Enhancing Your Data Manipulation Expertise in R through a Simple Approach
In the midst of job searching and the impact of COVID-19, one individual found an unexpected source for honing their R programming skills - Stack Overflow. With a username of "Marvin," this person realised that Stack Overflow could be a valuable resource for finding non-intuitive problems and solutions, especially those that were beyond the scope of traditional learning resources.
Marvin, who was looking to practice with the recent updates of dplyr 1.0.0, found that existing resources for dplyr practice problems were too basic for intermediate and advanced users of R. Instead, he decided to turn to Stack Overflow, a platform where people can post and find non-intuitive problems and solutions.
Marvin created an account on Stack Overflow with the intention of answering questions. He found that he could sort questions by "Newest" to find questions that likely didn't have answers yet, providing an opportunity to contribute to the global R community. Solving problems on Stack Overflow also offered the chance to learn from others, expanding his own knowledge base.
Marvin discovered that he could attempt to tackle tougher questions by filtering for questions with a bounty, which indicated a higher reward for a solution. He also had the option to post his solutions publicly on Stack Overflow, helping out others who were learning R by answering their questions. Treating problem-solving on Stack Overflow like a workout, Marvin aimed to solve at least 5 questions every day.
In addition, Marvin found that he could code up the answers on his own RStudio without posting them publicly if he preferred. He also had the choice to leave the "Filter by" boxes blank for questions with an answer key, or filter by "No answers" for questions without public answers.
By utilising Stack Overflow, Marvin found a way to engage with the R community, learn from others, and practice his R programming skills in a meaningful and challenging way. His journey serves as an inspiration for others looking to improve their R skills and contribute to the global R community.
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