This repository hosts a unique analogy engine crafted to ascertain the permissibility of beverages by analyzing their characteristics and cross-referencing them with a database of established drinks. Employing analogical reasoning, the system draws inspiration from Ibnu Taymiyyah's critique of Aristotelian logic to arrive at its decisions.

The Performance Analyzer of Sorting Algorithms is a Java-based tool designed to provide users with comprehensive insights into the efficiency and effectiveness of various sorting algorithms.

Students explore and observe patterns from raw eddy covariance data and implications towards net ecosystem exchange. Students discover important meteorological and phenological properties that contribute towards the overall ecosystem.

Students examine drought, famine, floods, landslides and other extreme weather events looking through the lens of climate change, while developing skills in Python’s Numpy and pandas.

Explore JSON data online. Analyze with PostgreSQL queries. Visualize and export results effortlessly. Unleash the power of data analysis.

Quickly analyze data visually and see relationships and trends

This repo contains data and code for a web app designed for the visualization and analysis of geospatial data for the ENVS3 course, developed by the DIFUSE project (NSF IUSE-1917002).

Visualisation of movement of center of mass using pyplot.

Analyze the advantages in blackjack using statistics and probabilities

This project aims to migrate data from MongoDB to Google Cloud Storage (GCS) and BigQuery automatically. It enables businesses to easily transfer and analyze the data in the cloud, improving data and cost management.

NTHU_SELECT is a tool that help NTHU students to analyze courses information and choose the most appropriate course .By entering python commands ,we can filter/sort courses in different ways , avoid selecting courses by intuition !

Students examine the effect of different factors on self-rated health in Texas counties using interactive maps and regression analyses in Google Colab Python notebooks.

Students learn the way astrophysicists manipulate observatory data and perform analyses in Google Colab Python notebooks with an emphasis on data visualization and plot interpretation.

Conducted an exploratory data analysis using Python and Pandas to understand the evolution of the Linux operating system.

Use Python and the Pandas library to analyze school district data

Analyze MeteoDiary summer severe weather maps (just for fun)

[Python] Jupyter's notebook illustrating several methods for analyzing a dataset with the historical results of various lotteries. The example shows how to analyze the linear relationship between individual fields, using the extension of the data set with astronomical data, and shows how to visualize the distribution of numbers at individual pos…

Scripts to analyze data from synchrotron X-ray scattering measurements

Google Data Analytics Professional Certificate

Site d'analyse de de données #opendata