Data Manipulation I dplyr cheat sheet using R
Remember when you spent hours in Excel, manually filtering and sorting data until your brain felt like mush? I know what you're talking about; I've also been there. Those were the dark days of data analysis before we got dplyr for data transformation. But then, in my world of data science development, dplyr rode in like a knight arriving on a data-powered steed. Suddenly, data transformation tasks that took hours were done in minutes, thanks to dplyr. Cleaning, filtering, and transforming data became a breeze, and I was left with more time for what truly mattered: uncovering the hidden stories within the numbers. Please note this cheat sheet is your guide to that same data-driven enlightenment, filled with details about dplyr functionality. The torch cuts through the Excel fog and guides you toward the promised land of efficient, elegant data manipulation. So, leave the spreadsheets in place, and please prepare your dplyr lightsaber. The journey into the world of data science beg…
About the author
Ph.D. Scholar | Certified Data Analyst | Blogger | Completed 5000+ data projects | Passionate about unravelling insights through data.
