Table Manipulation and Visualizations.  University of California, Berkeley DATA MISC

1. Unemployment
The Federal Reserve Bank of St. Louis publishes data about jobs in the US. Below, we've loaded
data on unemployment in the United States. There are many ways of defining unemployment, and
our dataset includes two notions of the unemployment rate:
1. Among people who are able to work and are looking for a full-time job, the percentage who
can't find a job. This is called the Non-Employment Index, or NEI.
2. Among people who are able to work and are looking for a full-time job, the percentage who
can't find any job ​or​ are only working at a part-time job. The latter group is called "Part-Time
for Economic Reasons", so the acronym for this index is NEI-PTER. (Economists are great
at marketing.)
The source of the data is ​here​.
Question 1.​ The data are in a CSV file called ​unemployment.csv​. Load that file into a table called
unemployment​.
In [74]:
unemployment ​=​ Table.read_table(​"unemployment.csv"​)
unemployment
Out[74]:
Date NEI NEI-PTE
R
1994-01-0
1
10.097
4
11.172
1994-04-0
1
9.6239 10.7883
1994-07-0
1
9.3276 10.4831
1994-10-0
1
9.1071 10.2361
1995-01-0
1
8.9693 10.1832
1995-04-0
1
9.0314 10.1071
1995-07-0
1
8.9802 10.1084
1995-10-0
1
8.9932 10.1046
1996-01-0
1
9.0002 10.0531