I am Sachin Kumar K M. working as an Associate Software engineer.
It was my first day at workplace after 4 months of joyful training in Business intelligence stream. I was assigned to Proof of concept work along with my other three training mates. I introduced myself to my new colleagues who seemed very serious about their work. We were informed that we would be working on R tool.
R studio is an IDE for R. It is a powerful and productive user interface for R. I installed latest version of Rstudio (which is an open source) from this https://cran.r-project.org/bin/windows/base/ CRAN r project website into the system allocated to me. It was all Greek to me when I started experimenting with R.I went through various videos in YouTube to get familiar with available options of the tool.
I tried tryR http://tryr.codeschool.com/ website to know how Rstudio works. Which is an interactive tutorial through which I realized R is a language and an environment for statistical computing and graphics.
What amazed me is the number of packages it is backed with. R has more than 5000 packages each one of them is meant to serve different purposes (work).I spent my initial days at work with my headphones on. As I had believed YouTube is one of the best sources to start learning. Mean while I developed my curiosity towards wordclouds.
Wordcloud is an eye catching way of representing and analyzing a text document. I am an avid reader of newspapers .I had been witnessing political parties, Business enterprises making use of such word clouds to advertise in newspapers. I found an article which had a code to get word cloud in R.
A sample word cloud
Yes, It worked .As soon as I executed the code there was a beautiful and ordered word cloud on my screen. I was flying in colors. That reminded me of my school days math classes. Where solving a complex problem correctly used to give me an immense satisfaction.
As days passed I learnt there are number of online communities, forums and blogs which are supporting R users in their journey. I signed up in all active communities like R-blogger, stack overflow, R mailing list, Revolution Analytics, statistics blog and many more.
They helped in enhancing my Data science knowledge. I started reading latest posts regularly. There were many questions related to career in Data science stacked on my mind for which, I found answers by referring to blogs. My first week at work was full of curiosity, Learning and experimenting with Rstudio.