data-science2018-05-07
Handling Date and Time in R
R has a special way of representing dates and times, which can be helpful if you're working with data that show how something changes over time (i.e. time-series data) or if your
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data-science2018-05-06
Functions in R - Creating your first R function
Functions are one of the fundamental building blocks of the R language. They are small pieces of reusable code that can be treated like any other R object. Functions are usually ch
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Matrices and Data Frames in R
In this tutorial, we'll cover matrices and data frames. Both represent ‘rectangular' data types, meaning that they are used to store tabular data, with rows and columns. The main
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Subset Vectors in R
In this tutorial, we'll see how to extract elements from a vector based on some conditions that we specify. For example, we may only be interested in the first 20 elements of a vec
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Missing Values in R
Missing values play an important role in statistics and data analysis. Often, missing values must not be ignored, but rather they should be carefully studied to see if there's an u
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Logical and Character Vectors in R
The simplest and most common data structure in R is the vector. Vectors come in two different flavors: atomic vectors and lists. An atomic vector contains exactly one data type, wh
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data-science2018-04-30
Generating Sequence numbers in R - seq(), rep() c() etc.
In this tutorial, you'll learn how to create sequences of numbers in R using functions such as seq(), rep(), c() etc. The simplest way to create a sequence of numbers in R is by us
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File handling commands in R
In this tutorial, you'll learn how to examine your local workspace in R and begin to explore the relationship between your workspace and the file system of your machine. Because di
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Discrete Vs Continuous Random Variables in R
Random in statistics does not mean ‘haphazard' but it means a kind of order that emerges in the long run. For example we term unpredictable things that happen in our life as ‘r
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Basic Building Blocks of R
In this tutorial, we will explore some basic building blocks of the R programming language. To complete this tutorial, let us use R Studio to get our hands on experience. If you ha
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Overview and History of R
In the world of data science, two popular programming languages are used today. R and Python. For a good comparison of R and Python read this tutorial. Personally I prefer R over P
Read tutorialdata-science2018-04-12
What are the different types of Analysis a Data Scientist would do?
This tutorial discusses some basic concepts of Data Science. Data Scientist's Job always starts with a question that needs to be answered. There are few different kinds of question
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