1 Exploratory Data Analysis
Readings
Fundamentals of Data Visualization: 7, 12.1
An Intro to Statistical Learning: 7.6
Additional R References:
R for Data Science: 7 on importing data, 5 on cleaning data, 10 on exploratatory data analysis, and 19 on merging data
An Intro to Statistical Learning: 7.6
Additional Python References:
Using Python for Introductory Economics: 1
An Intro to Stats with Python: 2.1, 2.2, and 3.1
Lecture
Lab
Objective: use both R and Python to combine country-level data on GDP per capita in 2010 from the World Bank’s World Development Indicators with data on educational attainment in 2010 from the Barro-Lee Educational Attainment Data Set, and then explore and summarize some of the variables in the combined data set.
You will download the Barro-Lee data directly from the web, but you most download the World Bank data as a csv file that you will load from your computer directly. Your scripts should set the appropriate file path once so that anyone can run your code after changing the filepath as directed at the top of the script.
The assignment as R, py, and a google colab
Submit your completed assignment on gradescope.