數據可視化技術與應用

朱婷婷 等

  • 出版商: 電子工業
  • 出版日期: 2026-09-01
  • 定價: $299
  • 售價: $298
  • 語言: 簡體中文
  • 頁數: 200
  • ISBN: 712153603X
  • ISBN-13: 9787121536038
  • 下單後立即進貨 (約4週~6週)

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本書系統闡述數據可視化技術的核心理論、實用工具、方法體系及行業應用,兼顧理論深度與實踐導向,構建了“基礎—工具—方法—應用—前沿”的閉環知識鏈。全書共 8 章,從數據可視化概述入手,逐步講解視覺通道、流程與設計原則等基礎內容,詳解 Excel、Power BI、Tableau、Python 等主流工具的操作邏輯,分類介紹各類數據的可視化方法,重點融合大模型、數據挖掘與可視化的交叉應用,結合智慧城市、醫療健康等多行業案例拆解實踐技巧,最後展望技術發展趨勢與倫理挑戰。本書特色在於緊跟技術前沿,將大模型等新興技術與傳統可視化方法有機結合,案例貼合實際應用場景,兼顧科學性與實用性;結構層次清晰,循序漸進,適配教學與自學需求。本書可供高等院校計算機、大數據、統計學、信息管理等相關專業本科生使用,同時可供從事數據處理、數據分析、可視化設計的工程技術人員及相關領域研究者參考使用。

目錄大綱

第 1 章 數據可視化概述 ·····················································································1
1.1 什麼是數據可視化 ···········································································1
1.2 數據可視化的發展歷史 ·····································································2
1.2.1 17 世紀以前:早期地圖和圖表 ··················································2
1.2.2 17 世紀:測量與理論 ······························································3
1.2.3 18 世紀:圖形表示的擴展與創新 ···············································4
1.2.4 19 世紀上半葉:現代圖形的開端 ···············································4
1.2.5 19 世紀下半葉:統計圖形的黃金時代 ·········································5
1.2.6 20 世紀下半葉:高交互式和動態數據可視化 ································7
1.3 數據可視化的分類 ···········································································8
1.3.1 科學可視化 ···········································································8
1.3.2 信息可視化 ···········································································8
1.3.3 可視化分析 ···········································································9
1.4 數據可視化的作用 ···········································································9
1.4.1 信息記錄 ··············································································9
1.4.2 推理分析 ···········································································.10
1.4.3 信息傳播與協同 ··································································.10
1.5 數據可視化的應用 ········································································.11
1.5.1 商業智能與數據分析 ····························································.11
1.5.2 科學研究與數據挖掘 ····························································.11
1.5.3 健康醫療 ···········································································.12
1.5.4 金融行業 ···········································································.12
1.5.5 政府與社會管理 ··································································.13
1.6 本章小結 ····················································································.14
習題 ·································································································.15
第 2 章 數據可視化基礎··················································································.16
2.1 視覺通道 ····················································································.16
數據可視化技術與應用
2.1.1 視覺通道的原理 ··································································.16
2.1.2 視覺通道的類型 ··································································.17
2.2 數據可視化流程 ···········································································.19
2.2.1 數據可視化流程簡介 ····························································.20
2.2.2 數據可視化流程的實施步驟 ···················································.21
2.3 數據可視化的設計原則與技巧 ·························································.23
2.3.1 數據可視化設計原則概述 ······················································.23
2.3.2 數據可視化設計原則的實施 ···················································.24
2.3.3 數據可視化設計技巧 ····························································.25
2.4 本章小結 ····················································································.29
習題 ·································································································.29
第 3 章 數據可視化工具··················································································.32
3.1 Excel··························································································.32
3.1.1 Excel 簡介··········································································.32
3.1.2 Excel 數據可視化實例···························································.32
3.2 Power BI ·····················································································.37
3.2.1 Power BI 簡介 ·····································································.38
3.2.2 Power BI 安裝 ·····································································.38
3.2.3 Power BI 數據導入 ·······························································.40
3.2.4 Power BI 數據可視化實例······················································.41
3.3 Tableau ·······················································································.45
3.3.1 Tableau 簡介 ·······································································.45
3.3.2 Tableau 安裝 ·······································································.46
3.3.3 Tableau 數據導入·································································.47
3.3.4 Tableau 數據可視化實例························································.49
3.4 Python ························································································.51
3.4.1 Python 簡介········································································.51
3.4.2 Python 安裝········································································.52
3.4.3 常用 Python 可視化庫概述 ·····················································.53
3.4.4 Python 數據實例··································································.55
3.5 本章小結 ····················································································.62
習題 ·································································································.62
第 4 章 數據可視化方法··················································································.63
4.1 時間數據可視化 ···········································································.63
4.1.1 折線圖 ··············································································.63
4.1.2 甘特圖 ··············································································.65
4.1.3 日歷視圖 ···········································································.67
4.1.4 主題河流圖 ········································································.70
4.2 比例數據可視化 ···········································································.72
4.2.1 餅圖/環形圖 ·······································································.72
4.2.2 堆疊柱形圖 ········································································.74
4.2.3 箱線圖 ··············································································.76
4.3 層次數據可視化 ···········································································.78
4.3.1 樹狀圖 ··············································································.79
4.3.2 旭日圖 ··············································································.81
4.3.3 和弦圖 ··············································································.84
4.4 文本數據可視化 ···········································································.87
4.5 網絡數據可視化 ···········································································.89
4.5.1 網絡圖 ··············································································.89
4.5.2 桑基圖 ··············································································.91
4.5.3 雷達圖 ··············································································.94
4.6 本章小結 ····················································································.96
習題 ·································································································.99
第 5 章 大模型數據可視化···············································································101
5.1 大模型數據可視化概述 ··································································101
5.1.1 大模型數據可視化的意義與挑戰 ·············································101
5.1.2 大模型的發展歷程 ·······························································102
5.1.3 常見的數據可視化大模型 ······················································104
5.2 基於大模型的數據可視化 ·······························································107
5.2.1 數據分析 ···········································································107
5.2.2 數據可視化圖表自動生成 ·····················································.111
5.2.3 可視化大屏自動生成 ····························································115
5.3 大模型數據可視化應用 ··································································116
5.3.1 金融行業:風險監控與市場分析 ·············································116
5.3.2 醫療行業:患者數據與疾病研究 ·············································117
5.3.3 電商行業:銷售分析與用戶行為洞察 ·······································118
5.3.4 教育行業:學生學習情況與教學評估 ·······································118
5.4 本章小結 ····················································································119
習題 ·································································································120
第 6 章 數據挖掘與可視化···············································································121
6.1 數據挖掘的概念 ···········································································121
6.1.1 數據挖掘的定義與流程 ·························································121
6.1.2 常見的數據挖掘算法 ····························································123
6.2 數據挖掘結果的可視化 ··································································139
6.2.1 分類結果的可視化展示 ·························································140
6.2.2 聚類結果的可視化分析 ·························································141
6.2.3 關聯規則的可視化分析 ·························································143
6.3 數據挖掘與可視化的應用案例 ·························································144
6.3.1 客戶細分與行為分析的可視化案例 ··········································144
6.3.2 購物籃分析與購物習慣挖掘的可視化案例 ·································147
6.3.3 網絡事件安全檢測與響應的可視化案例 ····································151
6.4 本章小結 ····················································································157
習題 ·································································································158
第 7 章 數據可視化行業應用············································································160
7.1 智慧城市數據分析與可視化 ····························································160
7.1.1 智慧城市數據介紹 ·······························································160
7.1.2 智慧城市數據可視化分析案例 ················································161
7.2 銷售交易數據分析和可視化 ····························································168
7.2.1 銷售交易數據介紹 ·······························································168
7.2.2 銷售交易數據可視化分析實例 ················································169
7.3 醫療健康數據分析與可視化 ····························································170
7.3.1 醫療健康數據介紹 ·······························································170
7.3.2 醫療健康數據可視化分析實例 ················································171
7.4 教育數據分析與可視化 ··································································174
7.4.1 教育數據介紹 ·····································································174
7.4.2 教育數據可視化分析實例 ······················································175
7.5 本章小結 ····················································································179
習題 ·································································································179
第 8 章 數據可視化技術未來發展······································································181
8.1 發展趨勢 ····················································································181
8.1.1 AI 深度賦能 ·······································································181
8.1.2 AR/VR 沈浸式體驗 ······························································182
8.1.3 數據民主化 ········································································182
8.1.4 實時動態可視化 ··································································183
8.2 關鍵技術突破方向 ········································································183
8.2.1 高維數據可視化 ··································································183
8.2.2 企業級可視化平臺 ·······························································184
8.2.3 量子計算 ···········································································184
8.3 行業應用創新場景 ········································································185
8.3.1 金融領域 ···········································································185
8.3.2 醫療健康領域 ·····································································185
8.3.3 智能制造 ···········································································185
8.3.4 智慧城市 ···········································································185
8.4 面臨的挑戰與倫理考量 ··································································186
8.4.1 技術層面的核心挑戰 ····························································186
8.4.2 倫理與合規風險 ··································································186
8.5 本章小結 ····················································································186
習題 ·································································································187
參考文獻 ·······································································································188