Reshaping
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What is Reshaping?
Reshaping changes the layout of a dataset without changing its underlying content, most commonly converting between wide and long formats. Wide format spreads related values across separate columns, while long format stacks them into fewer columns with an extra column identifying what each value represents. Many statistical functions and plotting tools expect one shape or the other, so reshaping is often a necessary step before analysis.
More in stage 11: Data Manipulation
Reshaping: common questions
Can I learn Reshaping in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Reshaping in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Reshaping tutorial for beginners?
It is lesson 73 of 129 in the free R Programming roadmap, in stage 11, Data Manipulation. If you are new to R Programming, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.