Publications by Kefas Ronaldo Immanuel Labiro
Assignment 5_new
1 Your Exercise In this section, you are expected to be more confident to create your own function. Here I advise you to create a function for each tasks bellow: Univariate variable (one dimension) average average <- function(x) { sum(x)/length(x) } x <- c(1,2,3) average(x) ## [1] 2 middle_value middle_value_ganjil <-function(x) { (le...
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Assignment 5
1 Your Exercise In this section, you are expected to be more confident to create your own function. Here I advise you to create a function for each tasks bellow: Univariate variable (one dimension) average average <- function(x) { sum(x)/length(x) } x <- c(1,2,3) average(x) ## [1] 2 middle_value middle_value_ganjil <-function(x) { (le...
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Assignment 4
1 Generate Data frame Suppose you are a data scientist, and you get a project at a start-up company, for instance Kopi Kenangan. Let’s say, you are asking to generate the collection of any possible data set from their daily sales. If I asking you: what kind of data set that you can generate?. Here, I assume you want to provide them the followin...
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Assignment 3
A. Creating Vectors In this section, you are expected to be able to shape data in vectors, perform basic mathematical operations, and also manipulate vectors. Exercise 1 Create a vector A containing numeric values, starting from the last 2 digits of your student id up to 30. A<- c(04:30) A ## [1] 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 ...
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Kefas_Assignment 9
1 Introduction In R, we can read data from files stored outside the R environment. We can also write data into files that will be stored and accessed by the operating system. R can read and write into various file formats like csv, excel, txt,rds, xml, json, etc. 2 Working Directory Before we start working with data (interface data), first make ...
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week 9 test
1 1. Introduction In R, we can read data from files stored outside the R environment. We can also write data into files that will be stored and accessed by the operating system. R can read and write into various file formats like csv, excel, txt,rds, xml, json, etc. 2 2. Working Directory Before we start working with data (interface data), first...
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Ujian Akhir Semester 3
Email: ronaldokefas@gmail.com RPubs: https://rpubs.com/kefasronaldo 1 Latar Belakang Andikan Anda adalah seorang Manajer dibidang projek Data Scince, ingin melakukan analisis perilaku pelanggan menggunakan data transaksi perusahaan ritel online di Inggris (yang memperoleh dataset dalam kurung waktu antara 01/12/2010 dan 09/12/2011). Diketahui d...
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Kefas_Lab 10 ~ Data Preparation with R
Salah satu keterampilan paling mendasar untuk Seorang Ilmuwan Data adalah Persiapan Data (Manipulasi Data). Agar benar-benar efektif, Anda harus ahli dalam melakukan manipulasi data penting. Ini karena proporsi pekerjaan Anda yang sangat besar hanya akan melibatkan mendapatkan dan membersihkan data. Ilmuwan data menghabiskan 60% dari waktu mere...
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MIDTERM_Kefas
Case 1 Assume you have collected some data set from ABC Property as we can see in the following table: Id <- (1:10000) Marketing_Name <- rep(c("Angel","Sherly","Vanessa","Irene","Julian", "Jeffry","Nikita","Kefas","Siana","Lala", "Fallen","Ardifo","Kevin","Juen","Jerrel", ...
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Lab13-Visualization
Email: ronaldokefas@gmail.com RPubs: https://rpubs.com/kefasronaldo/ Visualisasi Data adalah teknik mengambil informasi dari data ke dalam konteks visual, seperti bagan, grafik, dan peta. Visualisasi data dimungkinkan untuk menangani data kecil maupun besar menjadi lebih mudah dipahami oleh otak manusia, dan visualisasi juga membuatnya lebih d...
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