I'm using the Global Hunger Index Dataset by the World Bank, collected for the Sustainable Development Goal. The dataset has 3740 rows, collecting data since 1991. The total file size is 105kB. Columns are: The columns of this dataset of 1.3MB are the folling:
Entity Code Year Prevalence of undernourishment (World Bank 2017 & UN FAO SOFI (2018)) (%)
This dataset is the calculated GHI for each country. No modification was done to the dataset, other than organizing them for the charts themselves. The data represents the aomunt of people that are undernourished in a country, as well as the mortality rate, and children affected - per year.
This data will be used in comparision with the second data set which includes the pollution index of these countries, where we will display the number of people truly affected by world hunger, as well as how it connects to pollution in these countries.
Link to dataset
World Health Organization, WHO Global Urban Ambient Air Pollution Database (update 2016).
The columns of this dataset of 1.3MB are the folling:
Country (converted to Lat,Lon with Geocoder) City/Town Year Annual mean PM10 ug/m3 PM10 Temporal coverage PM10 note on converted PM10 Annual mean PM2.5 ug/m3 PM2.5 Temporal coverage PM2.5 note on converted PM2.5 Number and type of monitoring stations Reference for air quality Database version (year) statusThe dataset (1.3MB) contains 2935 rows, with 15 columns.
This data set has data about air quality index, more specifically the concentration of pollutants such as PM10 and PM2.5 in countries all around the world. This data set collects data from cities, so this dataset will be processed by calculating the average index of each country, so that it can be compared with countries in the first dataset.
Understanding further what these pollutants do, they could be linked the higher death rates, which could be linked as well to food malnutrition.
Inspiration:
Hannah Ritchie and Max Roser (2019) - "Air Pollution". Published online at OurWorldInData.org.