Q05. Job Title

Q05. Job Title#

Question#

What is your job title?

Choices#

  1. Undergraduate

  2. Master

  3. Doctrate

  4. Postdoc

  5. Fixed-term staff

  6. Permanent staff

  7. 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 20:43:20.580 | 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 = ["q05"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Breakdowns#

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

names = ["q05", "q03_regional"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q05", "q06"]
bd = ti.analysis.breakdowns(data, names, width=2000)
bd.graph.cols(1)

names = ["q05", "q07"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q05", "q09"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

  • 職種別のYesとNoの比率（Yes/No）を考えるとFixed-term（任期付き）が最小になる

  • 任期付のポジションに地域差はない　→　どの地域も大変ということが感じられる

names = ["q05", "q11"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Gender Balance#

  • Q12. Group

  • Q17. Individual

names = ["q05", "q12_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q05", "q17_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

  • グループの取り組みは、Goodが多い、ついで、Poor

    • Fixed-termの方は、Good/Poorの比率が、他の職種より大きい

  • 個人的にも、Gender Balanceの取り組みにAgreeの方がおおい

    • Permanent Staffの方はDisagreeの回答数が相対的におおい？

Diversity#

names = ["q05", "q12_diversity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q05", "q17_diversity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Equity#

names = ["q05", "q12_equity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q05", "q17_equity"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

Inclusion#

names = ["q05", "q12_inclusion"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

names = ["q05", "q17_inclusion"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

  • DEIの取り組みに関する個人の印象を聞いた

    • Gender Balance / Diversity は Disagree と表明する人が少しいる

    • Equity / Inclusion はDisagree があまりいない？