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Exploratory Data Analysis Using Fisher Information

This book uses a mathematical approach to deriving the laws of science and technology, based upon the concept of Fisher information. The;

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Hands-On Exploratory Data Analysis with R

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your;

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PySpark SQL Recipes

different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You'll also discover how to;

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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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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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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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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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Exploring Data Tables, Trends, And Shapes

...provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks;

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Exploratory Data Analysis in Empirical Research

This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous;

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Applied Multivariate Analysis

theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter;

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Scala Data Analysis Cookbook

visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential;

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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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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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Exploratory Factor Analysis

contexts is whether the structure of associations that underlies the data is accounted for by a latent construct. Exploratory factor analysis is a;

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Exploratory Data Mining and Data Cleaning

based analysis techniques. Exploratory Data Mining and Data Cleaning will serve as an important reference for serious data analysts who need to;

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Learn PySpark

learn to use this language to perform exploratory data analysis and solve an array of business challenges. You'll start by reviewing PySpark;

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Learn PySpark

learn to use this language to perform exploratory data analysis and solve an array of business challenges. You'll start by reviewing;

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Practical Data Science with SAP Machine Learning Techniques for Enterprise Data

discovering data truths. Use data to tell revealing stories about your customers Model purchase requisition data using exploratory data analysis;

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Statistical Data Mining Using SAS Applications

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features;

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Exploratory Causal Analysis with Time Series Data

experiments. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This;

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Multivariate Humanities

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory;

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Multivariate Humanities

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory;

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Analysis Of Longitudinal Data

and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data;

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Nonparametric Function Estimation, Modeling, and Simulation

analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling;

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Making Sense of Data I

Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that;

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Spatial Analysis Methods and Practice

analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.;

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