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Some Data Vis Examples that might be useful

Visualize Food

https://www.pinterest.ca/pin/308215168226315090/

https://www.pinterest.ca/pin/290622982178941723/ 

https://www.pinterest.ca/pin/57913545197903408/
https://cargocollective.com/federicafragapane/Food-Poisoning
https://www.google.ca/imgres?imgurl=https%3A%2F%2Fimages.squarespace-cdn.com%2Fcontent%2Fv1%2F5bfc8dbab40b9d7dd9054f41%2F1546723331286-F30315Y97FQ3HND1CQ26%2FBasic-Wine-Guide-Poster-WineFolly.jpg%3Fformat%3D500w&imgrefurl=https%3A%2F%2Fcoolinfographics.com%2Fposters&tbnid=_LPeUsT2AqXlsM&vet=10CBMQxiAoCWoXChMI8Jev-tvl9AIVAAAAAB0AAAAAEAc..i&docid=o_KPr3w1U_sCkM&w=500&h=656&itg=1&q=food%20data%20visualization&ved=0CBMQxiAoCWoXChMI8Jev-tvl9AIVAAAAAB0AAAAAEAc#imgrc=_LPeUsT2AqXlsM&imgdii=9g5-IasmflVcXM
https://www.metabolic.nl/news/why-data-visualization-is-critical-to-driving-sustainable-change/
https://www.google.ca/imgres?imgurl=https%3A%2F%2Fpreviews.123rf.com%2Fimages%2Frikkyal%2Frikkyal1706%2Frikkyal170600008%2F79502417-vector-circle-chart-infographic-template-for-data-visualization.jpg&imgrefurl=https%3A%2F%2Fwww.123rf.com%2Fphoto_79502417_vector-circle-chart-infographic-template-for-data-visualization.html&tbnid=CxkZbn_kjpHiAM&vet=10CBUQxiAoBWoXChMIoLWm-9rl9AIVAAAAAB0AAAAAEAw..i&docid=8vtZXRtOnfIsGM&w=1300&h=1300&itg=1&q=food%20data%20visualization&ved=0CBUQxiAoBWoXChMIoLWm-9rl9AIVAAAAAB0AAAAAEAw
https://www.google.ca/imgres?imgurl=https%3A%2F%2Fcopypress.com%2Fwp-content%2Fuploads%2F2019%2F08%2F15032644782_1b9d7530d8.jpg&imgrefurl=https%3A%2F%2Fwww.copypress.com%2Fkb%2Finfographics%2Ffood-infographics-visualize-food-effectively%2F&tbnid=5QgQ-vbi5ofklM&vet=12ahUKEwjk48b32uX0AhVDexoKHVzmDvcQMyggegUIARD2AQ..i&docid=0AmqGo5XDy36aM&w=386&h=499&itg=1&q=food%20data%20visualization&ved=2ahUKEwjk48b32uX0AhVDexoKHVzmDvcQMyggegUIARD2AQ#imgrc=5QgQ-vbi5ofklM&imgdii=bm7dKDlMuYgygM

找数据的途径:
1)12个商科数据库
https://www.sohu.com/a/296891056_99939279
2) 国家统计局 (大部分是一手的源数据 没有经过筛选 于是比较难自己整理)
http://www.stats.gov.cn/tjsj/
3)教育部
http://www.moe.gov.cn/s78/A03/moe_560/jytjsj_2019/
4)国家数据
http://www.gov.cn/shuju/bumenshuju/index.htm#9
5)东方财富数据中心
https://data.eastmoney.com/report/zw_industry.jshtml?infocode=AP202012181441558493
6)中国经济社会大数据研究平台
https://data.cnki.net/NewHome/index 
7)经济学人
https://www.economist.com/graphic-detail
8)对促进健康食物环境及健康膳食的政策影响评估
https://www.unscn.org/uploads/web/news/document/UNSCN-Impact-Assessment-DP-CH.pdf
9)国际数据
https://campusguides.lib.utah.edu/statsinternational 
10)欧洲青年
https://ec.europa.eu/eurostat/web/youth/data/database
11)data for youth
http://www.ilo.org/wcmsp5/groups/public/---ed_emp/---emp_elm/---trends/documents/publication/wcms_143349.pdf 

 

非常好的案例:
1) 2021.10用户行为分析报告https://data.cnki.net/UserReport/Article?id=46
2)100个成功的统计案例:
https://zhuanlan.zhihu.com/p/107441350
3)Nadieh Bremer的百变小樱案例
https://www.datasketch.es/ 
4)10个数据可视化博客
https://www.tableau.com/zh-cn/learn/articles/best-data-visualization-blogs 
5)奥运会中国奖牌获得情况
https://2020.cctv.com/medal_list/details/index.shtml?countryid=
6)Visualizing Data
https://www.visualisingdata.com/2018/09/best-of-the-visualisation-web-june-2018/ 
7)抖音的报告 (32页的图或许有帮助)
file:///C:/Users/ZQ's%20laptop/Downloads/2018%E6%8A%96%E9%9F%B3%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8A%A5%E5%91%8A.pdf
8)女性做data的报告
https://iibawards-prod.s3.amazonaws.com/projects/images/000/003/269/large.png?1536848121
9)TalkingData里面的数据 90后生活方式研究
http://www.invest-data.com/eWebEditor/uploadfile/2018011313253768302585.pdf
10) 巨量引擎 新十年中国居民消费趋势报告:
https://www.cbndata.com/report/2774/detail?isReading=report&page=2&readway=stand 
11)CBNData 很多数据的一个来源,有多种话题
https://www.cbndata.com/home
12) 2020年中国互联网消费生态数据报告
https://pdf.dfcfw.com/pdf/H3_AP202012181441558493_1.pdf?1608307770000.pdf 
13)90后生活消费白皮书
http://pdf.dfcfw.com/pdf/H3_AP202009111410915927_1.pdf 
14)睫毛膏案例
https://iibawards-prod.s3.amazonaws.com/projects/images/000/003/269/large.png?1536848121 
https://www.studioterp.nl/mascaras-a-datavisualization/
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(给第二个作业)(微信里的图)

灵感
1)奥运会中国奖牌获得数量: https://www.google.com/search?q=%E5%A5%A5%E8%BF%90%E4%BC%9A%E4%B8%AD%E5%9B%BD%E5%A5%96%E7%89%8C&rlz=1C1CHBF_zh-HKRU970CN970&oq=%E5%A5%A5%E8%BF%90%E4%BC%9A%E4%B8%AD%E5%9B%BD%E5%A5%96%E7%89%8C&aqs=chrome..69i57j0i5i30l2.6205j0j4&sourceid=chrome&ie=UTF-8 
2)哈士奇跟金毛的区别
3)不同年龄段人对不同问题的观点
4)螺蛳粉跟方便面的差距 (视频的营养丰富程度说明书)
      不同牌子的螺蛳粉的差距
5) 90后跟00后成长环境变化对比
6)午餐外卖的受欢迎程度以及营养成分
外卖吃什么
- 选择10个最受欢迎的本地外卖 分析里面的成分
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跟老师meeting的结果: 数据来源可以比较自由

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