This project includes information on coal mining in West Virginia from 1994 to 2014.

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Topics Create a PivotTable Group PivotTable data Create a PivotChart and PivotTable Update the PivotTable data Background Information PARTICIPATION PROJECT INSTRUCTIONS: MICROSOFT EXCEL This project includes information on coal mining in West Virginia from 1994 to 2014. Instructions IMPORTANT: This assignment requires the Windows version of Microsoft Office. IMPORTANT: Complete the steps below in the order they are given. Completing the steps out of order may complicate the assignment or result in an incorrect result. 1. Download and extract the provided Data Files ZIP file. It contains the following files for use in this assignment: a. mining.xlsx Information on coal mining in West Virginia [1], [2]. Sheet: Coal Mined County Text Name of the West Virginia county. 1994 Number Tons of coal mined in the county in 1994. 1999 Number Tons of coal mined in the county in 1999. 2004 Number Tons of coal mined in the county in 2004. 2009 Number Tons of coal mined in the county in 2009. 2014 Number Tons of coal mined in the county in 2014. Pctg of Total Mined Percentage Percentage of all coal mined in 2014 that was mined in the county. 2014 Top 10 County Text Indication if the county ranked in the top 10 for coal mined in 2014. 1994+ Top 10 County Text Indication if the county ranked in the top 10 for coal mined any time 1994 or later. Page 1 of 6 Version 3.5

Sheet: Prices County Text Name of the West Virginia county. 1994 Currency Per-ton price of coal sold in 1994. 1999 Currency Per-ton price of coal sold in 1999. 2004 Currency Per-ton price of coal sold in 2004. 2009 Currency Per-ton price of coal sold in 2009. 2014 Currency Per-ton price of coal sold in 2014. Average Price Currency Average of coal prices during the period 1994-2014. Inflation-Adjusted Currency Empty column. 1994 2014 Rank Number Rank of coal prices in 2014. 2014 Rank Class Text Indication of the county s coal prices are in the top, middle, or bottom third. Coal Pricing Text Relative indication of coal prices in 2014. Sheet: Total Values County Text Name of the West Virginia county. 1994 Currency Total value of coal mined in 1994. 1999 Currency Total value of coal mined in 1999. 2004 Currency Total value of coal mined in 2004. 2009 Currency Total value of coal mined in 2009. 2014 Currency Total value of coal mined in 2014. Coal Pricing Text Empty column. 2009-2014 Change Text Indication if the total value increased between 2009 and 2014. Sparkline Sparkline Empty column. County (Region) Text Empty column. Sheet: Forecasts 1994 Tons Number Tons of coal mined in the region in 1994. 1999 Tons Number Tons of coal mined in the region in 1999. 2004 Tons Number Tons of coal mined in the region in 2004. 2009 Tons Number Tons of coal mined in the region in 2009. 2014 Tons Number Tons of coal mined in the region in 2014. 2019 Tons Number Forecasted tons of coal mined in the region in 2019. 2019 Price Currency Forecasted per-ton price of coal in 2019. Page 2 of 6 Version 3.5

2019 Total Coal Value Currency Forecasted total value of coal mined in 2019. Sheet: Analysis Questions Question Number Text Question being answered. Response Text Response to the analysis question prompt. 2. Open the mining.xlsx workbook in Microsoft Excel. Create a PivotTable 3. We wish to create a PivotTable to better understand the coal mining data. a. Create a new PivotTable based on the data in cells A3 through J58 of the Coal Mined sheet. Place the PivotTable on a new sheet named Coal Mined PivotTable. b. On the PivotTable, do the following: i. Add the 1994+ top 10 county indicator as a Filters field. i Add the region and then the county as Rows fields. Add the 1994, 1999, 2004, 2009, and 2014 data as Values fields. c. We need to perform some formatting on the PivotTable. i. There is nothing to do for this step. Please proceed to the next step. i Group PivotTable data Summarize the 1994, 1999, 2004, 2009, and 2014 values by summing them. There is nothing to do for this step. Please proceed to the next step. 4. We want to create another PivotTable to understand relative production between counties. a. Create a new PivotTable based on the data in cells A3 through J58 of the Coal Mined sheet. Place the PivotTable on a new sheet named 2014 Coal Mined PivotTable. b. On the PivotTable, do the following: i. Add the 2014 data as a Rows field. Add the county as a Values field. c. We need to perform some formatting on the PivotTable. i. Group the 2014 data into sets of 2,000,000 starting at 0. Summarize the counties by counting them. Page 3 of 6 Version 3.5

i There is nothing to do for this step. Please proceed to the next step. Create a PivotChart and PivotTable 5. To better understand the total values data, we wish to create a PivotChart with an associated PivotTable. a. Create a new PivotChart and PivotTable based on the data in cells A3 through K58 of the Total Values sheet. Place the PivotTable on a new sheet named Total Values PivotTable and move the PivotChart to a new sheet named Total Values PivotChart. b. On the PivotTable, do the following: i. Add the region as a Rows field. Add the 1994, 2004, and 2014 data as Values fields. c. We need to perform some formatting on the PivotTable. i. There is nothing to do for this step. Please proceed to the next step. i Summarize the 1994, 2004, and 2014 values by summing them. Format the cells as indicated below: (1) 1994, 2004, and 2014 columns: currency with no decimal places d. We need to perform some formatting on the PivotChart. i. Ensure the chart is a 2-D clustered column chart. Specify appropriate chart and axis titles. Update the PivotTable data 6. We will now update the coal mined PivotTable after making some changes to the source data. a. On the Coal Mined sheet, enter text in the cell as indicated below: i. C5: 150000 b. Refresh the Coal Mined PivotTable sheet PivotTable. c. Undo your change. On the Coal Mined sheet, enter text in the cell as indicated below: i. C5: 0 d. Refresh the Coal Mined PivotTable sheet PivotTable. Page 4 of 6 Version 3.5

7. Starting in row 2 of the Analysis Questions sheet, answer the analysis question below. Respond to one question per row. c. Between 1950 and 2010, coal mine employment in West Virginia fell from 113,861 to 14,507 yet the amount of coal produced went up. How can this be the case? Grading Rubric This assignment is worth 8 points. It will be graded by your instructor using this rubric: Standard Student made reasonable effort in correctly completing assignment. Meets Requirements (8 points) Assignment is at least 70% complete and correct, or student contacted instructor for help on incorrect or incomplete items. Does Not Meet Requirements (0 points) Assignment is less than 70% complete and correct, and student did not contact instructor for assistance on incorrect or incomplete items. This rubric will be used for peer evaluation of this assignment: Standard Excellent Satisfactory Assignment is Assignment is at Assignment is 70%- correct and least 90% complete 89% complete and complete. and correct. correct. Needs Improvement Assignment is less than 70% complete and correct. The analysis question in Step 7c will be evaluated using this rubric: Standard Answer is reasonable. Answer is supported. Meets Requirements Answer addresses the question prompt and is factually correct or a reasonable interpretation of available data. Logical rationale is provided to support the given answer. Does Not Meet Requirements Answer does not address the question prompt, is factually incorrect, or is an unreasonable interpretation of available data. Logical rationale is not provided to support the given answer. References [1] West Virginia Mining Statistics, West Virginia Office of Miners Health, Safety and Training, Apr. 14, 2016. Available: http://www.wvminesafety.org/stats.htm. Page 5 of 6 Version 3.5

[2] Annual Coal Report, Energy Information Administration, Mar. 23, 2016. Available: http://www.eia.gov/coal/annual/. Page 6 of 6 Version 3.5