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The main of this research to find the business solution to the client problem on the basis of the data extracted from different website. Along with that this research is also aimed to identify the appropriate variables which can be used topredict the project. The entire research has been categorised in two parts. The first part has been used to explain the procedure of data extraction and the second part will focus on identifying the appropriate variable for prediction
Importing url into R
Data for this research has been extracted from the websites given by the clients using R software. In the first step the file containing all the url was imported in R using the following code:
Checking the dimension of the data set shows that there are total 105845 different url from where the data has to be extracted.
Since the data has to be imported from the website the “rvest package was installed in R. Following command was used to install the required package:
Using selector gadget
Apart from R coding the selector gadget (which is one of the extension available in Google chrome) was used. The selector gadget allows to show the css of the variables which has been used in R to extract the data.
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