ข้ามไปยังเนื้อหาหลัก
หมวดหมู่
เทคโนโลยี

บทเรียนการเขียนโปรแกรม R

ในบทเรียน R ของเรา คุณจะพบเคล็ดลับที่เป็นประโยชน์และกรณีใช้งานเพื่อพัฒนาทักษะการเขียนโปรแกรม เราจะอัปเดตเทคนิคล่าสุดให้เสมอ
ฝึกอบรม 2 คนขึ้นไป?ลองใช้ DataCamp for Business
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

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

Understanding Blockchains by Coding One in R

Implement a small blockchain in R and learn more about what a blockchain looks like and some of the core concepts behind it!

Johannes Mueller

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