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R ํ”„๋กœ๊ทธ๋ž˜๋ฐ ํŠœํ† ๋ฆฌ์–ผ

์ €ํฌ R ํŠœํ† ๋ฆฌ์–ผ์—์„œ๋Š” ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์—ญ๋Ÿ‰์„ ํ‚ค์šฐ๋Š” ๋ฐ ๋„์›€์ด ๋˜๋Š” ํŒ๊ณผ ํ™œ์šฉ ์‚ฌ๋ก€๋ฅผ ํ™•์ธํ•˜์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ตœ์‹  ๊ธฐ๋ฒ•๋„ ๊พธ์ค€ํžˆ ์†Œ๊ฐœํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

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2๋ช… ์ด์ƒ์„ ๊ต์œกํ•˜์‹œ๋‚˜์š”?DataCamp for Business ์‚ฌ์šฉํ•ด ๋ณด๊ธฐ
R

Network Analysis in R: Centrality Measures

Explore the definition of centrality, learn what different types of centrality measures exist in network analysis and pick the best one for a given network!

Minoo Ashtiani

R

Logistic Regression in R Tutorial

Discover all about logistic regression: how it differs from linear regression, how to fit and evaluate these models it in R with the glm() function and more!

Vidhi Chugh

R

Getting Started with the Tidyverse: Tutorial

Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!

Hugo Bowne-Anderson

R

Tidy Sentiment Analysis in R

Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!

Debbie Liske

R

Feature Selection in R with the Boruta R Package

Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!

DataCamp Team

R

Web Scraping in R: rvest Tutorial

Explore web scraping in R with rvest with a real-life project: extract, preprocess and analyze Trustpilot reviews with tidyverse and tidyquant, and much more!

Arvid Kingl

R

Five Tips to Improve your R Code

Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more!

Simon Jackson