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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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