GitHub topics: world-data
amckenna41/iso3166-2
A lightweight Python package, and accompanying API, that can be used to access all of the world's most up-to-date and accurate ISO 3166-2 subdivision data, including: name, local name, code, parent code, type, latitude/longitude, flag and more.
Language: Python - Size: 2.17 MB - Last synced at: 20 days ago - Pushed at: 11 months ago - Stars: 14 - Forks: 1
Megaemce/correlations.world
Correlations between various world data
Language: JavaScript - Size: 3.22 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
karnagetm/World-Data-FYP
This website, crafted with HTML, delivers an interactive dive into European health, emissions, mortality, and trade data, through engaging Tableau visualizations for insightful trend analysis and public policy discourse.
Language: HTML - Size: 362 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
CapregSoft/Hawqal-go
Golang package that contains the data of world's countries, states and their cities name. It's easy for the end-user to get all the data by just calling the relevant functions
Language: Go - Size: 11.6 MB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 2
CapregSoft/Hawqal-node
Node package that contains the data of world's countries, states and their cities name. It's easy for the end-user to get all the data by just calling the relevant functions
Language: JavaScript - Size: 8.22 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
CapregSoft/Hawqal-python
Python package that contains the data of world's countries, states and their cities name. It's easy for the end-user to get all the data by just calling the relevant functions
Language: Python - Size: 8.3 MB - Last synced at: 26 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
guevara-erik/Wolrldwide-Suicide-Rates-Bivariate-Analysis
Problem to solve: find the patterns for increased suicide rates (1985 to 2016) among different cohorts globally, across the socioeconomic spectrum, using exploratory data analysis. Using bivariate analysis, I try to determine if there is any relationship between two variables.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
