What is behind statistics, analytics and visualizations that today's brightest data scientists and business leaders rely on,to make powerful decisions.
The answer would be R
It so happened that before exploring the field of data science the letter R was just an element of the set of consonants ..but at present unlike the older times it stands for the revolution in the world of data science
The Statistical programming language that data experts from all over the world use for everything, staring from mapping broad social and marketing trends on mind to developing financial and climate models that drive our economies and communities.
But what exactly is R ? and where did R start from ?
It started from New Zealand where two professors Robert Gentleman and Ross Ihaka who wanted a better statistical platform for their students, so they created one modeled after the statistical language S and named it as R , or the Open Source R. They along with many others kept working on and using R creating new tools for the same and finding new applications everyday.
Thanks to the world wide community effort, R kept growing with thousands of user created libraries built to enhance the functionality of R and grab quality validation support from the industry recognized leaders.
Every field uses R in present times as R easily helps users to interpret , interact with and visualize Data at ease
R continues to shape the future of statistical analysis and data sciences with every passing moment.
Along with my friends i too started on to venture R in the world of data science, the stepping stone being a hands onlearning course from a website called DataCamp on R and there after solving a problem to predict the percentage of survivors of a historic ship wreck - The Titanic Wreck in Kaggle.
This is to notify that the data set considered for doing the analysis is fabricated.
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