This repository is an analysis and visualization of COVID-19 Pandemic spread in South Korea.
See this in Kaggle
COVID-19 in South Korea Dataset by DS4C
- Case.csv (Data of COVID-19 infection cases)
- PatientInfo.csv (Epidemiological data of COVID-19 patients)
- PatientRoute.csv (Route data of COVID-19 patients)
- Region.csv (Location and statistical data of the regions)
- SearchTrend.csv (Trend data of the keywords searched in NAVER which is one of the largest portals)
- SeoulFloating.csv (Data of floating population in Seoul, South Korea (from SK Telecom Big Data Hub))
- Time.csv (Time series data of COVID-19 status)
- TimeAge.csv (Time series data of COVID-19 status in terms of the age)
- TimeGender.csv (Time series data of COVID-19 status in terms of gender)
- TimeProvince.csv (Time series data of COVID-19 status in terms of the Province)
- Weather.csv (Data of the weather in the regions)
Dataset consists of time-series data from January 20, 2020 to March 30, 2020.
- Clone this repository:
git clone https://github.com/hwuiwon/covid-19-analysis-kr.git
or click Download ZIP
in right panel of repository and extract it.
- Open latest version of notebook in Jupyter Notebook or Google Colab.
- Several visualizations of a time-series dataset of covid19 cases in South Korea
- Detailed Analysis of data