What's in a Library? – Moritz Büchi
Chapter 4 Descriptive statistics and data manipulation | Modern R with the tidyverse
Let's find correlations among European wine regions based on 653 years of data | by Kan Nishida | learn data science
Data frame Manipulation with dplyr – Introduction to R for Geospatial Data
Using R libraries to facilitate sensitivity analysis and to calibrate system dynamics models - Duggan - 2019 - System Dynamics Review - Wiley Online Library
Introduction to dplyr | SpringerLink
Transitioning into the tidyverse (part 1)
A Quick Tutorial on Merging Data with the *_join() Family of Functions in { dplyr} | Steven V. Miller
Transitioning into the tidyverse (part 1)
Installation fails on Windows 7 · Issue #216 · tidyverse/dplyr · GitHub
Grünenfelder Zumbach GmbH (@gfzb_info) / Twitter
Part 2 Data manipulation with R | Introduction to geospatial data with R
Explorative Datenanalyse zum Datensatz "OECD Wellbeing" - sesa blog
Exploratory Data Analysis in R | datacareer.ch
How to Analyze Data with R: A Complete Beginner Guide to dplyr | R-bloggers
Chapter 4 Descriptive statistics and data manipulation | Modern R with the tidyverse
How to Analyze Data with R: A Complete Beginner Guide to dplyr | R-bloggers
exploratory data analysis: basic pandas and dplyr | TwoSidesData
Analyzing the Swiss cantons with more lawyers than medical doctors • Martin Geissmann
Datensätze aufbereiten und aggregieren mit dplyr | SpringerLink
Tabellenanalyse
CRAN Recipes | SpringerLink
Blog: Data Manipulation and Exploration with Dplyr
Visualize & Explore Data - HU Research Environment
Section 13 Data handling with dplyr | Data handling, exploratory analysis, and reporting in R
Frontiers | A Critical Evaluation of the Relationship Between the Effective Cation Exchange Capacity and Soil Organic Carbon Content in Swiss Forest Soils | Forests and Global Change
Community Composition of Bacteria Isolated from Swiss Banknotes Varies Depending on Collection Environment | bioRxiv
