A collection of interpretive chemical tools for analyzing outputs of the quantum chemistry calculations.
Comprehensive, detailed and interactive plots for STRUCTURE and ADMIXTURE population analysis
Strategy for improved characterisation of human metabolic phenotypes using a COmbined Multiblock Principal components Analysis with Statistical Spectroscopy (COMPASS)
This project is the final assignment in the course Analysis of Spatial Temporal Data given during the winter semester at the Institute of Geoinformatics, Muenster.
SQL data analysis project exploring NYC Squirrel Census data using SQL queries, aggregations, filtering, and behavioural analysis to identify squirrel population patterns, activity trends, environmental influences, and location-based insights.
SQL demographic analysis project exploring CIA World Factbook data using SQL queries, aggregations, subqueries, and statistical analysis to examine population trends, population density, growth rates, and global country-level demographic patterns.
The World Population Data Analysis project explores global demographic trends, including population size, density, growth, and fertility rates. It examines urbanization impacts, rural-urban dynamics, and challenges associated with aging populations, providing insights into global demographic changes and their implications.
A beginner Python project that stores and analyzes information about Indian states using lists, dictionaries, loops, and conditions.
Analyzed global population trends with SQL and Power BI, revealing key shifts and future projections.
End-to-end demographic risk analysis for EU countries combining SQL modelling, Python forecasting, and Power BI reporting.
This repository contains an R-based data science project focused on global population analysis using Worldometer data. The project includes web scraping, data cleaning, exploratory data analysis, feature engineering, population pressure labeling, regression modeling, and classification modeling.
A pretty way to represent a population!
End to end World Bank data analysis project using Python to clean, transform, and analyze global economic indicators such as GDP and population, with time series exploration, statistical insights, and data visualization.
GIS-based Namma Metro walking accessibility and population analysis for 5, 10, and 15-minute walking catchments.
Python program that analyzes data from a CSV file
“Interactive World Population Dashboard (2005–2014) using Looker Studio | Insights on population, internet & mobile growth”
Application console en C pour analyser les effectifs de populations
This project contains utility classes for working with population records as encrypted datasets.
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