SL.TLF.0714.FE.ZS(çalışan çocuklar,kız) SL.TLF.0714.MA.ZS(çalışan çocuklar,erkek)
##dünya bankasından veri indirmek
library(WDI)
data <- WDI(indicator = c("SL.TLF.0714.FE.ZS", "SL.TLF.0714.MA.ZS"))
##kesit veri
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1
## ✔ lubridate 1.9.3 ✔ tidyr 1.3.1
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
data2003 <- data %>% filter(year == 2003)
##zaman serisi
dataTR <- data %>% filter(country == "Turkey")
names(dataTR)
## [1] "country" "iso2c" "iso3c"
## [4] "year" "SL.TLF.0714.FE.ZS" "SL.TLF.0714.MA.ZS"
library(ggplot2)
ggplot(dataTR, aes(SL.TLF.0714.MA.ZS)) + geom_line()
ggplot(dataTR, aes(SL.TLF.0714.MA.ZS, SL.TLF.0714.FE.ZS )) + geom_point()
ggplot(dataTR , aes(SL.TLF.0714.MA.ZS)) + geom_histogram()
##regresyon
model <- lm(SL.TLF.0714.FE.ZS ~ SL.TLF.0714.MA.ZS, data = data)
summary(model)
##
## Call:
## lm(formula = SL.TLF.0714.FE.ZS ~ SL.TLF.0714.MA.ZS, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -20.3292 -1.6946 0.7608 2.5600 22.2164
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -2.86668 0.46557 -6.157 2.57e-09 ***
## SL.TLF.0714.MA.ZS 0.97199 0.01649 58.939 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.653 on 279 degrees of freedom
## (16743 observations deleted due to missingness)
## Multiple R-squared: 0.9257, Adjusted R-squared: 0.9254
## F-statistic: 3474 on 1 and 279 DF, p-value: < 2.2e-16