Q17. Individual Thoughts on DE&I initiatives

Question

What are your thoughts on DE&I initiatives?

Choices

	Agree	Disagree	No interest	Prefer no to answer
Gender Balance
Diversity
Equity
Inclusion

Note

これはQ12と比較できるような選択肢にしたほうがよかったかもしれないです。 また、選択肢もリッカートスケールで測れるようにしたほうがよかったかもしれないです。

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 20:43:46.449 | 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: 

data["q17_genderbalance"].value_counts(sort=False).hvplot.bar(
    label="Q17. Gender Balance",
    xlabel="Thoughts",
    ylabel="Entries",
    width=600,
    height=400,
)

data["q17_diversity"].value_counts(sort=False).hvplot.bar(
    label="Q17. Diversity",
    xlabel="Thoughts",
    ylabel="Entries",
    width=600,
    height=400,
)

data["q17_equity"].value_counts(sort=False).hvplot.bar(
    label="Q17. Equity",
    xlabel="Thoughts",
    ylabel="Entries",
    width=600,
    height=400,
)

data["q17_inclusion"].value_counts(sort=False).hvplot.bar(
    label="Q17. Inclusion",
    xlabel="Thoughts",
    ylabel="Entries",
    width=600,
    height=400,
)

names = [
    "q17_genderbalance",
    "q17_diversity",
    "q17_equity",
    "q17_inclusion",
]