Lab 1: Intro to R

library(tidyverse)
library(openintro)

Exercise 1

veri setini inceleme glimpse fonksiyonu ile yapılabilir

Tablo

Col1	Col2	Col3

ornek resim

veri setindeki kızlar

arbuthnot$girls

##  [1] 4683 4457 4102 4590 4839 4820 4928 4605 4457 4952 4784 5332 5200 4910 4617
## [16] 3997 3919 3395 3536 3181 2746 2722 2840 2908 2959 3179 3349 3382 3289 3013
## [31] 2781 3247 4107 4803 4881 5681 4858 4319 5322 5560 5829 5719 6061 6120 5822
## [46] 5738 5717 5847 6203 6033 6041 6299 6533 6744 7158 7127 7246 7119 7214 7101
## [61] 7167 7302 7392 7316 7483 6647 6713 7229 7767 7626 7452 7061 7514 7656 7683
## [76] 5738 7779 7417 7687 7623 7380 7288

Exercise 2

Kızların değişim trendi aşağıdaki gibidir.

ggplot(data = arbuthnot, aes(x = year, y = girls)) +
  geom_line() +
  theme_bw() +
  labs(title = "Kizlarin Dagilimi",
       x="kiz sayisi",
       y="yillar")

toplam sayi

arbuthnot$boys + arbuthnot$girls

##  [1]  9901  9315  8524  9584  9997  9855 10034  9522  9160 10311 10150 10850
## [13] 10670 10370  9410  8104  7966  7163  7332  6544  5825  5612  6071  6128
## [25]  6155  6620  7004  7050  6685  6170  5990  6971  8855 10019 10292 11722
## [37]  9972  8997 10938 11633 12335 11997 12510 12563 11895 11851 11775 12399
## [49] 12626 12601 12288 12847 13355 13653 14735 14702 14730 14694 14951 14588
## [61] 14771 15211 15054 14918 15159 13632 13976 14861 15829 16052 15363 14639
## [73] 15616 15687 15448 11851 16145 15369 16066 15862 15220 14928

mutate fonksiyonu ile yeni degisken ekleme

arbuthnot <- arbuthnot %>%
  mutate(total = boys + girls)

Erkek kiz oranı ekleme

arbuthnot <- arbuthnot %>%
  mutate(boy_to_girl_ratio = boys / girls)

Exercise 3

Insert any text here.

library(ggplot2)
ggplot(arbuthnot, aes(x=year, y=boys)) +
  geom_line()

Erkeklerin kizlardan fazla olmasi

arbuthnot <- arbuthnot %>%
  mutate(more_boys = boys > girls)

arbuthnot <- arbuthnot %>%
  mutate(more_boys_numeric = as.numeric(boys > girls))

ozet verme/betimsel istatistik

arbuthnot %>%
  summarize(min = min(boys),
            max = max(boys)
            )

## # A tibble: 1 × 2
##     min   max
##   <int> <int>
## 1  2890  8426

Exercise 4

Insert any text here. # Insert code for Exercise 4 here

arbuthnot$yil

## Warning: Unknown or uninitialised column: `yil`.

## NULL

dim(arbuthnot)

## [1] 82  7

nrow(arbuthnot)

## [1] 82

ncol(arbuthnot)

## [1] 7

colnames(arbuthnot) <- c("yil","erkek","kiz","toplam","erkek/kiz","cok_erkek","cok_erkek_sayisal")

#sutun yeri degişir ?relocate

arbuthnot_v2<- arbuthnot %>% select(1:3,7,6,5)

Exercise 5

Insert any text here.

# Insert code for Exercise 5 here

Exercise 6

Insert any text here.

# Insert code for Exercise 6 here
library(ggplot2)
ggplot(data = arbuthnot, aes(x = yil, y = erkek/kiz)) + 
  geom_line() +
  xlim(c(1610,1720))

#limitlerin artış miktarını değiştiriniz

Exercise 7

Insert any text here.

# Inser
arbuthnot %>% arrange(-toplam)

## # A tibble: 82 × 7
##      yil erkek   kiz toplam `erkek/kiz` cok_erkek cok_erkek_sayisal
##    <int> <int> <int>  <int>       <dbl> <lgl>                 <dbl>
##  1  1705  8366  7779  16145        1.08 TRUE                      1
##  2  1707  8379  7687  16066        1.09 TRUE                      1
##  3  1698  8426  7626  16052        1.10 TRUE                      1
##  4  1708  8239  7623  15862        1.08 TRUE                      1
##  5  1697  8062  7767  15829        1.04 TRUE                      1
##  6  1702  8031  7656  15687        1.05 TRUE                      1
##  7  1701  8102  7514  15616        1.08 TRUE                      1
##  8  1703  7765  7683  15448        1.01 TRUE                      1
##  9  1706  7952  7417  15369        1.07 TRUE                      1
## 10  1699  7911  7452  15363        1.06 TRUE                      1
## # ℹ 72 more rows

#arbuthnot %>% arrange(desc(toplam))#