Piemicah/covid

This is about Covid-19 in Africa # **Covid-19 cases Across countries in Africa.** ## **Discription** This repository contains python code that analyses covid-19 cases across countries in Africa. I got the data from kaggle.com?, which is in csv format. I checked for columns with null values and missing values were detected in two countries. At the time of data collation, there were no records for missing values in 'Comoros' and 'Tanzania', ttherefore I replaced the missing values with zero using a function from pandas’ library. The original dataset does not contain country iso alpha code, I had to add iso alpha code to each country in order to be able to locate each country precisely on the map. The visualization was achieved by using choropleth heatmap from Plotly Express and the final result is displayed using Dash framework. I limit my scope to Africa heatmap because, the project is concerned about Africa. The visualization contains four (4) radio buttons namely “Total Cases”, “Total Deaths”, “Total Recovered”, and “Active Cases” respectively(as shown in the figure below). Each radio button gives different visualization when clicked, which enable the user to get the information needed easily and faster. I also generated horizontal bar visualization for the total cases using Plotly Express bar plot. ## **Key User Group** Regional director (RD) of World Health Organization (WHO) , Africa branch. The role of regional director is to enhance Africa’s technical support to countries for scaling up proven public health interventions. ## **Problem The Regional Director Faces** Going through a lot of records to know the exact number of people in each country that need urgent medical attentions during the outbreak and the amount of vaccines to be delivered to each country. ## **My Solution** With my method of visualization and the features(columns) I selected, it becomes so easy for the regional director to know the exact number of active cas …