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