Q14. Female Ratio Thoughts

Q14. Female Ratio Thoughts#

Question#

What do you think about the percentage above?

Choices#

  1. Very Good

  2. Good

  3. Poor

  4. Very Poor

  5. No interest

  6. Prefer no to answer

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 10:04:31.526 | INFO     | titanite.preprocess:categorical_data:135 - Categorize

names = ["q14"]
counted = data[names].value_counts(sort=False).copy()

left = counted.hvplot.bar(
    title="Q14: Thoughts on Female Ratio",
    xlabel="Thoughts",
    ylabel="Entries",
    width=600,
    height=600,
    rot=90,
    grid=True,
)

right = counted.hvplot.table()

(left + right).cols(1)
Contents