What is Define Business Problem step in Data Analytics process step

Define Business Problem step in Data Analytics process step

The process of analytics begins with defining business problem. During this step, questions are asked from business stakeholders and business problems of stakeholders are understood and documented.
To solve business problems, we analyze data and find answers. 

What is Data Acquisition step in Data Analytics process step

Data Acquisition step in Data Analytics process step

Data Acquisition step is used to collect data from various sources for analysis to answer the question raised in Business Definition Step.

Data Acquisition step involves

  • File Handling
  • Web Scraping
  • SQL Data 

Some examples of Data Acquisition steps are :

  • Twitter, Facebook, LinkedIn, and other social media and information sites provide streaming APIs. 
  • Server logs can be extracted from enterprise system servers to analyze and optimize application performance. 

List in R

List in R

List is data structure in R with elements which can be of different types.

1. Creating List – with different types elements

diffTypeList <- list(1, “Introduction to R”, TRUE)

2. You can access single element double square brackets[[]]  

Example :
print(diffTypeList[[1]])            // Output [1] 1

3. You can modify by accessing element using double square brackets[[]]  

Example:
diffTypeList[[1]] <- 100

Vector in R

Vector is a data structure in R which is of fixed type and fixed length.

It contains elements of the same type at each index. The data types can be

  • Logical
  • Integer
  • Numeric
  • Character
  • Complex


Vectors of different types


realNumericVector <- c(1, 2, 3, 4) # numeric


decimalNumericVector <- c(0.1, 0.2, 0.3, 0.4) # numeric


logiacalVector <- c(TRUE, FALSE) # logical


characterVector <- c(“a”, “b”, “c”) # character


integerVector <- 1:9 # integer


myComplexVector <- c(1+1i, 2+2i) # complex