Read, Row-Bind, Summarize & Visualize Multiple Data Sets in R | tidyverse, readr, dplyr & ggplot2 скачать в хорошем качестве

Read, Row-Bind, Summarize & Visualize Multiple Data Sets in R | tidyverse, readr, dplyr & ggplot2

How to import, combine, summarize, and visualize two data sets in the R programming language. More details: https://statisticsglobe.com/read-row-... The video analyzes group participants of the "Data Manipulation in R Using dplyr & the tidyverse" online course. More details here: https://statisticsglobe.com/online-co... R code of this video: install.packages("tidyverse") # Install & load tidyverse package library("tidyverse") my_path ＜- "C:/Users/Joach/Desktop/my project/" # Specify working directory data1 ＜- read_csv(str_c(my_path, "data1.csv")) # Import first data set data1 # Print first data set data2 ＜- read_csv(str_c(my_path, "data2.csv")) # Import second data set data2 # Print second data set data1_upd ＜- data1 %＞% # Filter rows filter(! ID %in% c("ID5", "ID13", "ID55")) data1_upd data_all ＜- data1_upd %＞% # Row-bind multiple data sets bind_rows(data2) head(data_all) # Head of combined data tail(data_all) # Tail of combined data nrow(data_all) # Total number of participants data_summ ＜- data_all %＞% # Convert vector to tibble group_by(country) %＞% # Group tibble summarize(country_count = n()) %＞% # Calculate country count arrange(desc(country_count)) # Arrange tibble descendingly data_summ # Print country data data_summ %＞% # Create ggplot2 plot ggplot(aes(x = reorder(country, - country_count), y = country_count)) + geom_col() + # Specify to draw a barplot theme(axis.text.x = element_text(angle = 90, # Vertical x-axis labels hjust = 1, vjust = 0.3)) + xlab("Country") + # Change x-axis label ylab("Count") + # Change y-axis label annotate("text", # Add text element to plot x = 15, y = 25, label = "Course Participants
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