five

[NeurIPS 2020] Data Science for COVID-19 (DS4C)

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www.kaggle.com2020-07-13 更新2025-01-21 收录
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https://www.kaggle.com/kimjihoo/coronavirusdataset
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### A portion of our dataset has been accepted in NeurIPS 2020. See this [paper](https://www.cmu.edu/dietrich/causality/CameraReadys-accepted%20papers/55%5CCameraReady%5Cpaper.pdf) for more details ## Context COVID-19 has infected more than 10,000 people in South Korea. KCDC (Korea Centers for Disease Control &amp; Prevention) announces the information of COVID-19 quickly and transparently. We make a structured dataset based on the report materials of KCDC and local governments. Also, we analyze and visualize the data using various data mining or visualization techniques. ## Official Kernels - [[DS4C] What is this dataset (Detailed Description)](https://www.kaggle.com/kimjihoo/ds4c-what-is-this-dataset-detailed-description) - [[DS4C] EDA with Floating Population Data](https://www.kaggle.com/incastle/ds4c-eda-with-floating-population-data) - [[DS4C] Who spreads the corona virus?](https://www.kaggle.com/incastle/ds4c-who-spreads-the-corona-virus) - [[DS4C] time series geospatial EDA using folium.](https://www.kaggle.com/mbnb8317/ds4c-time-series-geospatial-eda-using-folium) - [[DS4C]Tutorial : All about folium (ing..) + 한국어 설명](https://www.kaggle.com/mbnb8317/ds4c-tutorial-all-about-folium-ing) - [[DS4C] Korea, Wonderland? (Fight against COVID-19)](https://www.kaggle.com/kimjihoo/ds4c-korea-wonderland-fight-against-covid-19) ## Update - We have stopped updating the dataset. - PatientRoute.csv is currently not available because of privacy issue. ## Acknowledgements Thanks sincerely to all the members of KCDC and local governments. **Source of data**: [KCDC](http://www.cdc.go.kr/) (Korea Centers for Disease Control &amp; Prevention) *** &gt; **DS4C (Data Science for COVID-19) Project** [(Github)](https://github.com/ThisIsIsaac/Data-Science-for-COVID-19) 1. To reprocess information provided by KCDC and local governments for easy data analysis 2. To find meaningful patterns by applying various data mining or visualization techniques - **Chief Research Director** - [Jihoo Kim](https://www.kaggle.com/kimjihoo) - [JoongKun Lee](https://github.com/ThisIsIsaac) - **Senior Research Engineer** - [SeoJin Jang](https://www.kaggle.com/sarah5398) - [SeongHan Ryoo](https://www.kaggle.com/incastle) - [YeonJun In](https://www.kaggle.com/mbnb8317) - [WonCheol Lee](https://www.kaggle.com/leewoncheol) - [DongHwan Jang](https://github.com/DongHwanJang) - [Jimi Kim](https://github.com/kjm0623v) - [MuHwan Kim](https://github.com/minty99) (absent) - **Research Engineer** - [BoYoung Song](https://www.kaggle.com/bysong) - [KyeongWook Jang](https://www.kaggle.com/jeeudev) - [MinSeok Jung](https://www.kaggle.com/msjung) - [SangWook Park](https://www.kaggle.com/kvmoke) - [TaeHyeong Park](https://www.kaggle.com/asdjfalksjdh) - [WanSik Choi](https://www.kaggle.com/wansook0316) - [YouNa Jung](https://www.kaggle.com/younajung) - **Former Maintainer** - [JuHwan Park](https://www.kaggle.com/parkjuhwan) - [Won Hwang](https://github.com/mangocode96) - **Logo Designer** - [RinChong Kim](http://indesignlab.creatorlink.net) *** ## Partnership ### 1) Competition - [COVID-19 Visualization &amp; AI Competition](https://dacon.io/competitions/official/235590/overview/) (DACON) - 2020.03.29 ~ 2020.05.10 - Winners' Code [1st Place](https://dacon.io/competitions/official/235590/codeshare/949) [2nd Place](https://dacon.io/competitions/official/235590/codeshare/997) [3rd Place](https://dacon.io/competitions/official/235590/codeshare/1001) - [Post-Corona Data Visualization Competition](https://dacon.io/competitions/official/235618/overview/) (KT) - 2020.07.01 ~ 2020.07.31 - Winners' Code [1st Place](https://dacon.io/competitions/official/235618/codeshare/1448) [2nd Place](https://dacon.io/competitions/official/235618/codeshare/1457) [3rd Place](https://dacon.io/competitions/official/235618/codeshare/1434) [4th Place](https://dacon.io/competitions/official/235618/codeshare/1363) [5th Place](https://dacon.io/competitions/official/235618/codeshare/1430) - [Transport Big Data Online Hackathon](https://dacon.io/competitions/official/235622/overview/) (Ministry of Land, Infrastructure and Transport) - 2020.07.14 ~ 2020.09.04 - Winners' Code [1st Place](https://dacon.io/competitions/official/235622/codeshare/1603) [2nd Place](https://dacon.io/competitions/official/235622/codeshare/1621) [3rd Place](https://dacon.io/competitions/official/235622/codeshare/1620) [4th Place](https://dacon.io/competitions/official/235622/codeshare/1606) [5th Place](https://dacon.io/competitions/official/235622/codeshare/1607) <img src="https://user-images.githubusercontent.com/50820635/87323213-6f6eed00-c569-11ea-9ca0-965b984e25de.PNG"> ### 2) Research - [Maggie Munkhjargal](https://www.linkedin.com/in/maggie-munkhjargal-md-ph-d-candidate-473a0163/) (Harvard T.H. Chan School of Public Health) - [Gwang-Jin Kim](https://www.linkedin.com/in/gwang-jin-kim-374b8867/) (University of Freiburg) - [Sofia K. Mettler](https://www.linkedin.com/in/sofia-kyonhi-mettler-ab23981b2/) (Swiss Federal Institute of Technology, University of Zurich) - [Myung-Bae Park](https://silvermed.pcu.ac.kr/_silvermed/sub02/sub020401.html) (Department of Gerontology Health and Welfare, Pai Chai University) - [Jinhee Lee](https://www.ywmc.or.kr/web/www/psychiatry/doc) (Department of Psychiatry, Yonsei University Wonju College of Medicine) - [Sun Kim](https://www.linkedin.com/in/sun-kim-035585124/) (Harvard T.H. Chan School of Public Health) - [Ardiansyah Ardiansyah](https://www.linkedin.com/in/ardiansyahdotid) (Chonnam National University) - [Atina Husnayain](https://www.medrxiv.org/content/10.1101/2020.04.23.20077552v1) (College of Medical Science and Technology, Taipei Medical University) - [Carlos Saez](https://avillach-lab.hms.harvard.edu/people/carlos-s%C3%A1ez) (Universitat Politècnica de València &amp; Harvard Medical School) - [Dimitrios E. Kouzoukas](https://www.linkedin.com/in/dimitrios-kouzoukas/) (Edward Hines, Jr. VA Hospital &amp; Loyola University Chicago) - [Tanima Bose](https://www.linkedin.com/in/tanima-bose-phd-6ab5263a/?originalSubdomain=de) (Ludwig-Maximilian University of Munich) - [Keumseok Peter Koh](https://www.geog.hku.hk/k-koh) (Faculty of Social Sciences, The University of Hong Kong) <img src="https://user-images.githubusercontent.com/50820635/83261173-e8062e00-a1f5-11ea-9968-1259e1b704d1.PNG"> ### 3) Media - News articles - [ZDNet Korea](https://www.zdnet.co.kr/view/?no=20200305141041) (2020.03.05) - [The Electronic Times](https://www.etnews.com/20200306000213) (2020.03.06) - [The Korea Economic Daily](https://www.hankyung.com/it/article/202003100677i) (2020.03.10) - [The Washington Post](https://www.washingtonpost.com/graphics/2020/world/coronavirus-south-korea-church/?itid=ap_youjinshin) (2020.03.25) - Blog posts - [Databricks](https://databricks.com/blog/2020/04/14/covid-19-datasets-now-available-on-databricks.html) (2020.04.14) - [DataRobot](https://www.datarobot.com/blog/predicting-days-to-recovery-of-covid-19-patients/) (2020.05.08) <img src="https://user-images.githubusercontent.com/50820635/83264205-bb084a00-a1fa-11ea-8e9b-ccd024985887.PNG"> ### 4) Sponsor - Google Korea ([Soonson Kwon](https://kldp.org/~kss/)) - Slack Technologies ([Andy Pflaum](https://www.linkedin.com/in/andypflaum/)) - Notion Labs <img src="https://user-images.githubusercontent.com/50820635/77623631-c4b7cc00-6f83-11ea-85d8-fc0c25d28af2.PNG"> ### 5) Partner - [Big Leader Institute](http://bigleader.net/) - [MINDs Lab](https://mindslab.ai:8080/kr/company) - [SK Telecom Geovision](http://b2b.tworld.co.kr/bizts/solution/solutionTemplate.bs?solutionId=0022) - [Databricks](https://redash-demo.dev.databricks.com/public/dashboards/iGnxBLpGi7lSTZlH4AwlwmPmEZZo1FKJNKBtUm2Y?org_slug=default) - [CoronaBoard](https://coronaboard.kr/) <img src="https://user-images.githubusercontent.com/50820635/89502126-72bf6680-d7ff-11ea-926b-9e7ee6d414b8.PNG">

本数据集的一部分已入选于NeurIPS 2020。详情请参阅此[论文](https://www.cmu.edu/dietrich/causality/CameraReadys-accepted%20papers/55%5CCameraReady%5Cpaper.pdf)。 COVID-19疫情已感染超过10,000名韩国民众。韩国疾病控制与预防中心(KCDC)迅速且透明地发布了COVID-19的相关信息。我们基于KCDC及地方政府提供的报告材料,构建了结构化的数据集。此外,我们运用多种数据挖掘或可视化技术对数据进行分析与可视化。 官方核仁: - [[DS4C] 本数据集的详细介绍](https://www.kaggle.com/kimjihoo/ds4c-what-is-this-dataset-detailed-description) - [[DS4C] 基于浮动人口数据的EDA](https://www.kaggle.com/incastle/ds4c-eda-with-floating-population-data) - [[DS4C] 谁传播了冠状病毒?](https://www.kaggle.com/incastle/ds4c-who-spreads-the-corona-virus) - [[DS4C] 使用folium进行时间序列地理空间EDA](https://www.kaggle.com/mbnb8317/ds4c-time-series-geospatial-eda-using-folium) - [[DS4C] 教程:关于folium的所有内容(进行中)+ 韩语说明](https://www.kaggle.com/mbnb8317/ds4c-tutorial-all-about-folium-ing) - [[DS4C] 韩国,仙境?(抗击COVID-19)](https://www.kaggle.com/kimjihoo/ds4c-korea-wonderland-fight-against-covid-19) 更新: - 我们已停止更新数据集。 - 由于隐私问题,PatientRoute.csv目前不可用。 致谢: 衷心感谢韩国疾病控制与预防中心(KCDC)和地方政府的所有成员。 **数据来源**:[KCDC](http://www.cdc.go.kr/)(韩国疾病控制与预防中心) *** > **DS4C(COVID-19数据科学项目**) [(Github)](https://github.com/ThisIsIsaac/Data-Science-for-COVID-19) 1. 对KCDC和地方政府的提供的信息进行重新处理,以便于数据分析 2. 通过应用各种数据挖掘或可视化技术,寻找有意义的模式 - **首席研究总监** - [Jihoo Kim](https://www.kaggle.com/kimjihoo) - [JoongKun Lee](https://github.com/ThisIsIsaac) - **高级研究工程师** - [SeoJin Jang](https://www.kaggle.com/sarah5398) - [SeongHan Ryoo](https://www.kaggle.com/incastle) - [YeonJun In](https://www.kaggle.com/mbnb8317) - [WonCheol Lee](https://www.kaggle.com/leewoncheol) - [DongHwan Jang](https://github.com/DongHwanJang) - [Jimi Kim](https://github.com/kjm0623v) - [MuHwan Kim](https://github.com/minty99)(缺席) - **研究工程师** - [BoYoung Song](https://www.kaggle.com/bysong) - [KyeongWook Jang](https://www.kaggle.com/jeeudev) - [MinSeok Jung](https://www.kaggle.com/msjung) - [SangWook Park](https://www.kaggle.com/kvmoke) - [TaeHyeong Park](https://www.kaggle.com/asdjfalksjdh) - [WanSik Choi](https://www.kaggle.com/wansook0316) - [YouNa Jung](https://www.kaggle.com/younajung) - **前任维护者** - [JuHwan Park](https://www.kaggle.com/parkjuhwan) - [Won Hwang](https://github.com/mangocode96) - **标志设计师** - [RinChong Kim](http://indesignlab.creatorlink.net) ## 合作 ### 1) 比赛 - [COVID-19可视化与AI竞赛](https://dacon.io/competitions/official/235590/overview/)(DACON) - 2020.03.29 ~ 2020.05.10 - 冠军代码 [1st Place](https://dacon.io/competitions/official/235590/codeshare/949) [2nd Place](https://dacon.io/competitions/official/235590/codeshare/997) [3rd Place](https://dacon.io/competitions/official/235590/codeshare/1001) - [后冠状病毒数据可视化竞赛](https://dacon.io/competitions/official/235618/overview/)(KT) - 2020.07.01 ~ 2020.07.31 - 冠军代码 [1st Place](https://dacon.io/competitions/official/235618/codeshare/1448) [2nd Place](https://dacon.io/competitions/official/235618/codeshare/1457) [3rd Place](https://dacon.io/competitions/official/235618/codeshare/1434) [4th Place](https://dacon.io/competitions/official/235618/codeshare/1363) [5th Place](https://dacon.io/competitions/official/235618/codeshare/1430) - [交通大数据在线黑客松](https://dacon.io/competitions/official/235622/overview/)(国土交通省) - 2020.07.14 ~ 2020.09.04 - 冠军代码 [1st Place](https://dacon.io/competitions/official/235622/codeshare/1603) [2nd Place](https://dacon.io/competitions/official/235622/codeshare/1621) [3rd Place](https://dacon.io/competitions/official/235622/codeshare/1620) [4th Place](https://dacon.io/competitions/official/235622/codeshare/1606) [5th Place](https://dacon.io/competitions/official/235622/codeshare/1607)
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