# Tag Archives: Data Science

## Learn R – What are Vectors – Code Examples

This article represents high level concepts in relation with Vector data type in R programming language along with code samples. For those new to R language, it should be noted that R provides a console-based platform to perform analysis on data. R can be seen as a programming language for data scientist. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the key points described later in this article: What are Vectors? Vectors – Code Examples   What are Vectors? Vector, in R, can be defined as a collection of things of same data type. Simply speaking, it …

Posted in Big Data. Tagged with , .

## Data Science – Commonly Used Plot Parameters in R Programming

This article represents some of the commonly used plot parameters across different plot commands, while you are working with different kind of plots in R. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the key points described later in this article: What are some of the common plots (commands) in R? Commonly Used Plot Parameters   What are some of the common plots (commands) in R? Following represents some of the plots (commands) used in R language for different purposes. I shall be writing different blog on different use-cases where one should use one or more …

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## Data Science – Why Learn R?

This article represents thoughts on why it is OK to learn yet another programming language named as R for doing data analysis. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the some of the key points described later in this article: Why can’t I use Java/C etc for data analysis? Key Aspects of Data Analysis vis-a-vis R Language Why R fundamentally? Advantages & Disadvantages of R   Why can’t I use Java/C etc for data analysis? I have worked a lot with Java/C/PHP/C++ etc in my career. From whatever I have known about R by now, …

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## Key to Big Data: Data Science & Data Framework

Good familiarity with data science is key to getting on board with Big Data implementations. Almost all software services provider has added another link for Big Data for their services offerings. Most of them have an understanding that a Hadoop team comprising of technical team familiar with Hadoop technology stack shall be able to successfully implement Big Data project. However, this is far from the reality. One of the keys to successful Big Data implementation projects is “Data Science“. And, another aspect is “Data Framework“. The two when done jointly would get a team do successful Big Data implementation. What is Data Science? Data Science, simply speaking, is understanding meta-data …