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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment;

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment;

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Mastering Shiny

Master the Shiny web framework-and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you;

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Using Shiny to Teach Econometric Models

This Element discusses how shiny, an R package, can help instructors teach quantitative methods more effectively by way of interactive web;

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Nonparametric Finance

An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function;

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Learn Ggplot2 Using Shiny App

, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or;

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Interactive Web-Based Data Visualization with R, plotly, and shiny

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive;

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Interactive Web-Based Data Visualization with R, plotly, and shiny

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive;

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Geospatial Health Data

geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and;

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Financial Risk Modelling & Portfolio Opt

Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must;

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Web Application Development with R Using Shiny -

book will guide you through basic data management and analysis with R through your first Shiny application, and then show you how to integrate;

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R Markdown

rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R;

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R Markdown

rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R;

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Applied Probabilistic Calculus for Financial Engineering

Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the;

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Mastering RStudio - Develop, Communicate, and Collaborate with R

* Manage the R environment for your organization with RStudio and Shiny server * Apply your obtained knowledge about RStudio and R development to;

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Households as Corporate Firms

This investigation proposes a conceptual framework for measurement necessary for an analysis of household finance and economic development;

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Households as Corporate Firms

This investigation proposes a conceptual framework for measurement necessary for an analysis of household finance and economic development;

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Financial Management MCQs

answers to ask, to prepare and to study for jobs interviews and career MCQs with answer keys.Cash flow estimation and risk analysis;

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iOS 8 for Programmers

) Object-Oriented Programming with Swift (TM) and Cocoa Touch (R) UI Design, Storyboards, Auto Layout, Outlets, Outlet Collections, Actions View;

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Reproducible Research with R and RStudio

Provides researchers with a reproducible research workflow for using R/RStudio to make the entire researchprocess reproducible; from data;

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Reproducible Research with R and RStudio

Provides researchers with a reproducible research workflow for using R/RStudio to make the entire researchprocess reproducible; from data;

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Report Writing for Data Science in R

data analyses should be published or made available with their data and software code so that others may verify the findings and build upon;

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Quantitative Trading with R

Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source;

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RStudio for R Statistical Computing Cookbook

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case;

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Advanced R 4 Data Programming and the Cloud

Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate;

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iPhone for Programmers

The professional programmer's DEITEL (R) guide to iPhone app development using iPhone SDK 3.x, Xcode (R), Objective-C (R) and Cocoa (R;

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