The Data Visualization Workshop: A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
暫譯: 數據視覺化工作坊：自學實用方法將複雜數據轉化為引人入勝的圖形

Döbler, Mario, Großmann, Tim

The Data Visualization Workshop: A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
  • 出版商: Packt Publishing
  • 出版日期: 2020-07-27
  • 售價: $2,010
  • 貴賓價: 9.5 折 $1,910
  • 語言: 英文
  • 頁數: 536
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1800568843
  • ISBN-13: 9781800568846
  • 相關分類: Data-visualization

    • 海外代購書籍(需單獨結帳)

商品描述

Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop

Key Features

  • Discover the essential tools and methods of data visualization
  • Learn to use standard Python plotting libraries such as Matplotlib and Seaborn
  • Gain insights into the visualization techniques of big companies

Book Description

Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data?

The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities.

Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you'll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You'll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you've ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you'll use the Bokeh library to create dynamic visualizations that can be integrated into any web page.

By the end of this workshop, you'll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.

What you will learn

  • Understand the importance of data visualization in data science
  • Implement NumPy and pandas operations on real-life datasets
  • Create captivating data visualizations using plotting libraries
  • Use advanced techniques to plot geospatial data on a map
  • Integrate interactive visualizations to a webpage
  • Visualize stock prices with Bokeh and analyze Airbnb data with Matplotlib

Who this book is for

The Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-school-level math will help you grasp the concepts covered in this data visualization book more quickly and effectively.

商品描述(中文翻譯)

探索使用 Python 進行數據可視化的現代方法，並通過這個適合初學者的工作坊將大型現實世界數據集轉換為表現力豐富的視覺圖形

主要特點


  • 發現數據可視化的基本工具和方法

  • 學習使用標準的 Python 繪圖庫，如 Matplotlib 和 Seaborn

  • 深入了解大型公司的可視化技術

書籍描述

你想將數據轉換為引人入勝的圖像嗎？你想讓你的觀眾輕鬆處理和理解隱藏在數據中的模式、趨勢和關係嗎？

數據可視化工作坊將引導你進入數據可視化的世界，並幫助你解鎖將數據轉換為有意義的視覺效果的簡單秘訣，通過令人興奮的練習和活動來實現。

本書從數據可視化的介紹開始，展示如何使用 NumPy 和 pandas 操作來準備原始數據進行可視化。隨著進展，你將使用繪圖技術，如比較和分佈，來識別數據集之間的關係和相似性。然後，你將通過實踐練習來簡化使用 Python 繪圖庫（如 Matplotlib 和 Seaborn）創建可視化的過程。如果你曾經想知道像 Uber 和 Airbnb 這樣的知名公司如何使用 geoplotlib 進行地理可視化，本書將幫助你有效地分析和理解這一過程。最後，你將使用 Bokeh 庫創建可以集成到任何網頁中的動態可視化。

在這個工作坊結束時，你將學會如何通過創建具有影響力的可視化來呈現引人入勝的關鍵見解，並使用現實世界的數據。

你將學到什麼


  • 理解數據可視化在數據科學中的重要性

  • 在現實數據集上實施 NumPy 和 pandas 操作

  • 使用繪圖庫創建引人入勝的數據可視化

  • 使用高級技術在地圖上繪製地理空間數據

  • 將互動式可視化集成到網頁中

  • 使用 Bokeh 可視化股票價格，並使用 Matplotlib 分析 Airbnb 數據

本書適合誰

數據可視化工作坊適合希望學習數據可視化的初學者，以及希望豐富其實用數據科學技能的開發人員和數據科學家。對數據分析、數據科學和可視化的先前知識並不是必需的。對 Python 基礎知識和高中數學的了解將幫助你更快、更有效地掌握本書中涵蓋的概念。

作者簡介

Mario Döbler is a Ph.D. student with a focus on deep learning at the University of Stuttgart. He previously interned at the Bosch Center for artificial intelligence in the Silicon Valley in the field of deep learning. He used state-of-the-art algorithms to develop cutting-edge products. In his master thesis, he dedicated himself to applying deep learning to medical data to drive medical applications.

Tim Großmann is a computer scientist with interest in diverse topics, ranging from AI and IoT to Security. He previously worked in the field of big data engineering at the Bosch Center for Artificial Intelligence in Silicon Valley. In addition to that, he worked on an Eclipse project for IoT device abstractions in Singapore. He's highly involved in several open-source projects and actively speaks at tech meetups and conferences about his projects and experiences.

作者簡介(中文翻譯)

**馬里奧·多布勒**是斯圖加特大學專注於深度學習的博士生。他曾在矽谷的博世人工智慧中心實習，專注於深度學習領域。他使用最先進的演算法開發尖端產品。在他的碩士論文中，他致力於將深度學習應用於醫療數據，以推動醫療應用的發展。

**蒂姆·格羅斯曼**是一位計算機科學家，對多樣的主題感興趣，涵蓋人工智慧（AI）、物聯網（IoT）到安全性等領域。他曾在矽谷的博世人工智慧中心從事大數據工程的工作。此外，他還在新加坡參與了一個針對物聯網設備抽象的Eclipse項目。他積極參與多個開源項目，並在技術聚會和會議上分享他的項目和經驗。

目錄大綱

  1. The Importance of Data Visualization and Data Exploration
  2. All You Need to Know about Plots
  3. A Deep Dive into Matplotlib
  4. Simplifying Visualizations Using Seaborn
  5. Plotting Geospatial Data
  6. Making Things Interactive with Bokeh
  7. Combining What We Have Learned

目錄大綱(中文翻譯)


  1. The Importance of Data Visualization and Data Exploration

  2. All You Need to Know about Plots

  3. A Deep Dive into Matplotlib

  4. Simplifying Visualizations Using Seaborn

  5. Plotting Geospatial Data

  6. Making Things Interactive with Bokeh

  7. Combining What We Have Learned

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