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 V1 contains the two-character code of the country ISO - for labels in visualizations;
the second, third, fourth, and fifth variables are as given in the table (select a row from the table and make me a note for confirmation or select your own variables V2, V3, V4, and V5 for which you expect that are somehow related, and make me a note for confirmation);
if you find it useful for your exploration you can add additional variables from the “book”.

To make variables comparable, you can select also derived variables such as (Labor force / Population), (Annual passenger traffic on registered air carriers / Population), or (Total airports / Land area).

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.

n	student	V1	V2	V3	V4	V5
1	Jiaxuan Wang	ISO	Physicians density	Hospital bed density	Total fertility rate	Total population life expectancy at birth
2	Alisa Ignatova	ISO	Birth rate	Death rate	Net migration rate	Urban population %
3	Ekaterina Kibalchich	ISO	urban population	carbon dioxide emissions	energy consumption per capita	real GDP
4		ISO
5		ISO
6		ISO
7		ISO
8		ISO
9		ISO
10		ISO
11		ISO
12		ISO
13		ISO
14		ISO
15		ISO
16		ISO
17		ISO
18		ISO
19		ISO

Save the created data frame as a CSV file.

Explore the collected data. For visualization on a map see Maps or rworldmap.

Write a report and save it as a PDF file. Put the report and CSV file into a ZIP file and send it to me.

Hint: The factbook data are available as a JSON file at GitHub / Download

> 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)

Example extracting a selected variable from the Factbook.

Students; EDA