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Stats2_week8_9
Dashboard Assignment - TRI Page View Analysis
Analyzing if Users Visit More Pages Before Converting
Document
synthetic predator: bitcoin scams
Plot # install.packages("ggplot2") library(ggplot2)
# install.packages("ggplot2") library(ggplot2) # Datos set.seed(1) df <- data.frame(x = rnorm(200), y = rnorm(200)) ggplot(df, aes(x = x, y = y)) + geom_density_2d_filled() + guides(fill = guide_legend(title = "Nivel"))
Plot # install.packages("ggplot2") library(ggplot2)
# install.packages("ggplot2") library(ggplot2) # Datos set.seed(1) df <- data.frame(x = rnorm(200), y = rnorm(200)) ggplot(df, aes(x = x, y = y)) + geom_point() + geom_density_2d_filled(alpha = 0.4) + geom_density_2d(colour = "black")
Plot # install.packages("ggplot2") library(ggplot2)
# install.packages("ggplot2") library(ggplot2) # Datos set.seed(1) df <- data.frame(x = rnorm(200), y = rnorm(200)) ggplot(df, aes(x = x, y = y)) + geom_density_2d_filled() + geom_density_2d(colour = "black")
Code Along 10
Plot # install.packages("ggplot2") library(ggplot2)
# install.packages("ggplot2") library(ggplot2) # Datos set.seed(1) df <- data.frame(x = rnorm(200), y = rnorm(200)) ggplot(df, aes(x = x, y = y)) + geom_density_2d_filled(alpha = 0.75)
Plot # install.packages("ggplot2") library(ggplot2)
# install.packages("ggplot2") library(ggplot2) # Datos set.seed(1) df <- data.frame(x = rnorm(200), y = rnorm(200)) ggplot(df, aes(x = x, y = y)) + geom_density_2d_filled() + scale_fill_brewer()
Plot # install.packages("ggplot2") library(ggplot2) # Datos set.seed(1) df <- data.frame(x = rnorm(200), y = rnorm(200)) ggplot(df, aes(x = x, y = y)) + geom_density_2d_filled()
# install.packages("ggplot2") library(ggplot2) # Datos set.seed(1) df <- data.frame(x = rnorm(200), y = rnorm(200)) ggplot(df, aes(x = x, y = y)) + geom_density_2d_filled()
pruebadenormalidad