Mastering Shiny: Build Interactive Apps, Reports, and...

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Mastering Shiny: Build Interactive...

Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R

Hadley Wickham

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Κατηγορίες:

Computers - Databases

Έτος:

2021

Έκδοση:

1

Εκδότης:

O'Reilly Media

Γλώσσα:

english

Σελίδες:

372

ISBN 10:

1492047384

ISBN 13:

9781492047384

Αρχείο:

EPUB, 6.73 MB

IPFS:

,

english, 2021

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Η μετατροπή σε βρίσκεται σε εξέλιξη

Η μετατροπή σε απέτυχε

Ίσως σας ενδιαφέρει

Hadley Wickham — Mastering Shiny

Amelia Wattenberger; Nate Murray (ed) — Fullstack D3 and Data Visualization: Build Beautiful Data Visualizations and Dashboards with D3

Jonathan Schwabish — Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks

Hadley Wickham — Advanced R (Second Edition)

Colin Fay; Sébastien Rochette; Vincent Guyader; Cervan Girard — Engineering Production-Grade Shiny Apps

Yihui Xie — R Markdown Cookbook (Chapman & Hall/CRC The R Series)

Leland Wilkinson, D. Wills, D. Rope, A. Norton, R. Dubbs — The Grammar of Graphics

Hadley Wickham — ggplot2: Elegant Graphics For Data Analysis

Albert-László Barabási, Jennifer Frangos — Linked

Malte Grosser, Henning Bumann, Hadley Wickham — Advanced R Solutions

David Granjon — Outstanding User Interfaces with Shiny

Malte Grosser, Henning Bumann, Hadley Wickham — Advanced R Solutions

Carson Sievert — Interactive Web-Based Data Visualization with R, Plotly, and Shiny

Sievert, Carson; — Interactive Web-Based Data Visualization with R, Plotly, and Shiny

Steven H. Strogatz — Sync: How Order Emerges From Chaos in the Universe, Nature, and Daily Life

Garrett Grolemund, Hadley Wickham — Hands-On Programming with R: Write Your Own Functions and Simulations

Grolemund, Garrett;Wickham, Hadley — R for data science: import, tidy, transform, visualize, and model data

Hadley Wickham, Garrett Grolemund — R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham — R Packages

Jd Long; Paul Teetor — R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

Hadley Wickham — Mastering Shiny

Jens Albrecht, Sidharth Ramachandran, Christian Winkler — Blueprints for Text Analytics Using Python

Downey, Allen B. — Think Bayes: Bayesian Statistics in Python

Max Kuhn & Julia Silge — Tidy Modeling with R

Robert I. Kabacoff — R in Action

Steven Pinker — Racionalidade: O que é, por que parece estar em falta, por que é importante

黑马程序员 — Android移动开发基础案例教程

Steven Pinker — Guia de Escrita: como conceber um texto com clareza, precisão e elegância

Jodie Burchell, Mauricio Vargas Sepúlveda — The Hitchhiker’s Guide To Ggplot2 In R: Don’t Panic And Create Beautiful Plots With R

Michael Schilli — Perl Power!: A JumpStart Guide to Programming with Perl 5

Unknown — sep010.indd

Hans Berger — Automating with SIMATIC

Hans Berger — Automating with SIMATIC

Desconocido — sep010.indd

Basics of PLCs — Siemens Technical Education Program

Brian Caffo — Developing Data Products in R

Michael Freeman, Joel Ross — Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R

Joanna M. Griffith — PROGRAMMABLE CONTROLLERS

Ambily K.K. — Beginning Web Application Development with Node

DAG H.HANSSEN — PROGRAMMABLE LOGIC CONTROLLERS A PRACTICAL APPROACH TO IEC 61131-3 USING CODESYS

Desconocido — sep010.indd

K.L.S. Sharma (Auth.) — Overview of Industrial Process Automation

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