Load Data in R – How to load data from a R-dataset library

Hits: 25

Load Data in R – How to load data from a R-dataset library

Loading data from a R-dataset library is a useful way to access pre-built datasets that are included in various R packages. These libraries usually contain a wide range of datasets that can be used for different types of data analysis and machine learning tasks.

To load data from a R-dataset library, you first need to install the library if it’s not already installed. This can be done by using the install.packages() function in R. Once the library is installed, you can load it into your current R session by using the library() function.

Once the library is loaded, you can access the datasets that it contains by using the data() function. This function lists all the datasets that are included in the library, and you can select one to load into your R session.

For example, if you want to load the iris dataset from the datasets library, you can use the command data(iris) after the library(datasets) command.

Once the data is loaded, it will be stored in a data frame, which is a special type of object in R that is used to store and manipulate tabular data. You can then use the data frame to perform various operations, such as filtering, sorting, and aggregating the data.

In summary, loading data from a R-dataset library is a useful way to access pre-built datasets that are included in various R packages. To load data from a R-dataset library, you first need to install the library if it’s not already installed. Once the library is loaded, you can access the datasets that it contains by using the data() function. Once the data is loaded, it will be stored in a data frame, which is a special type of object in R that is used to store and manipulate tabular data. You can then use the data frame to perform various operations, such as filtering, sorting, and aggregating the data.

 

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: How to load data from a R-dataset library.

Load Data in R – How to load data from a R-dataset library

 

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners

There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $19.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!