Q17. Individual Thoughts on DE&I initiatives

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 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 10:04:40.473 | INFO     | titanite.preprocess:categorical_data:135 - Categorize

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",
]
Contents