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Interactive Data Visualization designs using D3. Here, two questions were answered from smoking dataset. (1) “Death rates from smoking by age over years“ (Visualization design 1) and (2) “Country wise death rate change over years” (Visualization design 2).
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.
This project is aimed to use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world.