Q12. Group Initiatives on DE&I

Question

What do you think about the initiatives on DE&I of your group?

Choices

	Very Good	Good	Poor	Very Poor	No interest	Prefer no to answer
Gender Balance
Diversity
Equity
Inclusion

Note

きちんとリッカートスケールで聞いた方がよかったかもしれない。

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 20:43:36.168 | 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 = ["q12_genderbalance"]
bd = ti.analysis.breakdowns(data, names)
bd.graph.cols(1)

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

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

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

Breakdowns

copied = data.copy()
# copied.info()

x = "q12_genderbalance"
y = "q17_genderbalance"

xlabel = ti.analysis.TITLES.get(x)
ylabel = ti.analysis.TITLES.get(y)

pd.crosstab(data[x], data[y]).T.hvplot.heatmap(
    width=600,
    height=600,
    rot=90,
    xlabel=xlabel,
    ylabel=ylabel,
)

x = "q12_diversity"
y = "q17_diversity"

xlabel = ti.analysis.TITLES.get(x)
ylabel = ti.analysis.TITLES.get(y)

pd.crosstab(data[x], data[y]).T.hvplot.heatmap(
    width=600,
    height=600,
    rot=90,
    xlabel=xlabel,
    ylabel=ylabel,
)

x = "q12_equity"
y = "q17_equity"

xlabel = ti.analysis.TITLES.get(x)
ylabel = ti.analysis.TITLES.get(y)

pd.crosstab(data[x], data[y]).T.hvplot.heatmap(
    width=600,
    height=600,
    rot=90,
    xlabel=xlabel,
    ylabel=ylabel,
)

x = "q12_inclusion"
y = "q17_inclusion"

xlabel = ti.analysis.TITLES.get(x)
ylabel = ti.analysis.TITLES.get(y)

pd.crosstab(data[x], data[y]).T.hvplot.heatmap(
    width=600,
    height=600,
    rot=90,
    xlabel=xlabel,
    ylabel=ylabel,
)