Mihailo Joksimovic
May I interest you in ... R?
#1about 7 minutes
Why you should consider learning the R language
R is presented as a powerful and specialized tool for data analysis that can help reveal insights you might otherwise miss.
#2about 2 minutes
Analyzing Joel Spolsky's blog using R
A practical project is introduced to analyze 20 years of blog posts to demonstrate the capabilities of the R language.
#3about 3 minutes
Understanding tibbles and the tidyverse ecosystem
The `tibble` data structure is the fundamental building block within the tidyverse, an opinionated set of packages for data science.
#4about 1 minute
Using the pipe operator for cleaner code
The pipe operator from the magrittr package allows for chaining commands to create readable and sequential data processing workflows.
#5about 4 minutes
Manipulating data frames with the dplyr package
The dplyr package provides a consistent set of verbs like `select` and `mutate` to solve common data manipulation challenges.
#6about 3 minutes
Creating powerful data visualizations with ggplot2
The ggplot2 package implements the grammar of graphics to build complex plots layer by layer, mapping data variables to aesthetic properties.
#7about 5 minutes
Finding important words using TF-IDF analysis
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.
#8about 1 minute
Recommended resources for learning R and tidyverse
The speaker shares recommended books, authors, and social media accounts to follow for continuing your R learning journey.
#9about 2 minutes
Q&A on R vs python and array indexing
Audience questions comparing R to Python and discussing the language's one-based array indexing are answered.
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