The U.S. Department of Commerce tracks the number of workers employed in various industries in the United States. It summarizes these data in the Statistical Abstract of the United States. This regularly appearing volume contains a rich collection of tables and charts that describe the country.
The data shown in the following table appear in Table 620 in the 2012 edition, available online at www.census.gov. This table summarizes a categorical variable from each of two data tables. These categorical variables identify the type of industry that employs the worker. Each row in the underlying data tables represents an employee, either in 2000 or 2010.

Each value shown in this frequency table is a rounded count given in thousands. For example, about 2,464,000 were employed in agriculture and related industries in 2000.
Motivation
(a) A frm that sells business insurance that covers the health of employees is interested in how it should allocate its sales force over the different industries. Why would this frm be interested in a table such as this?
Method
(b) What type of plot would you recommend to show the distribution of the workforce over industries in each year?
(c) Management is particularly interested in knowing which industries have experienced the most growth in the number of employees. What graph do you recommend to show changes in the size of the workforce in the different industries?
Mechanics
(d) Prepare the chart that you chose in part (c). Explain the order you chose to show the categories.
(e) How does the chart highlight industries that have smaller employment in 2000 than in 2010?
(f) Do you think you should show all ten categories, or should some rows be combined or set aside?
Message
(g) What message does your chart convey about the changing nature of employment?
(h) By focusing on the growth and using a single chart, what€™s hidden?

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Industry Agriculture Construction Manufacturing Transportation Education Health Hospitality Retail trade Finance Professional services 2010 2,464 2,206 9,931 9,077 19,644 14,081 7,380 7,134 11,255 13,155 14,933 18,907 11,186 12,530 15,763 15,934 9350 13,649 15,253 2000 9374