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Hands-On Exploratory Data Analysis with R

Discover and practice graphical exploratory analysis techniques across domains Book DescriptionHands-On Exploratory Data Analysis with R will;

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Hands-On Data Science with R

Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Advancing into Analytics

Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide;

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Data Science Using Python and R

produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for;

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Statistical Analysis of Financial Data: With Examples in R

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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Exploratory Multivariate Analysis by Example Using R

"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal;

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Spatial Data Analysis in Ecology and Agriculture Using R

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical;

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Mastering Social Media Mining with R

media APIs in R to capture data and tame it * Employ the machine learning capabilities of R to gain optimal business value * A hands-on guide;

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R Data Analysis Cookbook -

become an expert in data analysis with R, and put your skills to test in real-world scenarios. Style and Approach * Hands-on recipes to walk;

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Humanities Data In R

readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open;

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R

will show you ways to use R to generate professional analysis reports. We'll then move on to visualizing our data - this provides you with all;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

is based on R for EFA - a highly popular and free to use statistics software package. 3. Clear step-by-step guidance combined with screen shots to;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

is based on R for EFA - a highly popular and free to use statistics software package. 3. Clear step-by-step guidance combined with screen shots to;

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Hands-On Exploratory Data Analysis with Python

fundamental concepts of exploratory data analysis using Python Find missing values in your data and identify the correlation between different;

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Statistical Application Development with R and Python -

. Every step is taken with DATA and R code, and further enhanced by Python. The data analysis journey begins with exploratory analysis, which;

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Analyzing Qualitative Data

This book offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted;

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Discrete Data Analysis with R

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and;

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Chemometrics with R

description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to;

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Understanding Robust And Exploratory Data Analysis

some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use;

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R for Data Science Cookbook

encountered while performing data analysis. Style and approach This easy-to-follow guide is full of hands-on examples of data analysis with R;

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R in Action

expanded third edition of R in Action covers the new tidy verse approach to data analysis and R's state-of-the-art graphing capabilities with the;

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Basic Data Analysis for Time Series with R

on Fourier series and Akaike's Information Criterion (AIC). In addition, Basic Data Analysis for Time Series with R also features: * Real;

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Practical Data Science Cookbook -

understand the installation procedure and environment required for R and Python on various platforms * Prepare data for analysis by implement;

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Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to;

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