Q02. Gender Identity

Question

What gender do you identify as?

Choices

1. Female

2. Make

3. Non-binary

4. Prefer to self-identify

5. 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 20:43:12.630 | 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 = ["q02"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Breakdowns

names = ["q02", "q03_regional"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q02", "q05"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

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

• 男性は分野ごとにばらつきがある

• 女性は割とフラット

names = ["q02", "q07"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q02", "q08"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q02", "q09"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q02", "q11"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q02", "q12_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)