Q12. Group Initiatives on DE&I

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 hvplot.pandas
import titanite as ti

print(f"Pandas: {pd.__version__}")
print(f"Titanite: {ti.__version__}")

%opts magic unavailable (pyparsing cannot be imported)
%compositor magic unavailable (pyparsing cannot be imported)

Pandas: 2.2.3
Titanite: 0.6.0

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()

2025-05-12 10:04:21.985 | INFO     | titanite.preprocess:categorical_data:135 - Categorize

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,
)
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