TOP 10 Best R Packages For Data Analysis Results at 10Bestify.com
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.You’ll learn ... [Read More] Best R Packages For Data Analysis
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the TechnologyBusiness pros and researchers thr... [Read More] Best R Packages For Data Analysis
Key FeaturesLoad, manipulate and analyze data from different sourcesGain a deeper understanding of fundamentals of applied statisticsA practical guide to performing data analysis in practiceBook DescriptionFrequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With over 7,000 user contributed packages, it's easy to find support for the latest and greatest algorithms and techniques.Starting with the basics of R and statistical reasoning, Data Analysis with R dives into advanced predictive analytics, showing how to apply those techniques to real-... [Read More] Best R Packages For Data Analysis
Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few comma... [Read More] Best R Packages For Data Analysis
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models ... [Read More] Best R Packages For Data Analysis
The tested and proven method to price any home accurately!"Really great concepts that will help people. Content is awesome!"- Don Tennessen, Instructor Ninja Selling Inc.Tim DeLeon, creator of the massively popular real estate pricing tool, The Visual Pricing System, and Jonathan R. DeLeon have taken the expertise they have gained from helping real estate business professionals across the nation and Canada over the past decade, and found the tried and true home sales valuation technique that works best!Now they have created an easy, simple to understand book that teaches a new, visual approach to pricing homes. This approach is more than just finding the right price, but also a pricing process and powerful presentation technique.This book will have the most impact for any real estate busin... [Read More] Best R Packages For Data Analysis
An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; lay... [Read More] Best R Packages For Data Analysis
The BC-585P bundles together a Tanita BC-585F FitScan Body Composition Monitor and FB-731 3-Axes activity monitor (pedometer) in one package! The FitScan BC-585F is a unique and highly accurate body composition monitor. Using Tanita's exclusive FDA cleared Bioelectric Impedance Analysis (BIA) technology, this scale not only measures weight and body fat, it also tells you your muscle mass, body water %, daily caloric intake (DCI), metabolic age, bone mass, visceral fat and rates your physique. The muscle mass feature indicates the weight of muscle in the body. The Body Water % is the total amount of fluid in the body expressed as a percentage of total weight. The DCI reading is the daily amount of calories your body requires to maintain your current weight. The Metabolic Age compares your b... [Read More] Best R Packages For Data Analysis
All Neoteck Product Comes With 18 Months US Base Warranty Overview: This Neoteck Digital Anemometer is ideal for outdoor activities such as Sailing, Surfing, Hand-gliding, Shooting and Walking. It is also ideal for educational instruments. There are three modes to choose from, Maximum, Average and Current wind speed. Features: Large easy-to-read LCD display with backlight Wind speed in Beaufort wind scale bar graph High precision pressure sensor Quick response, external thermistor Auto/manual power off Temperature display in C/F Wind speed range: 0-30m/s Wind temperature range: -10 - 45 centigrade (14-113F) Current/max/average wind speed reading Wind speed unit: m/s, Km/h, ft/min, Knots, mph CE Approved Specification: Powered by a 3V CR2032 battery Thermometer: NTC Thermometer Operating Hu... [Read More] Best R Packages For Data Analysis
9781491957660 Best R Packages For Data Analysis Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. Purchase of the print book includes a free Best R Packages For Data Analysis SummaryR in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.Purchase of the print book includes a free eBook in
A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis--SQL and Excel--to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Best R Packages For Data Analysis A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis--SQL and Excel--to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel.
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis--from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts.New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.Develop an Best R Packages For Data Analysis If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis--from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts.New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.Develop an
A software guide for Excel 2013 walks readers through common scenarios, strategies to solve issues, and new ways to use formulas and Best R Packages For Data Analysis Updating the previous edition's tips to include features in Excel 2013, this new edition of Mr. Excel's popular software guide even incorporates suggestions sent in by readers. Each featured topic has a problem statement and description, followed by a broad strategy for solving the problem. Mr. Excel then walks readers through the specific steps to solve the issue. Alternate strategies are also provided, along with common scenarios that trip users up, leaving readers with not only answers to their specific dilemmas but also new and quicker ways to use formulas and
Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, da... R (Programming Language),Data Science,Data Analysis (Media Genre),Feature Engineering,Visualizati...
***** Python Online Training: https://www.edureka.co/python ***** ***** R Online Training: https://www.edureka.co/r-for-analytics ***** This Edureka video on R vs Python provides you with a short a... yt:cc=on,r vs python,python vs r,difference,best language for data science,programming language f...
In this video I look at how to start a project in R, how to import data and how to install a package. Packages like tidyverse or DPLYR or ggplot extend your data analysis capabilities a lot! This v... R programming,importing data,packages,R packages,R programming for beginners,tidyverse,dplyr,ggpl...
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