names = ["q06", "q12_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q17_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Diversity#

names = ["q06", "q12_diversity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q17_diversity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Equity#

names = ["q06", "q12_equity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q17_equity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Inclusion#

names = ["q06", "q12_inclusion"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q06", "q17_inclusion"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
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