Q11. Diversity Session Signup#
Question#
Did you already sign up for the diversity session in ICRC2023?
Choices#
Yes
No
Prefer not to answer
Responses#
import pandas as pd
import titanite as ti
print(f"Pandas: {pd.__version__}")
print(f"Titanite: {ti.__version__}")
Pandas: 3.0.2
Titanite: 0.7.0
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()
2026-05-11 20:43:33.562 | ERROR | titanite.config:load_toml:87 - File not found: ../../../sandbox/config.toml
---------------------------------------------------------------------------
Exit Traceback (most recent call last)
Cell In[2], line 4
1 f_cfg = "../../../sandbox/config.toml"
2 f_csv = "../../../data/test_data/prepared_data.csv"
3 d = ti.Data(read_from=f_csv, load_from=f_cfg)
----> 4 config = d.config()
5 data = d.read()
File ~/work/surveys/surveys/titanite/config.py:261, in Data.config(self)
259 def config(self):
260 c = Config(load_from=self.load_from)
--> 261 return c.load_config()
File ~/work/surveys/surveys/titanite/config.py:95, in Config.load_config(self)
94 def load_config(self) -> dict:
---> 95 config = self.load_toml()
96 return config
File ~/work/surveys/surveys/titanite/config.py:88, in Config.load_toml(self)
86 if not fname.exists():
87 logger.error(f"File not found: {fname}")
---> 88 raise typer.Exit(code=1)
90 with fname.open("rb") as f:
91 config = tomllib.load(f)
Exit:
names = ["q11"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
事前アンケートに協力してくれる = Diversityの取り組みへの関心度が高い = Diversity Sessionに参加する
と想定していた。
Diversity Sessionに参加しない多くの方が回答してくれた。
Breakdowns#
names = ["q11", "q02"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q11", "q03_regional"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q11", "q05"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q11", "q06"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
Gender Balance#
Q11. singupしたかどうかと、Q17(個人の賛否)は関係がありそう
names = ["q11", "q12_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q11", "q17_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
Diversity#
names = ["q11", "q12_diversity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q11", "q17_diversity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
Equity#
names = ["q11", "q12_equity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q11", "q17_equity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
Inclusion#
names = ["q11", "q12_inclusion"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)
names = ["q11", "q17_inclusion"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)