Working with vectors in R

Learn how to create a vector of values, access a specific element or elements within a vector, apply conditions to vector values, get the length of a vector, and more ways to work with vectors.

r programming data-science

Learn the essential concepts in data science and understand the important packages in R for data science. You will look at some of the widely used data science algorithms such as Linear regression, logistic regression, decision trees, random forest, including time-series analysis. Finally, you will get an idea about the Salary structure, Skills, Jobs, and resume of a data scientist.

A data scientist/analyst in the making needs to format and clean data before being able to perform any kind of exploratory data analysis.

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This video on Data Manipulation in R will help you learn how to transform and summarize your data using different packages and functions. You will use the dplyr package to select, filter, arrange, and mutate data. You will use the tidyr library to create tidy data. You will look at functions such as gather, spread, separate, and unite. Let's begin!