Dataset Overview:
It’s the fourth day of dashboard week. Today, our task is to build a dashboard based on the given data about the infectious disease dengue and any supplementary data that we are curious about. The provided data includes limited information on the number of cases reported by each region/country each year, along with their geospatial information. The supplementary data I found for my dashboard includes related socioeconomic indicators, such as population, GDP, health expenditure, life expectancy, and death rate.
Plan and Insights:
I’m curious about whether there is a relationship between the number of reported dengue cases and a country’s socioeconomic level. A merged question could be: Would a higher number of dengue cases lead to an increased death rate in a certain country?
The dashboard shows that dengue and a country’s socioeconomic indicators do not have a direct correlation, higher dengue cases do not appear to impact the trends of several socioeconomic indicators. This may be due to factors such as dengue being just one of many diseases and not necessarily reflecting a country’s trends in indicators like health expenditure.
Chart Types:
Bar Chart: Reported dengue cases for each country
Line Chart: The number of reported dengue cases and socioeconomic indicators over time
Dashboard:
