Assignment:
1. Child Mortality
In this first part of Task 2, you should write a Python script that reads and analyses the child mortality data file and produce at least FOUR useful graphs that give insight into the data trends.
For example, here are some suggestions:
• show the change in child/infant/neonatal mortality over the period 1990 to 2016 for several representative countries.
• compare the mortality rates of all countries in a given year.
• compare the improvement in mortality rates over the 1990/2016 period - that is, one divided by the other.
• compare child mortality against infant mortality and neonatal mortality to see what is the relationship between them.
2. Child Mortality and Country Types
In this second part of Task 2, you should write another Python script that reads and analyses the country metadata (COUNTRY.json) and the air pollution exposure data (AirPollutionCountry.csv) and merges it with the child mortality data from Part 1, to allow you to do some higher-level analysis of child mortality trends. You will then need to write up a report that includes a discussion on the mortality levels of children, infants and babies around the world, based on the graphs you have created in Part 1 and 2.
Your report should include at least two graphs that display or compare child/infant/neonatal mortality in different regions of the world (using the WHO_REGION string to group the countries).
You report should include at least two graphs that compare child/infant/neonatal mortality across different income groupings (using the WORLD_BANK_INCOME_GROUP string to classify the countries).
Your report should include at least two graphs that display or compare child/infant/neonatal mortality with the different air pollution exposure levels (using the TOTAL column for pollution percentages)