R is presented as a powerful and specialized tool for data analysis that can help reveal insights you might otherwise miss.
A practical project is introduced to analyze 20 years of blog posts to demonstrate the capabilities of the R language.
The `tibble` data structure is the fundamental building block within the tidyverse, an opinionated set of packages for data science.
The pipe operator from the magrittr package allows for chaining commands to create readable and sequential data processing workflows.
The dplyr package provides a consistent set of verbs like `select` and `mutate` to solve common data manipulation challenges.
The ggplot2 package implements the grammar of graphics to build complex plots layer by layer, mapping data variables to aesthetic properties.
Term frequency-inverse document frequency (TF-IDF) is a technique used to find words that are uniquely important to a specific document within a collection.
The speaker shares recommended books, authors, and social media accounts to follow for continuing your R learning journey.
Audience questions comparing R to Python and discussing the language's one-based array indexing are answered.
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Ismaning, Germany
21:17Carl Lapierre
26:28Nils Kasseckert
57:46Adrian Schmitt
29:11Michael Hunger
30:24Markus Walker
27:26Cassie Kozyrkov
27:27Michele Riva
50:43Rainer Stropek
Jobs that call for the skills explored in this talk.
Barcelona Supercomputing Center
Barcelona, Spain
Associates, Inc
Philadelphia, United States of America
RSI LONDON Group
Charing Cross, United Kingdom
Hugging Face
Paris, France
