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8.4.4 filter() and join() in a sequence.

8.4.3 inner_join() to merge data frames, only keeping observations with a match in both.

8.4.2 left_join(x,y) to merge data frames, keeping everything in the ‘x’ data frame and only matches from the ‘y’ data frame.

8.4.1 full_join() to merge data frames, keeping everything.

8.4 dplyr::*_join() to merge data frames.

8.3.6 stringr::str_detect() to filter by a partial pattern.

8.3.5 Activity: combined filter conditions.

8.3.4 Filter to return observations that match this AND that.

8.3.3 Filter to return rows that match this OR that OR that.

8.3.2 Filter rows based on numeric conditions.

8.3.1 Filter rows by matching a single character string.8.3 dplyr::filter() to conditionally subset by rows.7.7 stringr::str_replace() to replace a pattern.7.6.2 tidyr::separate() to separate information into multiple columns.7.6.1 tidyr::unite() to merge information from separate columns.

7.6 tidyr::unite() and tidyr::separate() to combine or separate information in column(s).7.5 janitor::clean_names() to clean up column names.7.4 tidyr::pivot_wider() to convert from longer-to-wider format.7.3 tidyr::pivot_longer() to reshape from wider-to-longer format.7.2.2 read_excel() to read in data from an Excel worksheet.7.2.1 Create a new R Markdown and attach packages.6.5.1 Knit, push, & show differences on GitHub.3.8 Assigning objects with % summarize().

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3.4.3 Writing code in a file vs. Console.2.2 Guiding principles / recurring themes.Harder or more unusual problems reliably. They know enough to perform routine tasks without heroic effort, while theyĪre an expert if they are able to solve common problems at a glance and PersonaĪ professor who needs training for her research and to pass on to students.Ī proficient Excel user working in industry who wants to switch to R.Ī data science generalist at a small consulting company.Ī reluctant learner who would really rather just keep using the tools he knows.Īn ex-programmer who now leads a team and needs to make decisions about tool adoption and training.Īn undergraduate student without statistical knowledge, programming skills, and real-world experience.Ī sys admin who has to support data scientists.Ī novice is someone who doesn’t yet have a mental model of some field: asĪ result, they don’t know what they don’t know. Very welcome, and can be made through the GitHub repository. The personas below have been synthesized from onesĬreated by RStudio staff and certified instructors improvements and additions

#Rstudio github manual

Learner’s perception of their needs, and any special considerations.Īny workshop, tutorial, how-to guide, or reference manual should be designed forġ–3 specific personas. Persona has general background, relevant prior knowledge or experience, the To help and communicate that understanding to each other and to learners. Personalizing learners, personas help instructors figure out who they’re trying Anya Academic Celine Certified Exton Excel Jacqui Ofalltrades Katrin Keener Larry Legacy M'shelle Manager Nang Newbie Toshi Techsupport RStudio Learner PersonasĪ learner persona is a short description of a typical learner.