GitHub / sagarikamehta / Exploratory-Data-Analysis-on-The-World-Happiness-Report-Datasets
Performed exploratory data analysis (EDA) in python on the world happiness report datasets (for years 2015, 2016, 2017, 2018, and 2019) from Kaggle; to analyze how measurements of well-being can effectively help assess the progress of nations across the world.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sagarikamehta%2FExploratory-Data-Analysis-on-The-World-Happiness-Report-Datasets
PURL: pkg:github/sagarikamehta/Exploratory-Data-Analysis-on-The-World-Happiness-Report-Datasets
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 41 KB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago
Topics: data-analysis, data-science, exploratory-data-analysis, hierarchical-clustering, information-design, interactive-data-visualization, k-means-clustering, matplotlib, numpy, pandas, pearson-correlation-coefficient, plotly-python, python, scikit-learn, seaborn, simple-linear-regression, statistical-graphics, supervised-learning, unsupervised-learning