COVID-19 Exploratory Data Analysis
An exploratory analysis which explores on the current COVID-19 situation in the world. It also explores the situation in Nigeria. Descriptive Statistics was evaluated and in the full report a test for significance was carried out to estimate the trends of the COVID-19 in Nigeria. Goal of the analysis was to visualize the outbreak of COVID-19 with different EDA methods utilizing Python, BeautifulSoup for web scrapping and performing geo-spatial visualizations in R to provide sufficient consciousness regarding the outbreak of the Virus all over the world.
Libraries
- pandas for data processing and cleaning, numpy for linear algebra and statistical analysis
- matplotlib and seaborn for visualization. GADM for spacial analysis and visualization of real time map
- Requests and BeautifulSoup for webscraping
- plyr, rvest, dplyr, tidyverse, sf, sp (Allows us to plot the spatial polygon that the GADM data is stored at.),raster (Allows to read spatial file into)
- ggmap, RColorBrewer