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#TidyTuesday is a weekly social data project in R which encourages participants to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem
This lecture is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). 🎓
In this repository, I've explored R programming, from basics to advanced concepts, for statistical models, data analysis, and data science. 📊🔍 Join me on this enriching journey! 🚀
This repository contains very messy data on the Billboard Top 100 from 2000. I am using this data set to improve at data cleaning / wrangling. The aim was to create a Cleveland Dot Plot which shows the progression of number 1 songs over time from that year.