vida amorosa

Its 2020 and It has been more than 7 months that I have settled down in a beautiful place Prague.  I personally think Prague is more romantic than Paris. If you have a girlfriend, take her there –  Stephanie Sigman Its been a while all of us around the world have stepped out from our homes amidst the coronavirus pandemic and its true the nature has a way to settle down the balance of nature. I had a chance to go out and explore the parks as the parks are now open for walking and recreation activities with practicing safe distance.  It is also a very good technique to handle the stress and have an ability to make you smile . I personally believe our eyes are like camera and the image when we are looking at is processed in memory and whenever we want to remember we can visualize the imagery.   During my casual walks me and my husband  had explored so many new routes even new parks which I had not even thought.  Below are the...

http://www.datasciencecentral.com/profiles/blogs/the-free-big-data-sources-everyone-should-know

Hi Folks!! Welcome to the 3rd part of the series where we would be extracting the reviewers name , date , rating and review for the product galaxy s4 The given below is the code to extract for the .com and .in and combining them into the new datafile Code: --library(RCurl) --library(XML) --library(rvest) --init <- "http://www.amazon.in/Samsung-Galaxy-S4-GT-I9500-White/product  reviews/B00CL4HXQC" --crawlCandicate = "ref=cm_cr_pr_btm_link_" --base <- "http://www.amazon.in" --num <- 3 --doclist <- list() --anchorlist <- vector() --j <- 0 --while(j<num){ -- if(j==0){ --doclist[j+1] <- getURL(init) -- } else{ --doclist[j+1] <- getURL(paste(base,anchorlist[j+1],sep = "")) -- }  --  doc <- htmlParse(doclist[[j+1]])   --anchor <- getNodeSet(doc,"//a") # capture all the 'a' tags which contains all the    --anchor <- sapply(anchor,function(x) xmlGetAttr(x,"href"))  ...

The main aim of this blog is to understand how to extract movie reviews of martian from IMDB website.  IMDB website is very famous for rating of the movies Again the pattern followed here -- which means start of the code 1) - -library(rvest) --library(RCurl) --library(XML) --library(dplyr) The main aim of  the above mentioned code is to load the above libraries . RCurl and XML rvest -  Wrappers around the 'xml2' and 'httr' packages to make it easy to download, then manipulate, HTML and XML.(Ref:https://cran.r-project.org/web/packages/rvest/rvest.pdf) Dplyr package:A fast, consistent tool for working with data frame like objects, both in memory and out of memory.(Ref:https://cran.r-project.org/web/packages/dplyr/dplyr.pdf) 2) --init <- "http://www.imdb.com/title/tt3659388/reviews?filter=best" --crawlCandicate <- "reviews\\?filter=best" --base = "www.imdb.com/title/tt3659388/" --num = 10 --doclist = list() --anchorl...

Hi Folks!! This is my first blog in the series where I would love to share my experimentation with text analytics using R.. The initial 3 parts we would concentrate our efforts towards scrapping or extraction of reviews of samsung s4 product from the flipkart. We would be understanding the code bit by bit to get a hang of it and make it simpler to follow for a novice who is just enticed and want to start afresh here. When I am starting with -- this means R code  1) R is an open source platform and in case you want to have added functionalities you load the library --library(RCurl) --library(XML) RCurl:    Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server.  ( Ref:  https://cran.r-project.org/web/packages/RCurl/index.html) XML:This collection of functions allow us to add, remove and replace children from an X...

Vizualyse PK

Hi Folks!! The world is getting more interesting with the ways we are experimenting with the data visualization. The journey started with the tableau followed by qlikview and now in google charts. The purpose of this blog is to make the candlestick chart on the stock prices of Tata Steel downloaded from Quandl website. Quandl is an interesting source of the data where we can download the stock prices of various companies listed under NSE. The other databases are premium and can be accessed only after we pay certain amount of money. It is a same old story. Lets get to the point. The reference of java script code is "http://visual.yantrajaal.com/2013/12/plotting-nse-stock-price-data-from.html". Google Chart Example