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Title | Statistical Inference via Data |
Description | An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science |
Keywords | N/A |
WebSite | moderndive.com |
Host IP | 52.203.36.44 |
Location | United States |
Site | Rank |
US$9,168,900
Last updated: 2022-06-27 20:38:34
moderndive.com has Semrush global rank of 1,154,370. moderndive.com has an estimated worth of US$ 9,168,900, based on its estimated Ads revenue. moderndive.com receives approximately 1,057,950 unique visitors each day. Its web server is located in United States, with IP address 52.203.36.44. According to SiteAdvisor, moderndive.com is safe to visit. |
Purchase/Sale Value | US$9,168,900 |
Daily Ads Revenue | US$8,464 |
Monthly Ads Revenue | US$253,908 |
Yearly Ads Revenue | US$3,046,896 |
Daily Unique Visitors | 70,530 |
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Host | Type | TTL | Data |
moderndive.com. | A | 299 | IP: 52.203.36.44 |
moderndive.com. | A | 299 | IP: 161.35.60.200 |
moderndive.com. | NS | 3600 | NS Record: dns3.p04.nsone.net. |
moderndive.com. | NS | 3600 | NS Record: dns4.p04.nsone.net. |
moderndive.com. | NS | 3600 | NS Record: dns1.p04.nsone.net. |
moderndive.com. | NS | 3600 | NS Record: dns2.p04.nsone.net. |
Welcome to ModernDive Foreword Preface Introduction for students What we hope you will learn from this book Data/science pipeline Reproducible research Final note for students Introduction for instructors Resources Why did we write this book? Who is this book for? Connect and contribute Acknowledgements About this book About the authors 1 Getting Started with Data in R 1.1 What are R and RStudio? 1.1.1 Installing R and RStudio 1.1.2 Using R via RStudio 1.2 How do I code in R? 1.2.1 Basic programming concepts and terminology 1.2.2 Errors, warnings, and messages 1.2.3 Tips on learning to code 1.3 What are R packages? 1.3.1 Package installation 1.3.2 Package loading 1.3.3 Package use 1.4 Explore your first datasets 1.4.1 nycflights13 package 1.4.2 flights data frame 1.4.3 Exploring data frames 1.4.4 Identification and measurement variables 1.4.5 Help files 1.5 Conclusion 1.5.1 Additional resources 1.5.2 What’s to come? I Data Science with tidyverse 2 Data Visualization Needed packages |
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