ids-datatools-hmq-2026 1.0.0

A beginner-friendly Python library for descriptive statistics and data cleaning.

IDS DataTools HMQ 2026

ids-datatools-hmq-2026 is a small, beginner-friendly Python library created for an Introduction to Data Science project. It provides reusable functions for descriptive statistics and common data-cleaning operations without requiring external dependencies.

Installation

pip install ids-datatools-hmq-2026

Quick example

from ids_datatools_hmq import calculate_mean, minmax_normalize, remove_missing

scores = [72, 85, None, 91, 85]
clean_scores = remove_missing(scores)

print(calculate_mean(clean_scores))
print(minmax_normalize(clean_scores))

Output:

83.25
[0.0, 0.6842105263157895, 1.0, 0.6842105263157895]

Available functions

Statistics

• calculate_mean(values)
• calculate_median(values)
• calculate_range(values)
• calculate_standard_deviation(values, sample=False)
• summarize(values)

Data cleaning

• remove_missing(values, missing_markers=(None, ""))
• remove_duplicates(values)
• minmax_normalize(values)
• zscore_normalize(values)
• clip_outliers_iqr(values, factor=1.5)

Command-line demo

After installation, run:

ids-datatools-demo

License

MIT License.