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Download IMF and World Bank `tidy` data From Quandl
This assignment is for the Course "Getting and Cleaning Data" of the Data Science Specialization offered by the John Hopkins University on Coursera.
This project utilizes R to preprocess Spotify's "Unpopular Songs" and "Genre of Artists" datasets from Kaggle. Following tidy data principles, it handles duplicates, transforms variables, scans for outliers, and normalizes data. The resulting clean dataset is ready for statistical analysis, ensuring accurate and ethical data practices.
Working through the book and exercises Pandas for Everyone by Daniel Chen
Using Python to incorporate tidy data framework to COVID-19 data from Ireland, plotly to visualise data, and Flask to publish visualisations a website.
Crime Data for 2016 from National Crime Records Bureau of India
Data Visualization in R - Tidy Data & Data from Wide to Long and Long to Back
Presupuesto de la Nacion de Chile