data visualization

Interactive Web-Based Data Visualization with R, plotly, and shiny【電子書籍】 Carson SievertHands-On Data Analysis with Pandas Efficiently perform data collection, wrangling, analysis, and visualization using Python【電子書籍】 Stefanie MolinData Visualization: A Practical Introduction DATA VISUALIZATION Kieran Healyデータ分析のためのデータ可視化入門 / 原タイトル:DATA VISUALIZATION 本/雑誌 (実践Data) / キーラン ヒーリー/著 瓜生真也/訳 江口哲史/訳 三村喬生/訳Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise【電子書籍】 Estelle ScifoMathematica Data Visualization【電子書籍】 Nazmus SaquibCartography Visualization of Geospatial Data, Fourth Edition【電子書籍】 Menno-Jan KraakStorytelling with Data A Data Visualization Guide for Business Professionals【電子書籍】 Cole Nussbaumer KnaflicIPythonデータサイエンスクックブック 対話型コンピューティングと可視化のためのレシピ集 / 原タイトル:IPython Interactive Computing and Visualization Cookbook 原著第2版の翻訳 本/雑誌 / CyrilleRossant/著 菊池彰/訳Rによるインタラクティブなデータビジュアライゼーション 探索的データ解析のためのplotlyとshiny / 原タイトル:Interactive Web‐Based Data Visualization with R plotly and shiny 本/雑誌 / CarsonSievert/著 ホクソエム/監訳 輿石拓真/訳 今井康貴/訳 高木誠二/訳 和Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data【電子書籍】Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web【電子書籍】 Adrian Salceanuデータビジュアライゼーションの基礎 明確で 魅力的で 説得力のあるデータの見せ方 伝え方 / 原タイトル:Fundamentals of Data Visualization 本/雑誌 / ClausO.Wilke/著 小林儀匡/訳 瀬戸山雅人/訳A History of Data Visualization and Graphic Communication【電子書籍】 Michael FriendlyInteractive Visualization and Plotting with Julia Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more【電子書籍】 Diego Javier ZeaData Visualization: a successful design process【電子書籍】 Andy KirkManaging and Visualizing Your BIM Data Understand the fundamentals of computer science for data visualization using Autodesk Dynamo, Revit, and Microsoft Power BI【電子書籍】 Ernesto PellegrinoElastic Stack実践ガイド A Guide to Distributed search,Analytics,and Visualization Elasticsearch/Kibana編 データ分析基盤によるログ収集 解析 可視化/惣道哲也Fundamentals of Data Visualization A Primer on Making Informative and Compelling Figures【電子書籍】 Claus O. WilkeTIBCO Spotfire: A Comprehensive Primer Building enterprise-grade data analytics and visualization solutions, 2nd Edition【電子書籍】 Andrew Berridge
 

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  • <p>The richly illustrated <strong>Interactive Web-Based Data Visualization with R, plotly, and shiny</strong> focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web programming. Through many R code examples, you will learn how to tap the extensive functionality of these tools to enhance the presentation and exploration of data. By mastering these concepts and tools, you will impress your colleagues with your ability to quickly generate more informative, engaging, and reproducible interactive graphics using free and open source software that you can share over email, export to pdf, and more.</p> <p>Key Features:</p> <ul> <li></li> <li>Convert static ggplot2 graphics to an interactive web-based form</li> <li></li> <li>Link, animate, and arrange multiple plots in standalone HTML from R<...
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  • <p><strong>Get to grips with pandasーa versatile and high-performance Python library for data manipulation, analysis, and discovery</strong></p> <h4>Key Features</h4> <ul> <li>Perform efficient data analysis and manipulation tasks using pandas</li> <li>Apply pandas to different real-world domains using step-by-step demonstrations</li> <li>Get accustomed to using pandas as an effective data exploration tool</li> </ul> <h4>Book Description</h4> <p>Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value.</p> <p>Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wra...
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  • DATA VISUALIZATION Kieran Healy PRINCETON UNIV PR2018 Paperback English ISBN:9780691181622 洋書 Social Science(社会科学) Social Science
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  • ご注文前に必ずご確認ください<商品説明>全世界のRユーザーが絶賛したベストセラーがついに翻訳!!可視化の奥深さを、すべての人に。ggplotとtidyverseの事前知識ゼロでも、すぐに実践できる!データを可視化する手順と意図が一冊で学べる!<収録内容>第1章 データを見る第2章 さあ、始めよう!第3章 プロットを作る第4章 正しい数値の示し方第5章 データの整形・ラベル・メモの追加第6章 モデルデータの可視化第7章 地図を描画する第8章 プロットを整える付録A<商品詳細>商品番号:NEOBK-2579926Hiri Ki Ran J.ri /HEALY KIERAN JOSEPH Uriyu Shin / Yaku Eguchi Akifumi Satoshi / Yaku Mitsumura Koki Sei / Yaku / Data Bunseki No Tame No Data Kashi Ka Nyumon / Original Title: DATA VISUALIZATION (Jissen Data)メディア:本/雑誌重量:668g発売日:2021/01JAN:9784065164044データ分析のためのデータ可視化入門 / 原タイトル:DATA VISUALIZATION[本/雑誌] (実践Data) / キーラン・ヒーリー/著 瓜生真也/訳 江口哲史/訳 三村喬生/訳2021/01発売
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  • <p><strong>Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning</strong></p> <h4>Key Features</h4> <ul> <li>Get up and running with graph analytics with the help of real-world examples</li> <li>Explore various use cases such as fraud detection, graph-based search, and recommendation systems</li> <li>Get to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scaling</li> </ul> <h4>Book Description</h4> <p>Neo4j is a graph database that includes plugins to run complex graph algorithms.</p> <p>The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You'll find out how to implement Neo4j algorithms ...
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  • <p>If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>This Fourth Edition of <strong>Cartography: Visualization of Geospatial Data</strong> serves as an excellent introduction to general cartographic principles. It is an examination of the best ways to optimize the visualization and use of spatiotemporal data. Fully revised, it incorporates all the changes and new developments in the world of maps, such as OpenStreetMap and GPS (Global Positioning System) based crowdsourcing, and the use of new web mapping technology and adds new case studies and examples. Now printed in colour throughout, this edition provides students with the knowledge and skills needed to read and understand maps and mapping changes and offers professional cartographers an updated reference with the latest developments in cartography.</p> <p>Written by the leading scholars in cartography, this work is a comprehensive resource, perfect for senior undergraduate and graduate students taking courses in GIS (geographic information system) and cartography.<...
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  • <p><strong>Don't simply show your dataーtell a story with it!</strong></p> <p><em>Storytelling with Data</em> teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examplesーready for immediate application to your next graph or presentation.</p> <p>Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:</p> <ul> <li>Understand the importance of context and audience</li> <li>Determine the appropriate type of graph for your ...
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  • ご注文前に必ずご確認ください<商品説明>さらに使いやすく便利になったJupyter Notebookで科学技術計算、データ分析、機械学習!広範囲にわたる科学の分野をカバー。圧倒的情報量で「やりたいこと」が必ず見つかる珠玉のレシピ集。<収録内容>1部 Jupyterを使った対話的コンピューティング(JupyterとIPythonによる対話的コンピューティング入門対話的コンピューティングのベストプラクティスJupyter Notebookをマスターするプロファイリングと最適化ハイパフォーマンスコンピューティングデータビジュアライゼーション)2部 データサイエンスと応用数学の標準的技法(統計的データ分析機械学習数値最適化信号処理画像処理と音声処理決定論的力学系確率力学系グラフ、幾何学、地理情報システム記号処理と数値解析付録A 日本語の取り扱い)<商品詳細>商品番号:NEOBK-2366465CyrilleRossant / Cho Kikuchi Akira / Yaku / IPython Data Science Kukkubukku Taiwa Gata Computing to Kashi Ka No Tame No Recipe Shu / Original Title: IPython Interactive Computing and Visualization Cookbook Gencho Dai2 Han No Honyakuメディア:本/雑誌発売日:2019/05JAN:978487311...
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  • ご注文前に必ずご確認ください<商品説明><収録内容>導入第1部 グラフの作成第2部 グラフのパブリッシュ第3部 複数のグラフを用いた表現第4部 グラフの連携第5部 JavaScriptによるイベントハンドリング第6部 その他のトピック<アーティスト/キャスト>和田尚樹(演奏者)<商品詳細>商品番号:NEOBK-2738097CarsonSievert / Shiru Ho Kusoemu / Kanyaku Koshishi Taku Shin / Yaku Imai Yasutaka / Yaku Takagi Seiji / Yaku Wada Naoki / Yaku / R Niyoru Interactivena Data Visualization Tansaku Teki Data Kaiseki No Tame No Plotly to Shiny / Hara Title : Interactive Web Based Data Visualization with R Plotly and Shinyメディア:本/雑誌重量:584g発売日:2022/05JAN:9784320124868Rによるインタラクティブなデータビジュアライゼーション 探索的データ解析のためのplotlyとshiny / 原タイトル:Interactive Web‐Based Data Visualization with R plotly and shiny[本/雑誌] / CarsonSievert/著 ホクソエム/監訳 輿石拓真/訳 今井康貴/訳 高木誠二/訳 和田尚樹/訳2022/05発売
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  • <p>Arising from the fourth Dagstuhl conference entitled Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data (2011), this book offers a broad and vivid view of current work in this emerging field. Topics covered range from applications of the analysis of tensor fields to research on their mathematical and analytical properties.</p> <p>Part I, Tensor Data Visualization, surveys techniques for visualization of tensors and tensor fields in engineering, discusses the current state of the art and challenges, and examines tensor invariants and glyph design, including an overview of common glyphs.</p> <p>The second Part, Representation and Processing of Higher-order Descriptors, describes a matrix representation of local phase, outlines mathematical morphological operations techniques, extended for use in vector images, and generalizes erosion to the space of diffusion weighted MRI.</p> <p>Part III, Higher Order Tensors and Riemannian-Fin...
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  • <p><strong>A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools</strong></p> <h4>Key Features</h4> <ul> <li>Work with powerful open-source libraries for data wrangling, analysis, and visualization</li> <li>Develop full-featured, full-stack web applications</li> <li>Learn to perform supervised and unsupervised machine learning and time series analysis with Julia</li> </ul> <h4>Book Description</h4> <p>Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing.</p> <p>After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, inc...
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  • ご注文前に必ずご確認ください<商品説明>「伝えたいことをきちんと伝える」ためにデータビジュアライゼーションの原則、哲学、美学を理解する。<収録内容>第1部 データからビジュアライゼーションへ(データを可視化する:データからエスセティクスへのマッピング座標系と座標軸カラースケール ほか)第2部 図のデザインの原則(プロポーショナルインクの原則重なり合った点の扱い方色を使う際によくはまる落とし穴 ほか)第3部 その他のトピック(一般的な画像ファイル形式を理解する適切な可視化ソフトウェアを選ぶストーリーを伝え、強調する)付録<商品詳細>商品番号:NEOBK-2718278ClausO. Wilke / Cho Kobayashi Tadashi Tadashi / Yaku Setoyama Masato / Yaku / Data Visualization No Kiso Meikakude Miryoku Tekide Settoku Ryoku No Aru Data No Mise Kata Tsutae Kata / Original Title: Fundamentals of Data Visualizationメディア:本/雑誌重量:682g発売日:2022/03JAN:9784873119533データビジュアライゼーションの基礎 明確で、魅力的で、説得力のあるデータの見せ方・伝え方 / 原タイトル:Fundamentals of Data Visualization[本/雑誌] / ClausO.Wilke/...
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  • <p><strong>A comprehensive history of data visualizationーits origins, rise, and effects on the ways we think about and solve problems.</strong></p> <p>With complex information everywhere, graphics have become indispensable to our daily lives. Navigation apps show real-time, interactive traffic data. A color-coded map of exit polls details election balloting down to the county level. Charts communicate stock market trends, government spending, and the dangers of epidemics. <em>A History of Data Visualization and Graphic Communication</em> tells the story of how graphics left the exclusive confines of scientific research and became ubiquitous. As data visualization spread, it changed the way we think.</p> <p>Michael Friendly and Howard Wainer take us back to the beginnings of graphic communication in the mid-seventeenth century, when the Dutch cartographer Michael Florent van Langren created the first chart of statistical data, which showed estimates of the distance...
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  • <p>Represent and analyze data using Plots to find actionable insights using Julia programming Key Features ? Learn to use static and interactive plots to explore data with Julia ? Become well versed with the various plotting attributes needed to customize your plots ? Create insightful and appealing plots using data interactions, animations, layouts, and themes Book Description The Julia programming language offers a fresh perspective into the data visualization field. Interactive Visualization and Plotting with Julia begins by introducing the Julia language and the Plots package. The book then gives a quick overview of the Julia plotting ecosystem to help you choose the best library for your task. In particular, you will discover the many ways to create interactive visualizations with its packages. You'll also leverage Pluto notebooks to gain interactivity and use them intensively through this book. You'll find out how to create animations, a handy skill for communication and tea...
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  • <p>A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>Learn how to make optimum use of your BIM data using Dynamo to make better design decisions and create feature-rich dashboards using Power BI to track your model's data Key Features ? A go-to guide for AEC professionals to analyze and manage their data ? Explore popular use cases and best practices from experts around the world ? Create efficient dashboards using Dynamo and Power BI Book Description Business intelligence software has rapidly spread its roots in the AEC industry during the last few years. This has happened due to the presence of rich digital data in BIM models whose datasets can be gathered, organized, and visualized through software such as Autodesk Dynamo BIM and Power BI. Managing and Visualizing Your BIM Data helps you understand and implement computer science fundamentals to better absorb the process of creating Dynamo scripts and visualizing the collected data on powerful dashboards. This book provides a hands-on approach and associated methodologies that ...
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  • 著者惣道哲也(著)出版社インプレス発売日2020年08月ISBN9784295009771ページ数335PキーワードえらすていつくすたつくじつせんがいどELASTIC エラステイツクスタツクジツセンガイドELASTIC そうどう てつや ソウドウ テツヤ9784295009771内容紹介Elastic Stackは、単なる全文検索システムではなく、Webシステム管理者、データサイエンティスト、インフラエンジニアなど、幅広い用途で利用できるデータ分析基盤です。本書は、Elastic Stack 7.6をベースに、分散型全文検索システムによるデータ分析基盤の構築、Elasticsearchのインデックスの作成やクエリの基本的な使い方、Analyzer/Aggregationによる高度な分析やElastic Stackによるログ収集・解析・可視化など、全文検索の基礎から具体的なデータ分析の手法まで、豊富な事例と応用的な使い方をまとめた実践ガイドです。※本データはこの商品が発売された時点の情報です。目次第1章 Elasticsearchとは/第2章 Elasticsearchの基礎/第3章 ドキュメント/インデックス/クエリの基本操作/第4章 Analyzer/Aggregation/スクリプティングによる高度なデータ分析/第5章 システム運用とクラスタの管理/第6章 Elastic Stackインテ...
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  • <p>Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.</p> <p>This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.</p> <ul> <li>Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value</li> <li>Understand the importance of redundant coding to ensure you provide key information in multiple ways</li> <l...
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  • <p><strong>Create innovative informatics solutions with TIBCO Spotfire</strong></p> <h4>Key Features</h4> <ul> <li>Get to grips with a variety of TIBCO Spotfire features to create professional applications</li> <li>Use different data and visualization techniques to build interactive analyses.</li> <li>Simplify BI processes and understand data analysis and visualization</li> </ul> <h4>Book Description</h4> <p>The need for agile business intelligence (BI) is growing daily, and TIBCO Spotfire? combines self-service features with essential enterprise governance and scaling capabilities to provide best-practice analytics solutions. Spotfire is easy and intuitive to use and is a rewarding environment for all BI users and analytics developers.</p> <p>Starting with data and visualization concepts, this book takes you on a journey through increasingly advanced topics to help you work toward becoming a professional analytics solution provider. Examples of...
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