Analyze & Visualize Country Data in R | tidyverse, dplyr & ggplot2 | Group, Summarize & Draw Bars

How to analyze and visualize a data set containing country information in the R programming language. More details: statisticsglobe.com/analyze-v...
The video analyzes group participants of the "Data Manipulation in R Using dplyr & the tidyverse" online course. More details here: statisticsglobe.com/online-co...
R code of this video:
x ＜- c("United Kingdom", # Create vector of countries "United Kingdom", "Australia", "United States", "United States", "United Kingdom", "Netherlands", "Austria", "United States", "United States", "Ireland", "United States", "United States", "United States", "Japan", "United States", "United States", "Bangladesh", "Congo", "Spain", "Spain", "Netherlands", "United States", "United States", "United States", "Chile", "United States", "Canada", "United States", "Spain", "United Kingdom", "Ireland", "United Kingdom", "Mexico", "Namibia", "United States", "India", "United States", "Romania", "Mexico", "Canada", "Tanzania", "Netherlands", "Portugal", "Germany", "United Kingdom", "United States", "United States", "Australia", "Sweden", "Japan", "Canada", "United States", "Italy", "France", "Germany", "Germany", "Sweden", "Mexico", "New Zealand", "Mexico", "South Korea", "United States", "United States", "United States", "South Africa", "United States", "United States", "Australia", "United States", "United States", "United States", "Iceland", "United States", "United States", "United Kingdom", "United Kingdom", "Ireland", "Germany", "United States", "United States", "Singapore", "United Kingdom", "United States", "Mexico", "United Kingdom", "Norway", "Brazil", "United States", "United States", "Canada", "Netherlands", "Canada", "Sweden", "United States", "United States", "United Kingdom", "Germany", "United States", "United States", "United States", "United States", "Trinidad and Tobago")install.packages("tidyverse") # Install tidyverse packagelibrary("tidyverse") # Load tidyversemy_tib_grouped ＜- tibble(country = x) %＞% # Convert vector to tibble group_by(country) %＞% # Group tibble summarize(country_count = n()) %＞% # Calculate country count arrange(desc(country_count)) # Arrange tibble descendinglymy_tib_grouped # Print country datamy_ggp ＜- my_tib_grouped %＞% # 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 ggtitle("dplyr Course Participants by Country") + # Change main title annotate("text", # Add text element to plot x = 15, y = 25, label = "Thank You !!", size = 15, color = "red")my_ggp # Draw ggplot2 plot
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[@aishiaratrika]

Hi Joachim! I have been following your videos from the beginning and it's interesting how your channel has grown over time. I would like to request for in-depth videos on manipulating and analyzing publicly available secondary datasets such as DHS or MICS surveys, which would help a lot of researchers from developing nations.

[@StatisticsGlobe]

Hey, thank you so much for your constant support over the years, it's great that you are still following my channel! :) Also, thank you so much for your topic suggestion, I'll keep it in mind for the future content planning. Best regards, Joachim

[@saimajahan1000]

I have seen only participants from Bangladesh. That's me.😂. Once again great video. Interesting and informative.

[@StatisticsGlobe]

Haha, great Saima. I hope you enjoy the course so far! :)

[@joaomatos2043]

is a vector a kind of array in javascript?

[@cansustatisticsglobe]

Hello! Yes, a vector in R can be conceptually similar to an array in JavaScript, although they belong to different programming environments and have some differences in behavior and properties. For instance, in R, a vector is a basic data structure that holds elements of the same type (numeric, character, logical, etc.). It's a one-dimensional array. In JavaScript, an array is a global object used to store a collection of elements. These elements can be of different types (numbers, strings, objects, etc.).See www.w3schools.com/r/r_vectors.asp for further details. Best, Cansu