Q09. Career Satisfaction

Q09. Career Satisfaction#

Question#

Are you satisfied with your career to date?

Choices#

  1. Yes

  2. No

  3. Prefer not 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 10:04:06.487 | INFO     | titanite.preprocess:categorical_data:135 - Categorize

data["q09"].value_counts().hvplot.bar(
    xlabel="Career Satisfaction",
    ylabel="Entries",
    width=600,
    height=400,
)
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