Table_Manipulation_and_Visualizations

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Table_Manipulation_and_Visualizations1. 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 a... re 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 [Show More]

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