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.Rhistory
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library("foreign")
library("intsvy")
install.packages(intsvy)
install.packages("intsvy")
library("dplyr")
library("ggplot2")
install ("ggplot2")
install("ggplot2")
install.packages("ggplot2")
install.packages("ggplot2")
library("tidyr")
install.packages("tidyr")
install.packages("tidyr")
pisa_data_path <- "/Users/zelhapekkan/Downloads"
pisafile = paste(pisa_data_path, "/CY6_MS_CMB_STU_QQQ.sav", sep = "")
stud2015 <- read.spss("CY6_MS_CMB_STU_QQQ.sav", use.value.labels = TRUE, to.data.frame = TRUE)
pisafile
stud2015 <- read.spss("CY6_MS_CMB_STU_QQQ.sav", use.value.labels = TRUE, to.data.frame = TRUE)
stud2015 <- read.spss(pisafile, use.value.labels = TRUE, to.data.frame = TRUE)
newdata <- stud2015 %>% select(CNT, CNTSTUID, ST003D03T, ST004D01T, JOYSCIE)
library("dplyr")
install.packages("dplyr")
install.packages("dplyr")
newdata <- stud2015 %>% select(CNT, CNTSTUID, ST003D03T, ST004D01T, JOYSCIE)
newdata <- stud2015 % > % select(CNT, CNTSTUID, ST003D03T, ST004D01T, JOYSCIE)
install.packages(tidyverse)
install.packages(tidyverse"")
install.packages("tidyverse")
install.packages("tidyverse")
library("foreign")
library("intsvy")
library("dplyr")
library("ggplot2")
library("tidyr")
install.packages("intsvy",)
install.packages("intsvy", )
install.packages("intsvy")
install.packages("intsvy")
install.packages("dplyr")
install.packages("dplyr")
library("foreign")
library("intsvy")
library("dplyr")
library("ggplot2")
library("tidyr")
install.packages("dplyr", dependencies = TRUE)
install.packages("dplyr", dependencies = TRUE)
library("ggplot2")
install.packages("ggplot2", dependencies = TRUE)
library("ggplot2")
install.packages("ggplot2", dependencies = TRUE)
install.packages("ggplot2", dependencies = TRUE)
library("ggplot2")
library("dplyr")
library("ggplot2")
library("dplyr")
library("foreign")
library("intsvy")
library("dplyr")
library("ggplot2")
library("tidyr")
newdata <- stud2015 %>% select(CNT, CNTSTUID, ST003D03T, ST004D01T, JOYSCIE)
View(newdata)
install.packages("rmarkdown")
quarto preview
ggplot(netflix %>% select(release_year, user_rating_score) %>%
filter(complete.cases(.)),
aes(x = release_year, y = user_rating_score)) +
geom_point()+
labs (
title:"Movie Information",
x= "Year of the movie",
y= "User Rating"
)
library(ggplot2)
library(foreign)
suppressPackageStartupMessages()
ggplot