Data
This marks the start to the advanced section. Please note that if you are a participant graded as an advanced student, you need to complete this entire section to receive your advance certificate. However, if you are a beginner and have time and motivation left, feel free to complete this section too!
In the following section we would like to model what effect economic growth. We will use different models and approaches regarding the log GDP per capita. Please be mindful that with anything we may find, we cannot really establish any causuality without further theoretical considerations, or more statistically sound methodology beyond the scope if this term's project. However, our data at hand is still a great set to practice the idea behind modelling and machine learning.
We have previously worked with just the Ports data set. We now will have a look at some UN data. Thus, please be mindful of properly citing sources, and refer back to the Sources Section if you are unsure.
Please take a look at the data set `UN_data.csv` we have prepared for you. Load this data and familiarize yourself with the variables and the concepts. Leave some remarks regarding what data you find and any issues you may come across! Remedy the latter, we especially recommend you to rename some variables.
Just for your information: you are looking at cross-sectional data for the year 2015.
To sum up your tasks:
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