Publications by Vanessa Supit
R programming
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(2,3,4,5,6,3,2,3,4,5,9,80) average(x) ## [1] 10.5 middle_value x<- c(2,3,4,5,6,3,2,3,...
1072 sym R (18408 sym/66 pcs) 1 img
R programming
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(2,3,4,5,6,3,2,3,4,5,9,80) average(x) ## [1] 10.5 middle_value x<- c(2,3,4,5,6,3,2,3,...
1072 sym R (18414 sym/66 pcs) 1 img
Rbasics
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...
2680 sym R (1915159 sym/48 pcs) 1 img
Rbasics
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(14:30) A ## [1] 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 ...
12946 sym R (9261 sym/54 pcs) 1 img
Rbasics
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...
2672 sym R (22398 sym/34 pcs) 1 img
R programming
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(2,3,4,5,6,3,2,3,4,5,9,80) average(x) ## [1] 10.5 middle_value x<- c(2,3,4,5,6,3,2,3,...
1072 sym R (18393 sym/66 pcs) 1 img
Lab 9 R Data Interfaces Vanessa Supit 20194920014
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 ...
4383 sym R (7925 sym/28 pcs) 2 img
Data Visualization
Email: vanessasupit0910@gmail.com RPubs: https://rpubs.com/datazerotohero/ Github: https://github.com/datazerotohero/ Data visualization adalah teknik mendapatkan informasi dari data ke konteks visual, seperti bagan, grafik, dan peta. Data Visualisasi memungkinkan untuk mengatasi data yang kecil bahkan data besar menjadi lebih mudah untuk otak...
24863 sym R (28802 sym/53 pcs) 49 img
Data Exploratory
Email: vanessasupit0910@gmail.com Linkedin: https://www.linkedin.com/in/your-account/ RPubs: https://rpubs.com/Vanessasupit/ 1 Introduction The aim of this report is to apply Exploratory Data Analysis (EDA) to the house sales in King County, Washington State, USA. The data set consisted of historic data of houses sold between May 2014 to May 2...
1675 sym R (20167 sym/40 pcs) 2 img
Data preparation
salah satu skill paling mendasar untuk Data Scientist adalah Pengolahan Data(Manipulasi Data). Agar bisa bekerja dengan efektif, kamu perlu sekali menguasai manipulasi data-data. ini dikarenakan sebagian besar dari pekerjaanmu akan melibatkan Mendapat dan Membersihkan Data Data Scientists menghabiskan 60% waktunya dalam membersihkan dan mengatur...
12216 sym R (24975 sym/75 pcs) 2 img