The book covers techniques for working with text data, including:
The book covers various data transformation and manipulation techniques, including:
Specialized chapters on working with strings , numbers, and date-time objects. gustavo r santos data wrangling with r
Leveraging group_by and summary functions to condense complex datasets into insights. Mastering the Tidyverse
This paper presents a case study on data wrangling using R. The authors demonstrate how to clean, process, and transform data for analysis using various R packages and techniques. You can try searching for this paper on academic databases or the authors' research profiles. The book covers techniques for working with text
By following this book, readers will gain practical skills in data wrangling with R and be able to apply these skills to real-world data science problems.
Converting numeric data to categorical types or handling missing data . The authors demonstrate how to clean, process, and
This is likely the paper you're looking for, as it's directly related to the topic. Unfortunately, I couldn't find a direct link to the paper. However, I can suggest some possible sources where you might find it: * Gustavo R. Santos' personal website or research profile. * Online libraries or academic databases (e.g., Google Scholar, ResearchGate, Academia.edu). * Conference proceedings or journals that focus on data science, R programming, or statistics.