Report-Ready Tables in R: A Hands-On Interactive Course
A correct data frame and a table you can hand to a client are two different things. This interactive course teaches you to turn raw R output into presentation-ready tables: titled, labelled, with currency, percentages and clean number formatting, using gt, flextable, kableExtra and gtsummary.
The numbers in your analysis are only as useful as the table that carries them. A monospaced printout with 0.62 where you mean 62% and column names like margin reads like a debugging session, not a report. This course closes that gap. You will build report tables from data frames step by step, format every kind of number a reader expects, and pick the right tool for where the table will finally live: a web page, a Word document, or a knitted report.
Each lesson is a guided, interactive experience: you run live R in the browser, answer checkpoints as you go, and see each idea on real data before you write it yourself.
The two lessons
Lesson 1: From data frame to report table
Turn a raw data frame into a presentation-ready table with gt: a title, human column labels, and a source note. Format the numbers that matter, currency, percentages and thousands separators, shape the data first so the table tells a story, and learn when to reach for flextable (Word and PowerPoint) or kableExtra (HTML reports) instead.
Start Lesson 1: From data frame to report table
Lesson 2: Summary tables and number formatting
Build one-line summary tables and regression tables with gtsummary, and master the formatting details that make a table read cleanly: numbers, percentages and units, rounding that is consistent across a column, and alignment that lets a reader scan down a figure.
Lesson 2 is coming soon.
Who this is for
You can already load a package with library() and wrangle a data frame with dplyr (filter, mutate, arrange). You do not need any prior experience with gt or table packages. By the end you will turn any analysis into a table a reader can act on, and know which package fits the document you are building.
What you will be able to do
- Build a report-ready table from a data frame with gt: title, human labels, and a source note
- Format currency, percentages and thousands separators so numbers read the way a reader expects
- Shape the data first, sorting and adding share columns, so the table tells a story
- Choose between gt, flextable and kableExtra for web, Word and knitted reports
- Build summary and regression tables with gtsummary
Ready? Begin with Lesson 1.