{"items":[{"id":"d45509166f33ca78","name":"ECharts数据可视化：入门、实战与进阶 (王大伟) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"ECharts数据可视化：入门、实战与进阶","size_bytes":50172200,"size_label":"47.85 MB","is_large":false,"category_id":"echarts","category_label":"ECharts 与 Web 可视化","index":{"index_no":8,"section_title":"ECharts数据可视化","book_name":"ECharts数据可视化","author":"黑马程序员","publisher":"人民邮电出版社","publish_time":"2024年","isbn":"978-7-115-64750-4","intro":"","has_local_pdf":true,"local_pdf_id":"d45509166f33ca78"},"pdf_url":"https://chart.txtmo.cn/pdfs/d45509166f33ca78","reader_url":"https://chart.txtmo.cn/reader?pdf=d45509166f33ca78"},{"id":"46a86326e83d1db2","name":"Power BI数据分析与数据可视化：微课版 (左仲海责任编辑；（中国）夏帮贵, 夏帮贵主编, 夏帮贵) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"Power BI数据分析与数据可视化：微课版","size_bytes":45306802,"size_label":"43.21 MB","is_large":false,"category_id":"bi","category_label":"BI 工具与商业分析","index":{"index_no":6,"section_title":"Power BI数据分析与可视化","book_name":"Power BI数据分析与数据可视化（微课版）","author":"夏帮贵","publisher":"人民邮电出版社","publish_time":"2019年","isbn":"978-7-115-51255-0","intro":"","has_local_pdf":true,"local_pdf_id":"46a86326e83d1db2"},"pdf_url":"https://chart.txtmo.cn/pdfs/46a86326e83d1db2","reader_url":"https://chart.txtmo.cn/reader?pdf=46a86326e83d1db2"},{"id":"7cbf0728a44dfe58","name":"Python数据分析、挖掘与可视化 (董付国 编著) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"Python数据分析、挖掘与可视化","size_bytes":52825389,"size_label":"50.38 MB","is_large":true,"category_id":"python","category_label":"Python 数据分析与可视化","index":{"index_no":3,"section_title":"Python数据分析、挖掘与可视化","book_name":"Python数据分析、挖掘与可视化（慕课版，第2版）","author":"董付国","publisher":"人民邮电出版社","publish_time":"2024年（第2版）","isbn":"978-7-115-62634-9","intro":"本书面向零基础读者，系统覆盖Python从入门到数据分析、挖掘、可视化的全流程能力培养。全书共9章，分为三大部分： 基础入门部分（第1~4章）：Python开发环境搭建、数据类型/运算符/内置函数、核心数据结构（列表/元组/字典/集合/字符串）、选择与循环结构、函数定义与使用。 核心能力部分（第5~9章）：文件操作、numpy数组与矩阵运算、pandas数据分析实战、sklearn机器学习实战、matplotlib数据可视化实战，配备大","has_local_pdf":true,"local_pdf_id":"7cbf0728a44dfe58"},"pdf_url":"https://chart.txtmo.cn/pdfs/7cbf0728a44dfe58","reader_url":"https://chart.txtmo.cn/reader?pdf=7cbf0728a44dfe58"},{"id":"3720e977641e6ec4","name":"Python数据分析与可视化(第2版) (魏伟一 李晓红 高志玲) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"Python数据分析与可视化(第2版)","size_bytes":34602091,"size_label":"33.00 MB","is_large":false,"category_id":"python","category_label":"Python 数据分析与可视化","index":{"index_no":2,"section_title":"Python数据分析与数据可视化","book_name":"Python数据分析与可视化（第2版）-微课视频版","author":"魏伟一、李晓红、高志玲","publisher":"清华大学出版社","publish_time":"2021年7月（第2版）","isbn":"978-7-302-57758-4","intro":"本书从Python数据分析的基础知识入手，结合大量的数据分析示例，系统地介绍了数据分析与可视化方法。全书共13章： 1. 数据分析与可视化概述 2. Python编程基础 3. NumPy数值计算基础 4. Pandas统计分析基础 5. Pandas数据载入与预处理 6. Matplotlib数据可视化基础 7. Seaborn可视化 8. pyecharts可视化 9. 时间序列数据分析 10. SciPy科学计算 11. 统计与机","has_local_pdf":true,"local_pdf_id":"3720e977641e6ec4"},"pdf_url":"https://chart.txtmo.cn/pdfs/3720e977641e6ec4","reader_url":"https://chart.txtmo.cn/reader?pdf=3720e977641e6ec4"},{"id":"2850d7d5d8012301","name":"Python数据可视化之Matplotlib与Pyecharts实战 (王国平 编著) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"Python数据可视化之Matplotlib与Pyecharts实战","size_bytes":61716263,"size_label":"58.86 MB","is_large":true,"category_id":"python","category_label":"Python 数据分析与可视化","index":{"index_no":7,"section_title":"Python数据可视化之Matplotlib与Pyecharts实战","book_name":"Python数据可视化之Matplotlib与Pyecharts实战","author":"王国平","publisher":"","publish_time":"2023年","isbn":"978-7-115-57892-1","intro":"全书共8章，分为基础模块和实战模块： 基础模块（第1~5章）：Python数据可视化概述、数据的读取与处理、Matplotlib数据可视化基础、用Seaborn绘制进阶图形、pyecharts交互式图形绘制。 实战模块（第6~8章）：通过真实企业数据案例，演示数据可视化在行业中的完整应用流程。","has_local_pdf":true,"local_pdf_id":"2850d7d5d8012301"},"pdf_url":"https://chart.txtmo.cn/pdfs/2850d7d5d8012301","reader_url":"https://chart.txtmo.cn/reader?pdf=2850d7d5d8012301"},{"id":"fafc2a4bdfbe4bed","name":"Python数据可视化编程实战 第2版 (伊戈尔·米洛瓦诺维奇 迪米特里·富雷斯 朱塞佩·韦蒂格利 颛清山) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"Python数据可视化编程实战 第2版","size_bytes":3355791,"size_label":"3.20 MB","is_large":false,"category_id":"python","category_label":"Python 数据分析与可视化","index":{"index_no":1,"section_title":"Python数据可视化编程实战 第2版","book_name":"Python数据可视化编程实战 第2版","author":"伊戈尔·米洛瓦诺维奇 迪米特里·富雷斯 朱塞佩·韦蒂格利 颛清山","publisher":"","publish_time":"","isbn":"978-7-121-35727-5","intro":"全书共有15章，分为4篇，从研究者的角度介绍数据可视化的定义、方法、效用和工具： 基础篇（第1-3章）：阐述数据可视化的基础理论和概念，从人的感知和认知出发，介绍数据模型和可视化基础。 时空数据篇（第4-6章）：介绍带有空间坐标或时间信息的数据的可视化方法，此类数据通过设备在真实物理空间采集得到或由科学计算模拟产生。 非时空数据篇（第7-12章）：描述非结构化和非几何的抽象数据的可视化，这些数据既存在于真实物理空间，也是社会空间和网络信","has_local_pdf":true,"local_pdf_id":"fafc2a4bdfbe4bed"},"pdf_url":"https://chart.txtmo.cn/pdfs/fafc2a4bdfbe4bed","reader_url":"https://chart.txtmo.cn/reader?pdf=fafc2a4bdfbe4bed"},{"id":"a4ac95abf73c7b8b","name":"大数据可视化技术与应用 (微课视频版) (黄源,蒋文豪,徐受蓉) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"大数据可视化技术与应用 (微课视频版)","size_bytes":43422924,"size_label":"41.41 MB","is_large":false,"category_id":"bigdata","category_label":"大数据可视化","index":{"index_no":4,"section_title":"大数据可视化技术与应用","book_name":"大数据可视化技术与应用","author":"黄源,蒋文豪,徐受蓉","publisher":"","publish_time":"","isbn":"978-7-302-63950-3","intro":"","has_local_pdf":true,"local_pdf_id":"a4ac95abf73c7b8b"},"pdf_url":"https://chart.txtmo.cn/pdfs/a4ac95abf73c7b8b","reader_url":"https://chart.txtmo.cn/reader?pdf=a4ac95abf73c7b8b"},{"id":"ee148c9df2abdeef","name":"数据可视化分析 Tableau原理与实践 (喜乐君) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"数据可视化分析 Tableau原理与实践","size_bytes":90315076,"size_label":"86.13 MB","is_large":true,"category_id":"bi","category_label":"BI 工具与商业分析","index":{"index_no":9,"section_title":"Tableau数据分析与可视化（微课版）","book_name":"Tableau数据分析与可视化（微课版）","author":"王国平","publisher":"人民邮电出版社","publish_time":"2020年12月（2021年1月）","isbn":"978-7-115-45327-3","intro":"全书共11章，以Tableau Desktop桌面软件为主线，内容如下： 基础入门（第1~4章）：Tableau数据可视化概述、连接数据源、基础操作、高级操作（表计算/参数/函数等）。 可视化实操（第5~7章）：条形图、饼图、折线图、树状图、散点图、箱形图等视图；相关分析、回归分析、聚类分析、时间序列分析；地理数据可视化；仪表板和故事的创建、美化与共享。 进阶应用：Tableau连接Hadoop、性能优化、在线服务器注册配置、用户与项目","has_local_pdf":true,"local_pdf_id":"ee148c9df2abdeef"},"pdf_url":"https://chart.txtmo.cn/pdfs/ee148c9df2abdeef","reader_url":"https://chart.txtmo.cn/reader?pdf=ee148c9df2abdeef"},{"id":"f8633be7af7f884f","name":"数据可视化原理与实例 (李春芳, 石民勇) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"数据可视化原理与实例","size_bytes":37474582,"size_label":"35.74 MB","is_large":false,"category_id":"general","category_label":"综合教材与方法论","index":{"index_no":5,"section_title":"数据可视化原理与实例","book_name":"数据可视化原理与实例","author":"李春芳, 石民勇","publisher":"","publish_time":"","isbn":"978-7-302-67875-5","intro":"全书分为两篇： 原理篇：从数据可视化发展历程、可视化数据的度量和组件、可视化流程等方面讲解基础理论；针对时空数据、地理信息数据、文本数据、层次数据等不同类型介绍相应的可视化方法。 应用篇：着重介绍ECharts的综合应用与Python可视化应用，最后一章讲解ECharts在微信公众号舆情系统中的完整可视化实例。","has_local_pdf":true,"local_pdf_id":"f8633be7af7f884f"},"pdf_url":"https://chart.txtmo.cn/pdfs/f8633be7af7f884f","reader_url":"https://chart.txtmo.cn/reader?pdf=f8633be7af7f884f"},{"id":"28dd7a3227d855a7","name":"用数据讲故事—专业图表实训教程 ([美]科尔·努斯鲍默·纳福利克（ColeNussbaumerKnaflic）) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"用数据讲故事—专业图表实训教程","size_bytes":41285772,"size_label":"39.37 MB","is_large":false,"category_id":"story","category_label":"图表表达与数据叙事","index":{"index_no":10,"section_title":"用数据讲故事：专业图表实训教程","book_name":"用数据讲故事——专业图表实训教程","author":"[美] 科尔·努斯鲍默·纳福利克（Cole Nussbaumer Knaflic）","publisher":"人民邮电出版社（图灵教育出品）","publish_time":"2023年3月","isbn":"978-7-115-60804-8","intro":"本书是广受读者欢迎的《用数据讲故事》的配套实训教程，旨在帮助读者在实践场景中应用数据可视化技能，从而成为一个真正善于用数据讲故事的沟通高手。全书通过大量练习题和真实案例，引导读者理解如何充分理解上下文、选择合适的图表、消除杂乱、聚焦受众视线、像设计师一样思考和设计数据图表。","has_local_pdf":true,"local_pdf_id":"28dd7a3227d855a7"},"pdf_url":"https://chart.txtmo.cn/pdfs/28dd7a3227d855a7","reader_url":"https://chart.txtmo.cn/reader?pdf=28dd7a3227d855a7"}],"categories":[{"id":"python","label":"Python 数据分析与可视化","count":4},{"id":"echarts","label":"ECharts 与 Web 可视化","count":1},{"id":"bi","label":"BI 工具与商业分析","count":2},{"id":"bigdata","label":"大数据可视化","count":1},{"id":"story","label":"图表表达与数据叙事","count":1},{"id":"general","label":"综合教材与方法论","count":1}],"summary":{"count":10,"total_bytes":460476890,"total_label":"439.14 MB","large_count":3,"largest":{"id":"ee148c9df2abdeef","name":"数据可视化分析 Tableau原理与实践 (喜乐君) (z-library.sk, 1lib.sk, z-lib.sk).pdf","title":"数据可视化分析 Tableau原理与实践","size_bytes":90315076,"size_label":"86.13 MB","is_large":true,"category_id":"bi","category_label":"BI 工具与商业分析","index":{"index_no":9,"section_title":"Tableau数据分析与可视化（微课版）","book_name":"Tableau数据分析与可视化（微课版）","author":"王国平","publisher":"人民邮电出版社","publish_time":"2020年12月（2021年1月）","isbn":"978-7-115-45327-3","intro":"全书共11章，以Tableau Desktop桌面软件为主线，内容如下： 基础入门（第1~4章）：Tableau数据可视化概述、连接数据源、基础操作、高级操作（表计算/参数/函数等）。 可视化实操（第5~7章）：条形图、饼图、折线图、树状图、散点图、箱形图等视图；相关分析、回归分析、聚类分析、时间序列分析；地理数据可视化；仪表板和故事的创建、美化与共享。 进阶应用：Tableau连接Hadoop、性能优化、在线服务器注册配置、用户与项目","has_local_pdf":true,"local_pdf_id":"ee148c9df2abdeef"}},"categories":[{"id":"python","label":"Python 数据分析与可视化","count":4},{"id":"echarts","label":"ECharts 与 Web 可视化","count":1},{"id":"bi","label":"BI 工具与商业分析","count":2},{"id":"bigdata","label":"大数据可视化","count":1},{"id":"story","label":"图表表达与数据叙事","count":1},{"id":"general","label":"综合教材与方法论","count":1}],"indexed_count":10},"index_entries":[{"index_no":1,"section_title":"Python数据可视化编程实战 第2版","book_name":"Python数据可视化编程实战 第2版","author":"伊戈尔·米洛瓦诺维奇 迪米特里·富雷斯 朱塞佩·韦蒂格利 颛清山","publisher":"","publish_time":"","isbn":"978-7-121-35727-5","intro":"全书共有15章，分为4篇，从研究者的角度介绍数据可视化的定义、方法、效用和工具： 基础篇（第1-3章）：阐述数据可视化的基础理论和概念，从人的感知和认知出发，介绍数据模型和可视化基础。 时空数据篇（第4-6章）：介绍带有空间坐标或时间信息的数据的可视化方法，此类数据通过设备在真实物理空间采集得到或由科学计算模拟产生。 非时空数据篇（第7-12章）：描述非结构化和非几何的抽象数据的可视化，这些数据既存在于真实物理空间，也是社会空间和网络信","has_local_pdf":true,"local_pdf_id":"fafc2a4bdfbe4bed","reader_url":"/reader?pdf=fafc2a4bdfbe4bed","pdf_url":"/pdfs/fafc2a4bdfbe4bed","size_label":"3.20 MB","title":"Python数据可视化编程实战 第2版"},{"index_no":2,"section_title":"Python数据分析与数据可视化","book_name":"Python数据分析与可视化（第2版）-微课视频版","author":"魏伟一、李晓红、高志玲","publisher":"清华大学出版社","publish_time":"2021年7月（第2版）","isbn":"978-7-302-57758-4","intro":"本书从Python数据分析的基础知识入手，结合大量的数据分析示例，系统地介绍了数据分析与可视化方法。全书共13章： 1. 数据分析与可视化概述 2. Python编程基础 3. NumPy数值计算基础 4. Pandas统计分析基础 5. Pandas数据载入与预处理 6. Matplotlib数据可视化基础 7. Seaborn可视化 8. pyecharts可视化 9. 时间序列数据分析 10. SciPy科学计算 11. 统计与机","has_local_pdf":true,"local_pdf_id":"3720e977641e6ec4","reader_url":"/reader?pdf=3720e977641e6ec4","pdf_url":"/pdfs/3720e977641e6ec4","size_label":"33.00 MB","title":"Python数据分析与可视化(第2版)"},{"index_no":3,"section_title":"Python数据分析、挖掘与可视化","book_name":"Python数据分析、挖掘与可视化（慕课版，第2版）","author":"董付国","publisher":"人民邮电出版社","publish_time":"2024年（第2版）","isbn":"978-7-115-62634-9","intro":"本书面向零基础读者，系统覆盖Python从入门到数据分析、挖掘、可视化的全流程能力培养。全书共9章，分为三大部分： 基础入门部分（第1~4章）：Python开发环境搭建、数据类型/运算符/内置函数、核心数据结构（列表/元组/字典/集合/字符串）、选择与循环结构、函数定义与使用。 核心能力部分（第5~9章）：文件操作、numpy数组与矩阵运算、pandas数据分析实战、sklearn机器学习实战、matplotlib数据可视化实战，配备大","has_local_pdf":true,"local_pdf_id":"7cbf0728a44dfe58","reader_url":"/reader?pdf=7cbf0728a44dfe58","pdf_url":"/pdfs/7cbf0728a44dfe58","size_label":"50.38 MB","title":"Python数据分析、挖掘与可视化"},{"index_no":4,"section_title":"大数据可视化技术与应用","book_name":"大数据可视化技术与应用","author":"黄源,蒋文豪,徐受蓉","publisher":"","publish_time":"","isbn":"978-7-302-63950-3","intro":"","has_local_pdf":true,"local_pdf_id":"a4ac95abf73c7b8b","reader_url":"/reader?pdf=a4ac95abf73c7b8b","pdf_url":"/pdfs/a4ac95abf73c7b8b","size_label":"41.41 MB","title":"大数据可视化技术与应用 (微课视频版)"},{"index_no":5,"section_title":"数据可视化原理与实例","book_name":"数据可视化原理与实例","author":"李春芳, 石民勇","publisher":"","publish_time":"","isbn":"978-7-302-67875-5","intro":"全书分为两篇： 原理篇：从数据可视化发展历程、可视化数据的度量和组件、可视化流程等方面讲解基础理论；针对时空数据、地理信息数据、文本数据、层次数据等不同类型介绍相应的可视化方法。 应用篇：着重介绍ECharts的综合应用与Python可视化应用，最后一章讲解ECharts在微信公众号舆情系统中的完整可视化实例。","has_local_pdf":true,"local_pdf_id":"f8633be7af7f884f","reader_url":"/reader?pdf=f8633be7af7f884f","pdf_url":"/pdfs/f8633be7af7f884f","size_label":"35.74 MB","title":"数据可视化原理与实例"},{"index_no":6,"section_title":"Power BI数据分析与可视化","book_name":"Power BI数据分析与数据可视化（微课版）","author":"夏帮贵","publisher":"人民邮电出版社","publish_time":"2019年","isbn":"978-7-115-51255-0","intro":"","has_local_pdf":true,"local_pdf_id":"46a86326e83d1db2","reader_url":"/reader?pdf=46a86326e83d1db2","pdf_url":"/pdfs/46a86326e83d1db2","size_label":"43.21 MB","title":"Power BI数据分析与数据可视化：微课版"},{"index_no":7,"section_title":"Python数据可视化之Matplotlib与Pyecharts实战","book_name":"Python数据可视化之Matplotlib与Pyecharts实战","author":"王国平","publisher":"","publish_time":"2023年","isbn":"978-7-115-57892-1","intro":"全书共8章，分为基础模块和实战模块： 基础模块（第1~5章）：Python数据可视化概述、数据的读取与处理、Matplotlib数据可视化基础、用Seaborn绘制进阶图形、pyecharts交互式图形绘制。 实战模块（第6~8章）：通过真实企业数据案例，演示数据可视化在行业中的完整应用流程。","has_local_pdf":true,"local_pdf_id":"2850d7d5d8012301","reader_url":"/reader?pdf=2850d7d5d8012301","pdf_url":"/pdfs/2850d7d5d8012301","size_label":"58.86 MB","title":"Python数据可视化之Matplotlib与Pyecharts实战"},{"index_no":8,"section_title":"ECharts数据可视化","book_name":"ECharts数据可视化","author":"黑马程序员","publisher":"人民邮电出版社","publish_time":"2024年","isbn":"978-7-115-64750-4","intro":"","has_local_pdf":true,"local_pdf_id":"d45509166f33ca78","reader_url":"/reader?pdf=d45509166f33ca78","pdf_url":"/pdfs/d45509166f33ca78","size_label":"47.85 MB","title":"ECharts数据可视化：入门、实战与进阶"},{"index_no":9,"section_title":"Tableau数据分析与可视化（微课版）","book_name":"Tableau数据分析与可视化（微课版）","author":"王国平","publisher":"人民邮电出版社","publish_time":"2020年12月（2021年1月）","isbn":"978-7-115-45327-3","intro":"全书共11章，以Tableau Desktop桌面软件为主线，内容如下： 基础入门（第1~4章）：Tableau数据可视化概述、连接数据源、基础操作、高级操作（表计算/参数/函数等）。 可视化实操（第5~7章）：条形图、饼图、折线图、树状图、散点图、箱形图等视图；相关分析、回归分析、聚类分析、时间序列分析；地理数据可视化；仪表板和故事的创建、美化与共享。 进阶应用：Tableau连接Hadoop、性能优化、在线服务器注册配置、用户与项目","has_local_pdf":true,"local_pdf_id":"ee148c9df2abdeef","reader_url":"/reader?pdf=ee148c9df2abdeef","pdf_url":"/pdfs/ee148c9df2abdeef","size_label":"86.13 MB","title":"数据可视化分析 Tableau原理与实践"},{"index_no":10,"section_title":"用数据讲故事：专业图表实训教程","book_name":"用数据讲故事——专业图表实训教程","author":"[美] 科尔·努斯鲍默·纳福利克（Cole Nussbaumer Knaflic）","publisher":"人民邮电出版社（图灵教育出品）","publish_time":"2023年3月","isbn":"978-7-115-60804-8","intro":"本书是广受读者欢迎的《用数据讲故事》的配套实训教程，旨在帮助读者在实践场景中应用数据可视化技能，从而成为一个真正善于用数据讲故事的沟通高手。全书通过大量练习题和真实案例，引导读者理解如何充分理解上下文、选择合适的图表、消除杂乱、聚焦受众视线、像设计师一样思考和设计数据图表。","has_local_pdf":true,"local_pdf_id":"28dd7a3227d855a7","reader_url":"/reader?pdf=28dd7a3227d855a7","pdf_url":"/pdfs/28dd7a3227d855a7","size_label":"39.37 MB","title":"用数据讲故事—专业图表实训教程"}]}