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Скачать с ютуб Introduction to ggplot2 Package in R | Data Visualization Tutorial for Beginners & Advanced Examples в хорошем качестве

Introduction to ggplot2 Package in R | Data Visualization Tutorial for Beginners & Advanced Examples 1 год назад


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Introduction to ggplot2 Package in R | Data Visualization Tutorial for Beginners & Advanced Examples

How to draw graphics using the ggplot2 package in the R programming language. More details: https://statisticsglobe.com/ggplot2-r... Table of contents: 00:00 - Introduction 00:42 - Grammar of Graphics & ggplot2 Layers 02:02 - Basic Application of ggplot2 Package 13:24 - Advanced Data Visualization 33:04 - Outro R code of this video: data <- data.frame(x = 1:9, # Create simple example data y = c(3, 1, 4, 3, 5, 2, 1, 2, 3), group = rep(LETTERS[1:3], each = 3)) data # Print example data install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2 ggplot(data, # Draw basic ggplot2 scatterplot aes(x = x, y = y)) + geom_point() ggplot(data, # Increase point size aes(x = x, y = y)) + geom_point(size = 3) ggplot(data, # Set colors by groups aes(x = x, y = y, col = group)) + geom_point(size = 3) ggp_simple <- ggplot(data, # Store ggplot2 plot in data object aes(x = x, y = y, col = group)) + geom_point(size = 3) ggp_simple + # Change x-axis limits scale_x_continuous(limits = c(- 3, 15)) ggp_simple + # Change colors by groups scale_color_manual(breaks = c("A", "B", "C"), values = c("#1b98e0", "#353436", "#e32f08")) ggp_simple + # Add multiple scale layers scale_x_continuous(limits = c(- 3, 15)) + scale_color_manual(breaks = c("A", "B", "C"), values = c("#1b98e0", "#353436", "#e32f08")) ggp_simple + # Create subplots using facet_wrap() scale_x_continuous(limits = c(- 3, 15)) + scale_color_manual(breaks = c("A", "B", "C"), values = c("#1b98e0", "#353436", "#e32f08")) + facet_wrap(group ~ .) ggp_simple + # Change ggplot2 theme scale_x_continuous(limits = c(- 3, 15)) + scale_color_manual(breaks = c("A", "B", "C"), values = c("#1b98e0", "#353436", "#e32f08")) + facet_wrap(group ~ .) + theme_bw() ggp_simple + # Remove legend from plot scale_x_continuous(limits = c(- 3, 15)) + scale_color_manual(breaks = c("A", "B", "C"), values = c("#1b98e0", "#353436", "#e32f08")) + facet_wrap(group ~ .) + theme_bw() + theme(legend.position = "none") ggp_simple + # Remove axis information scale_x_continuous(limits = c(- 3, 15)) + scale_color_manual(breaks = c("A", "B", "C"), values = c("#1b98e0", "#353436", "#e32f08")) + facet_wrap(group ~ .) + theme_bw() + theme(legend.position = "none", axis.title.x = element_blank(), axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.title.y = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank()) Please find the code for the advanced examples on the website: https://statisticsglobe.com/ggplot2-r... Follow me on Social Media: Facebook – Statistics Globe Page:   / statisticsglobecom   Facebook – R Programming Group for Discussions & Questions:   / statisticsglobe   Facebook – Python Programming Group for Discussions & Questions:   / statisticsglobepython   LinkedIn – Statistics Globe Page:   / statisticsglobe   LinkedIn – R Programming Group for Discussions & Questions:   / 12555223   LinkedIn – Python Programming Group for Discussions & Questions:   / 12673534   Twitter:   / joachimschork   Music by Bensound.com License code: UPK3JXJBTLOEWP2T

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