dj2017
所属分类:大数据
开发工具:JavaScript
文件大小:38534KB
下载次数:0
上传日期:2019-01-28 07:40:34
上 传 者:
sh-1993
说明: 南京大学《数据新闻》2017 周一 第3-4节 逸B-210 1-18周
(Data News, Nanjing University, Monday, 2017, Section 3-4, YiB-210, Week 1-18)
文件列表:
dj2017-gh-pages (0, 2019-01-28)
dj2017-gh-pages\code (0, 2019-01-28)
dj2017-gh-pages\code\.Rhistory (6822, 2019-01-28)
dj2017-gh-pages\code\.ipynb_checkpoints (0, 2019-01-28)
dj2017-gh-pages\code\.ipynb_checkpoints\Week 8 statistics basics-checkpoint.ipynb (218197, 2019-01-28)
dj2017-gh-pages\code\.ipynb_checkpoints\dataCleaningWithPython-checkpoint.ipynb (211456, 2019-01-28)
dj2017-gh-pages\code\.ipynb_checkpoints\groups-checkpoint.ipynb (7605, 2019-01-28)
dj2017-gh-pages\code\.ipynb_checkpoints\vincent_visualization-checkpoint.ipynb (215761, 2019-01-28)
dj2017-gh-pages\code\Bubbling charts.html (8523, 2019-01-28)
dj2017-gh-pages\code\Week 8 statistics basics.ipynb (218197, 2019-01-28)
dj2017-gh-pages\code\data.json (13643, 2019-01-28)
dj2017-gh-pages\code\dataCleaningWithPython.ipynb (115825, 2019-01-28)
dj2017-gh-pages\code\dynamic (0, 2019-01-28)
dj2017-gh-pages\code\dynamic\data.json (13643, 2019-01-28)
dj2017-gh-pages\code\dynamic\echarts.min.js (442937, 2019-01-28)
dj2017-gh-pages\code\dynamic\index.html (8450, 2019-01-28)
dj2017-gh-pages\code\dynamic\jquery.min.js (85630, 2019-01-28)
dj2017-gh-pages\code\example_3_6_interactive_zoog.pde (1052, 2019-01-28)
dj2017-gh-pages\code\gdp.txt (90, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive.html (38680, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files (0, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\bootstrap.min.css (113498, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\bootstrap.min.js (35601, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\d3.min.js (150762, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\ggvis.css (2380, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\ggvis.js (31892, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\html5shiv.min.js (2722, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\ion.rangeSlider.css (3406, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\ion.rangeSlider.min.js (35544, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\ion.rangeSlider.skinShiny.css (2793, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\jquery-ui.min.css (16797, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\jquery-ui.min.js (31450, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\jquery.min.js (96381, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\jquery.resize.js (5836, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\json2-min.js (2991, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\lodash.min.js (26896, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\respond.min.js (4463, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\shiny-ggvis.js (13675, 2019-01-28)
dj2017-gh-pages\code\ggvis_interactive_files\shiny.css (4317, 2019-01-28)
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# 《数据新闻》2017课程
南京大学新闻传播学院数据新闻2017课程
傻瓜式静态网站制作 https://mobirise.com/
# Final Projects
| Group | Title |
| ------------- |:-------------:|
|周嘉珺 王馨桐 任欢欣|[走出去与走回来 — 中国留学生去向情况调查](https://github.com/data-journalism/dj2017/blob/master/./group/zrw/index.html)|
|陈必欣 陈景玥 彭书慧|[全国幼儿园哪里最好?——我国各省学前教育水平状况调查](https://github.com/data-journalism/dj2017/blob/master/./group/lxz/index.html)|
|朱清华 彭雅琦 | [媒体报道中的高学历女性污名化情况](https://github.com/data-journalism/dj2017/blob/master/./group/allweeks/index.html) |
|徐妙 冼芷卉 夏艺菡 | [你买得起房吗?](https://github.com/data-journalism/dj2017/blob/master/./group/bigdata/index.html) |
|王一珺 叶霁萱 沈欣 | [国宝特攻带你走近国家宝藏](https://github.com/data-journalism/dj2017/blob/master/./group/grandpa-say/index.html) 【[附件](https://github.com/data-journalism/dj2017/blob/master/https://shen.netlify.com/)】 |
|张鑫宇 周琪 周围子| [基于经济状况的中国五大教基本情况分析——以CFPS中国家庭数据追踪调查2012年的数据为基础](https://github.com/data-journalism/dj2017/blob/master/./group/kaopu/index.html) |
|贾聪 蔡兆钦 郑书遥 刘妍彤| [数据画像|你会在婚恋网站上遇到什么样的TA?](https://github.com/data-journalism/dj2017/blob/master/./group/legend/index.html) |
|岳琬琪 卞文钰 谢纯纯 | [中国各大高校校名流变](https://github.com/data-journalism/dj2017/blob/master/./group/mbadj/index.html) |
|刘树琦 刘晓濛 苟泽鹏 | [格莱美奖:从过去到未来](https://github.com/data-journalism/dj2017/blob/master/./group/nothing-is-correct/index.html) |
|张司珏 孙远 赵玥 张安| [今年,你在江苏买的起房吗?](https://github.com/data-journalism/dj2017/blob/master/./group/python911/index.html) |
|征梦婷 陈阳阳 贾威| [2007-2016: 一滴水的十年踪迹](https://github.com/data-journalism/dj2017/blob/master/./group/save-our-hairline/index.html) |
|周旦烨 胡雪菲 罗昊| [八张图带你看清当代人们的阅读习惯和偏好](https://github.com/data-journalism/dj2017/blob/master/./group/sjxw/index.html) |
|李铁薇 | [数据科学从业者画像 WHAT DO YOU KNOW ABOUT A DATA SCIENTIST? ](https://github.com/data-journalism/dj2017/blob/master/./group/tiewei/index.html) |
# Content
| week | topic | note |
| ------------- |:-------------:| -----:|
|1 | **数据新闻导论** | https://github.com/data-journalism/dj2017 |
|2 | 课程简介与Github平台介绍 | |
|3 | 数据新闻的未来、现在、过去 | |
|4 | **数据获取导论** | |
|5 | 数据科学的编程工具:Python语言简介 | |
|6 | Python数据抓取简介 | 第六次作业:python抓取天气数据 |
|7 | **数据分析简介** | |
|8 | **数据诠释与因果关系** | |
|9 | **数据可视化**:概念、案例和方法 | |
|10 | H5和Javascript初步:HTML | |
|11 | H5和Javascript初步:CSS和JS | |
|12 | H5和Javascript初步:D3简介 | 第八次作业:D3练习 |
|13 | 数据可视化:echarts简介 | 第九次作业:echarts练习 |
|14 | 计算媒介:以processing为例 (上)| https://vimeo.com/channels/introcompmedia/ |
|15 | 计算媒介:以processing为例 (上)| 第四次作业 |
|16 | 数据可视化:Tableau简介 | 第十次作业:Tableau练习 |
|17 | 网络可视化: gephi的使用 | |
|18 | 学生作品展示 | |
# 请选课的同学watch本页面
点击页面右上角watch按钮即可,这样你可以收到最新的issues的邮件提醒。
或者点击本链接:https://github.com/data-journalism/dj2017/subscription
# 每周签到情况
https://data-journalism.github.io/dj2017/attendance.htm
# 本周作业信息发布
[https://github.com/data-journalism/dj2017/wiki/Homework](https://github.com/data-journalism/dj2017/blob/master/https://github.com/data-journalism/dj2017/wiki/Homework)
- 注意事项 不要提交word文档,以markdown文件提交,markdown文件的结尾是 `.md` 。关于markdown的格式介绍见: https://guides.github.com/features/mastering-markdown/
#### 更多关于使用Markdown进行写作的资料
- 献给写作者的 Markdown 新手指南:http://www.jianshu.com/p/q81RER
- 怎样引导新手使用 Markdown?:https://www.zhihu.com/question/20409634
- 这篇文末有常用的Markdown编辑器:http://www.markdown.cn
- 一个在线的Markdown编辑器:https://www.zybuluo.com/mdeditor
#### 关于数据新闻案例分享、阅读+presentation、软件工具分享次序的安排
[https://github.com/data-journalism/dj2017/wiki/](https://github.com/data-journalism/dj2017/blob/master/https://github.com/data-journalism/dj2017/wiki/)
# 资源推荐
1. Adobe免费正版PhotoShop CS2 http://soft.zol.com.cn/346/3467942.html
2. JavaScript Basics Udacity Open Course https://www.udacity.com/course/ud804 Or the Youtube playlist: https://www.youtube.com/playlist?list=PLAwxTw4SYaPmtf5v3hefG5seVynUtV9T8
3. JavaScript入门 http://www.imooc.com/learn/36?from=itblog
4. JavaScript全栈教程-Nodejs-fs (分享自 @廖雪峰) [网页链接](https://github.com/data-journalism/dj2017/blob/master/http://www.liaoxuefeng.com/wiki/00143444668***67b27157e896e74d51a89c25cc8b43bdb3000)
5. Datacamp https://www.datacamp.com/
6. 中国数据新闻工作坊培训手册 [http://djchina.org/2015/09/01/china-data-journalism-training-content/](https://github.com/data-journalism/dj2017/blob/master/http://djchina.org/2015/09/01/china-data-journalism-training-content/)
7. Doing Journalism with Data: First Steps, Skills and Tools by Paul Bradshaw, Alberto Cairo, Steve Doig, Simon Rogers, Nicolas Kayser-Bril http://learno.net/classroom/doing-journalism-with-data-first-steps-skills-and-tools/
8. datajournalismhandbook [http://datajournalismhandbook.org/1.0/en/](https://github.com/data-journalism/dj2017/blob/master/http://datajournalismhandbook.org/1.0/en/)
# 想要提问,点下面!
[https://github.com/data-journalism/dj2017/issues](https://github.com/data-journalism/dj2017/blob/master/https://github.com/data-journalism/dj2017/issues)
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