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#----------------------------------TIME SERIES ANALYSIS---------------------------------#
#--------------------------------------------------------------------------------------#
# Read the Source data file
superstore_data <- read.csv("Global Superstore.csv", header = T, sep = ',')
##------------BUSINESS UNDERSTANDING----------------#
#loading necessary libraries
library(readr)
library(dplyr)
library(ggplot2)
library(caret)
library(kernlab)
library(gridExtra)
#############################Telecom Solution###################
################################################################
#Business Understanding
#Data Understanding
#Data Preparation & EDA
#Model Building
#Model Evaluation
################################################################
### Business Understanding:
library(dplyr)
library(ggplot2)
loandata <- read.csv(file="loan.csv", header=TRUE, sep=",",stringsAsFactors=FALSE)
#######----------------------------------------------------#######
#Reading the carprice data as provided
carprice <- read.csv("CarPrice_Assignment.csv")
#checking the structure of the data frame
str(carprice)
#######----------------------------------------------------#######
#######----------------------------------------------------#######
#Extracting company from CarName
#############################HR Analytics Solution###################
################################################################
#Business Understanding
#Data Understanding
#Data Preparation & EDA
#Model Building
#Model Evaluation
################################################################
### Business Understanding: