JDK的可视化分享(第15期) 20191031

本文集合了2019年上半年的数据可视化发展亮点,包括最佳数据展示、元素周期表解析、气候变化可视化、性别不平等报道测量、全球卫星影像等。同时介绍了多种数据可视化工具和资源,以及数据故事讲述的方法论。

一、可视化

  • 10 significant visualisation developments: January to June 2019 - Visualising Data    2019上半年最佳合集

https://www.visualisingdata.com/2019/08/10-significant-visualisation-developments-january-to-june-2019/

To mark each mid-year and end of year milestone I try to take a reflective glance over the previous 6 months period in the data visualisation field and compile a collection of some of the most significant developments. These are the main projects, events, new sites, trends, personalities and general observations that have struck me as being important to help further the development of this field.

  • The Periodic Table of Elements Issue     关于元素周期表的文章合集

https://www.bloomberg.com/features/2019-periodic-table-elements-issue/#cobalt-nickel-copper-zinc

Matter still matters. On the 150th anniversary of the periodic table, we cover every element.

  • Why the Periodic Table of Elements Is More Important Than Ever    为什么元素周期表越来越重要

https://www.bloomberg.com/news/features/2019-08-28/the-modern-triumph-of-the-periodic-table-of-elements

Mendeleev’s 150-year-old periodic table has become the menu for a world hungry for material benefits.

 

 

  • Pixelation to represent endangered species counts     像素的多少表示物种的显存数量,图像越模糊越濒危。

https://flowingdata.com/2019/09/30/pixelation-to-represent-endangered-species-counts/

In 2008, the World Wildlife Fund ran a campaign that used pixelation to represent the number of animals left for endangered species. One pixel represents an animal, so an image appears more pixelat…

 

  • How Much Hotter Is Your Hometown Than When You Were Born?   你住的地方比过去热吗?

https://www.nytimes.com/interactive/2018/08/30/climate/how-much-hotter-is-your-hometown.html

See how days at or above 90 degrees Fahrenheit have changed in your lifetime and how much hotter it could get.

 

  • Measuring gender imbalances in reporting on the creative industries      描述性别不平等,设计不错

 

https://data-viz.nesta.org.uk/measuring-gender-imbalances-reporting-creative-industries/index.html

Percentage of quotes by men and women e explains, he tells, he adds, he recalls, he laughs, he admits, he explained, he sings, he replies, he continues, he has, he asks, he replied, he once, he was, he continued, he insists, he is, he sighs, he remembers, he smiles, he recalled, he asked, he had, he tweeted, he would, he concludes, he shrugs, he declares, he argues, he notes, he grins, he muses, he later, he points, he concedes, he joked, he declared, he admitted, he suggests, he chuckles, he begins, he announces, he jokes, he agrees, he concluded, he began, he claims, he reflects, he observes, he goes, he insisted, he offers, he exclaims, he noted, he confesses, he warns, he enthuses, he will, he nods, he quipped, he went, he complains, he announced, he cries, he shouts, he suggested, he answers, he protests, he thinks, he deadpans, he warned, he sang, he claimed, he observed, he mutters, he complained, he argued, he beams, he remarked, he states, he calls, he snaps, he quips, he whispers, he sighed, he decides, he cried, he recently, he called, he reveals, he drawls, he pauses, he remarks

 

  • Imaging the entire Earth, every day        非常生动的卫星扫描地球拍照的可视化

https://nbremer.github.io/planet-globe/

See how the Earth is slowly build up from each of the 600,000 satellite images taken by Planet's satellites in a single day

 

  • If We All Left to “Go Back Where We Came From”   美国人种分布

https://flowingdata.com/2018/05/16/go-back-where-you-came-from/

Imagine that those with immigrants in their family tree left the country. Almost everyone, basically.

 

  • What Does Big Tech Know About You? Basically Everything — Cool Infographics     科技公司知道我们多少隐私?

https://coolinfographics.com/blog/2019/10/4/what-does-big-tech-know-about-you-basically-everything

Big tech companies have been spying on us for years. This knowledge isn’t new information, but what could be surprising is exactly to what extent each company does it. Security Baron categories what data six of the biggest tech companies collect from you in The Data Big Companies Have On You inf

 

 

  • The Museum of Atari, Mario and Electric Childhood Dreams | CNA Lifestyle      红白机游戏

https://infographics.channelnewsasia.com/interactive/cnalifestyle/video-game-museum/index.html

CNA Lifestyle looks at Singapore’s only video game museum, the James Cook University Museum Of Video And Computer Games. We also highlight some of the best movies based on video games as well as a present a timeline of the history of video gaming from the 1970s to the present.


 

 

  • China Internet Report            中国互联网报告

https://www.scmp.com/china-internet-report

100+ page report about China's rapidly evolving tech industy.

 

  • In Space We Trust            苏联航空史

http://inspacewetrust.org/en/

Art project is dedicated to the most important events in the history of space exploration: first spacecraft, flights to other planets and landings on celestial bodies. Supported by Roscosmos.

 

二、工具

 

  • new year, new tools! — storytelling with data    工具合集

http://www.storytellingwithdata.com/blog/2019/1/24/new-year-new-tools

We saw a wide variety of tools used in the first challenge of 2019: from the familiar to new players on the market and from drag & drop GUI solutions to programming languages. Read on to see the wide array of instruments available for visualizing data and learn from others as they attempt th

 

  • School diversity visualized with moving bubbles    REGL.js的示例,10000点的流畅动画。

https://flowingdata.com/2019/09/16/school-diversity-visualized-with-moving-bubbles/

The Washington Post visualized 13,000 school districts to show the change in diversity between 1995 and 2017. Each bubble represents a district and the size represents number of students. The bubbl…

 

  • pshihn/rough      粗糙手绘风格图表库

https://github.com/pshihn/rough/

Create graphics with a hand-drawn, sketchy, appearance - pshihn/rough

  • timqian/chart.xkcd   另一个粗糙手绘风格图表库

https://github.com/timqian/chart.xkcd

xkcd styled chart lib. Contribute to timqian/chart.xkcd development by creating an account on GitHub.

 

  • pagemap · mini map for web pages · larsjung.de      类似于sublime右侧的网页缩略图工具

https://larsjung.de/pagemap/

mini map for web pages

 

 

  • Minify Your SVGs - victorzhou.com     svg压缩

 

https://victorzhou.com/blog/minify-svgs/

How I optimize SVGs for this blog and why you probably should, too.

 

  • Zdog · Round, flat, designer-friendly pseudo-3D engine for canvas and SVG      简易的伪3D工具

https://zzz.dog/

Round, flat, designer-friendly pseudo-3D engine for canvas and SVG

  • Photographs from above, an Overview      卫星地图overview,很漂亮

https://flowingdata.com/2019/10/23/photographs-from-above-an-overview/

Overview is an ongoing project that uses a zoomed out view for a new perspective on the world: Seeing the Earth from a great distance has been proven to stimulate awe, increase desire to collaborat…

 

三、资源,教程

  • Nightingale – Medium       可能是最高质量的可视化社区文集

https://medium.com/nightingale

 

The Journal of the Data Visualization Society.

 

  • Creating a WebGL Earth with three.js     一步步创建一个漂亮的3D地球

http://blog.mastermaps.com/2013/09/creating-webgl-earth-with-threejs.html

This blog post will show you how to create a WebGL Earth with three.js , a great JavaScript library which helps you to go 3D in the browser...

 

四、方法论

  • 14种data story 模式

https://twitter.com/maartenzam/status/1142065792835563520

 

  • 关系网络 | 文献泛读之3:设计更好理解的可视化

https://mp.weixin.qq.com/s/pACWavwMDUCfhk9zSUOCRA

我们需要去反复考量目前的可视化设计是否能够让使用者理解、是否有效

 

五、思考与其他

 

  • The days are long but the decades are short

https://blog.samaltman.com/the-days-are-long-but-the-decades-are-short

I turned 30 last week and a friend asked me if I'd figured out any life advice in the past decade worth passing on. I'm somewhat hesitant to publish this because I think these lists usually seem...

 

  • 什么是真正的程序员? - 削微寒 - 博客园

https://www.cnblogs.com/xueweihan/p/5220513.html

什么是真正的程序员 这篇文章的原文来自: "A Little Printf Story" 作者仿照《小王子》中的情节,通过小printf遇见的不同类型的程序员,最后悟出什么才是真正

 

  • Mental Models I Find Repeatedly Useful

https://medium.com/@yegg/mental-models-i-find-repeatedly-useful-936f1cc405d

2019 UPDATE: Since this post came out, I co-authored a book about it called Super Thinking: The Big Book of Mental Models. You can order it…

 

 

 

<think>好的,用户想下载用于Java数据可视化大屏的开源项目源码,并且希望是在Github或Gitee上的。我需要先理解他的具体需求,然后帮他找到合适的资源。 首先,用户提到的引用中有两个链接,引用[1]提到了gitee.com/anji-plus/report和gitee.com/52itstyle/visual-large-screen,这两个可能是现成的项目。需要检查这些项目是否还在维护,是否适合Java数据可视化大屏的需求。 然后,用户可能希望找到更多的类似项目,所以应该提供其他推荐的开源项目,比如JEECG、DataX和大屏设计器。这些项目是否有活跃的社区、文档是否齐全、是否容易部署都是需要考虑的因素。 接下来,下载步骤需要详细说明,包括访问平台、搜索关键词、选择项目、克隆或下载。用户可能不太熟悉Git或者Maven,所以需要给出具体的命令示例,比如git clone和Maven构建指令。 另外,注意事项部分要提醒用户检查文档、依赖和许可协议,这有助于他们避免常见的坑,比如环境配置问题或者许可证限制。 最后,生成的相关问题要覆盖用户可能进一步的需求,比如项目推荐、部署教程、技术选型比较以及二次开发指导,这样用户可以在一个地方找到更多相关信息,减少再次提问的需要。 需要确保回答结构清晰,分步骤说明,并且引用正确的来源。同时,语言要简洁明了,避免使用技术术语过多,让用户容易理解。</think>### 关于Java数据可视化大屏开源项目下载的解答 #### 1. 推荐的开源项目 根据站内引用和Java技术生态,以下项目支持数据可视化大屏且提供源码下载: - **Anji-Plus Report** 功能:企业级Web报表工具,支持大屏设计、图表联动。 下载地址:`gitee.com/anji-plus/report`[^1] 技术栈:SpringBoot + Vue.js - **Visual-Large-Screen** 功能:基于ECharts的可视化模板库,含3D地图、实时监控模板。 下载地址:`gitee.com/52itstyle/visual-large-screen`[^1] 技术栈:Java + Layui - **JEECG大屏模块** 特点:低代码开发框架内的大屏组件,支持拖拽布局。 代码仓库:GitHub搜索 `JEECG data visualization` #### 2. 下载步骤 1. **访问代码平台** - Gitee:https://gitee.com - GitHub:https://github.com 2. **搜索关键词** 输入组合关键词: ```bash "数据可视化大屏" "java" site:gitee.com "data visualization dashboard" "java" site:github.com ``` 3. **项目筛选标准** - 查看项目的 `README.md` 是否含部署文档 - 检查最近更新时间(建议选择近1年有更新的项目) - 确认技术栈是否匹配(如SpringBoot/Hadoop等) 4. **克隆代码** ```bash git clone https://gitee.com/anji-plus/report.git # Gitee项目 git clone https://github.com/{username}/{repo}.git # GitHub项目 ``` #### 3. 项目部署注意事项 - 依赖环境:JDK 1.8+、MySQL 5.7+、Maven 3.6+ - 典型报错处理: ```xml <!-- 解决Lombok依赖问题 --> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <version>1.18.24</version> <scope>provided</scope> </dependency> ``` #### 4. 可视化组件扩展 部分项目集成了第三方图表库,可参考引用[3]中的图层加载方式: ```javascript // 类似L7.PointLayer的数据加载逻辑 pointLayer.source(data) .shape('weather') .size(15); scene.addLayer(layer); // 添加到场景[^3] ```
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