Count Function in R I dplyr::count()

Count Function in R I dplyr::count()

Data analysis is all about turning raw data into actionable insights. I was working on a research project analyzing survey data from thousands of respondents. The clock was ticking, and I needed to summarize responses to hundreds of questions quickly. Manually counting each response would have taken days, if not weeks.  Then, I discovered the magic of the  count  function in R. In a matter of minutes, I transformed a messy dataset into a neatly summarized table, revealing patterns and trends that were previously hidden. That's the power of the  count  function – it's a game-changer for data analysts of all levels. You can read more about count function. Table of Contents Key points The count function in R's dplyr package summarises the frequency of values within a dataset. Forget manual counting; count does the heavy lifting for you.   Count effortlessly adapts to your data's structure when dealing with categorical factors like car models or numeric variables like horsepower.  C…