Project 1

Make a data frame.

From The World Factbook construct a data frame in which units (rows) are world countries with names from the “book” and variables (columns):

the first variable contains the two character code of the country ISO - for labels in visualizations
the second, third and fourth variable are as given in the table
if you find useful for your exploration you can add additional variables from the “book”

For visual inspection the additional variable region (North America, Central America, South America, Europe, Africa, Middle East, Central Asia, South Asia, East & Southeast Asia, Australia & Oceania, Antarctica) would be very useful - it can be constructed from the map on the entry page and region's countries lists on the next level.

student	V2	V3	V4
Lada Litvinova	total area	railways total	roadways total
Ivan Maslov	population	annual air passengers	# of airports
Antonina Milekhina	GDP - per capita	industrial products growth rate	military expenses
Kirill Ivanov	death rate	literacy, total population %	hospital bed density
Grigoriy Stepanov	population below poverty line	labor force - agriculture %	education expenditures
Dmitry Zaytsev	total area	population	military expenditures
Alexander Alimov	GDP (absolute)	median age	military expenditures in % of GDP
Maxim Florov	Population	Telephones - mobile cellular	Internet users
Grigoriy Khvatskiy	Education Expenditure %	Adult obesity %	Internet users %

Save the created data frame as a CSV file.

Explore the collected data.

Write a report. Put the report and CSV file into a ZIP.

Hint: GitHub

> library(jsonlite)
> J <- fromJSON(readLines("factbook.json"))
> str(J,max.level=2)
> J$countries[[4]]$data$name
[1] "Albania"
> J$countries$albania$data$name
[1] "Albania"
> names(J$countries)
> names(J$countries$albania$data)

Students; EDA