Publications by Camila
TRABAJO ANALISIS
Analfabetismo en el Perú Sidebar Indice Hipótesis 1 Hipótesis 2 Hipótesis 3 Hipótesis 4 Hipótesis 5 Hipótesis 6 Hipótesis 7 Annova [Analisis ] Column Información General En primer lugar, se considera a una persona como analfabeta cuando tiene 15 y más años de edad y no sabe leer ni escribir. Las preguntas para captar a la poblac...
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Evaluación del tercer encuentro del curso de RStudio
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...
1902 sym R (3458 sym/13 pcs) 4 img
Encuentro 3 - Taller Rstudio
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...
1118 sym R (33651 sym/43 pcs) 17 img
PENERAPAN DATA AKTUAL MODEL ARIMA
1 Penerapan Data Aktual Model ARIMA 1.1 Soal Pada tugas praktikum kali ini, akan dibahas latihan soal nomor 5.11 (Montgomery, hlm.415). Berikut soalnya 5.11 Table 8.2 contains data on pharmaceutical product sales. Fit an ARIMA model to this time series, excluding the last 10 observations. Investigate model adequacy. Explain how this model would...
3853 sym R (10130 sym/69 pcs) 8 img
KLASIFIKASI DAN PREDIKSI LEVEL RESIKO INVESTASI
library(naniar) library(VIM) ## Loading required package: colorspace ## Loading required package: grid ## VIM is ready to use. ## Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues ## ## Attaching package: 'VIM' ## The following object is masked from 'package:datasets': ## ## sleep library(missMDA) ...
1690 sym R (55015 sym/54 pcs) 1 img
KLASIFIKASI LEVEL RESIKO INVESTASI
library(naniar) library(VIM) ## Loading required package: colorspace ## Loading required package: grid ## VIM is ready to use. ## Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues ## ## Attaching package: 'VIM' ## The following object is masked from 'package:datasets': ## ## sleep library(missMDA) ...
2826 sym R (48797 sym/51 pcs) 2 img
PREGUNTA 1
library(rio) peru=import("dataPeru.xlsx") #HACER EL PORCENTAJE DE LAS FILAS QUE NOS PIDEN library(dplyr) ## ## Adjuntando el paquete: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union peru <- peru %>%...
87 sym R (2151 sym/13 pcs)
REGRESI LINEAR
investment <- c(50, 55, 60, 65, 70, 75, 80, 85, 90, 95) output <- c(200, 220, 230, 240, 260, 270, 280, 300, 310, 320) investment ## [1] 50 55 60 65 70 75 80 85 90 95 output ## [1] 200 220 230 240 260 270 280 300 310 320 data <- data.frame(investment, output) data ## investment output ## 1 50 200 ## 2 55 220 ## 3 ...
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REGRESI LINEAR BERGANDA
price <- c(100, 110, 120, 130, 140, 150, 160, 170, 180, 190) marketing_cost <- c(20, 25, 22, 30, 35, 40, 42, 45, 50, 55) stores <- c(50, 52, 55, 58, 60, 62, 65, 67, 70, 72) income <- c(5000, 5200, 5400, 5600, 5800, 6000, 6200, 6400, 6600, 6800) sales_volume <- c(200, 220, 210, 230, 240, 250, 260, 270, 280, 290) data <- data.frame(price, marketi...
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