Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2
InstructorKirill EremenkoEditorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
The RStudio environment displays the source code used to generate a complex facet_grid visualization analyzing movie audience ratings across different genres and years.
The RStudio IDE displays a script assigning variables and performing division, with the resulting values visible in both the Environment pane and the Console output.
The RStudio interface displays the ggplot2 code used to generate boxplots with jittered points for movie genres, alongside the resulting chart and a save dialog.
The curriculum utilizes specific project briefs, such as basketball trends and demographic analysis, to apply programming concepts to real-world data scenarios.
Instruction moves from fundamental programming logic, like loops and variable types, into more complex statistical visualization using GGPlot2.
Multiple signals suggest that the required datasets for exercises may be unavailable or linked to broken URLs, hindering practical application.
Instructional steps regarding RStudio interface settings and package installation may not align with current software versions.
The content aligns well with the target of beginners and those preparing for econometrics.
