A Python library for calculating a large variety of metrics from text
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Updated
Jan 30, 2026 - Python
A Python library for calculating a large variety of metrics from text
A small collection of lesser-known statistical measures
Astetik takes away the pain from telling visual stories with data on Python
A collection of Python scripts demonstrating core statistical concepts like percentile analysis, Z-scores, modified Z-tests, and cosine similarity with real datasets and visualizations.
Investigate a dataset of appoinment records for Brasil public hospitals
Python package containing functions implemented for descriptive and inferential statistics.
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Python implementation of Cramer's V, often used to find the correlation between two categorical variables.
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Development and deployment of a Plotly Dash dashboard on Google Cloud Platform (GCP) and Heroku
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Exercises and examples proposed by the Statistics discipline.#data-analysis #data-visualization, #hypothesis-testing #inference, #regression #correlation-analysis, #statistical-methods
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A user-friendly GUI application for calculating full descriptive statistics (mean, median, mode, variance, standard deviation, min, max) from a list of numbers with customizable decimal precision.
Within- and across-candidate non-predictive diagnostic analysis of rubric-based profiles using interpretable statistical structure.
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