Making Data Visual: A Practical Guide to Using Visualization for Insight

Danyel Fisher, Miriah Meyer

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商品描述

You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you’re stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden?

If you’re a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It’s ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data.

With this book, you’ll learn:

  • Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored
  • Visualization patterns, each of which take a different perspective on data and answer different questions
  • A taxonomy of visualizations for common data types
  • Techniques for gathering design requirements
  • When and where to make use of statistical methods

商品描述(中文翻譯)

你面前有一堆數據,並且有一套計算工具供你使用。然而,你卻不知道如何將這些數據轉化為洞察力。哪部分數據真正重要,這個洞察力又藏在哪裡呢?

如果你是一位在數據和洞察力之間苦苦掙扎的數據科學家,這本書將幫助你思考並重新塑造數據,以進行視覺化數據探索。這本書非常適合相對新手的數據科學家,他們可能對計算機和數據有一定的了解,但還不知道如何創建有效的、可探索的數據表示形式。

通過這本書,你將學到以下內容:
- 由一系列引導性問題驅動的任務分析,揭示出要探索的數據的重要方面
- 不同視角的可視化模式,回答不同的問題
- 適用於常見數據類型的可視化分類法
- 收集設計需求的技巧
- 何時以及在哪裡使用統計方法