#memasukkan data
library(readxl)
library(tidyverse)
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ternak = read_xlsx("C:/Users/ENGGAR/Downloads/Jumlah Populasi Ternak Per Kecamatan Di Kabupaten Garut - Tahun 2023/Jumlah Populasi Ternak Per Kecamatan Di Kabupaten Garut - Tahun 2023.xlsx")
head(ternak)
## # A tibble: 6 × 16
## id kode_provinsi nama_provinsi kode_kabupaten nama_kabupaten kode_kecamatan
## <dbl> <dbl> <chr> <dbl> <chr> <dbl>
## 1 1 32 JAWA BARAT 3205 GARUT 3205130
## 2 2 32 JAWA BARAT 3205 GARUT 3205230
## 3 3 32 JAWA BARAT 3205 GARUT 3205150
## 4 4 32 JAWA BARAT 3205 GARUT 3205290
## 5 5 32 JAWA BARAT 3205 GARUT 3205030
## 6 6 32 JAWA BARAT 3205 GARUT 3205011
## # ℹ 10 more variables: kecamatan <chr>, sapi_potong <dbl>, sapi_perah <dbl>,
## # kerbau <dbl>, domba <dbl>, kambing <dbl>, ayam_ras_pedaging <dbl>,
## # ayam_ras_petelur <dbl>, ayam_buras <dbl>, itik <dbl>
#memilih data yang akan digunakan
ternak = ternak %>% rename(ayam = ayam_buras, sapi = sapi_potong) %>% select(sapi, kerbau, domba, kambing, ayam, itik) %>% gather(key = "ternak", value = "jumlah")
head(ternak)
## # A tibble: 6 × 2
## ternak jumlah
## <chr> <dbl>
## 1 sapi 79.4
## 2 sapi 120.
## 3 sapi 74.5
## 4 sapi 582.
## 5 sapi 1099.
## 6 sapi 685.
#anova
ternak_anova = aov(jumlah ~ ternak, data = ternak)
summary(ternak_anova)
## Df Sum Sq Mean Sq F value Pr(>F)
## ternak 5 5.283e+10 1.057e+10 438.3 <2e-16 ***
## Residuals 246 5.929e+09 2.410e+07
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#Pie Chart
ggplot(ternak, aes(x = "", y = jumlah, fill = ternak)) +
geom_bar(stat = "identity", width = 1) +
coord_polar("y", start = 0) +
labs(title = "Persentase Jenis Ternak") +
theme_void()

#Bar Chart
ggplot(ternak, aes(x = ternak, y = jumlah)) +
geom_bar(stat = "identity", fill = "skyblue") +
labs(title = "Boxplot of Jumlah Ternak", x = "Ternak", y = "Jumlah") +
theme_minimal()
