1. CSC 240 (Blum)1 E-A-G-L-E-S

2. CSC 240 (Blum)2 Go to the Philadelphia Eagles site – the roster page (http://www.philadelphiaeagles.com/team/default.jsp)

3. CSC 240 (Blum)3 Copy the roster from the web page and paste it into Excel

4. CSC 240 (Blum)4 Heights become dates? Excel has interpreted the height 5-11 as the date May 11. One is tempted to say that Excel is just formatting the expression as a date and that one can simply choose not to format the cell containing the data in this manner. But changing the format yields the number 38118. ??? –The default expression for a date in Excel is the number of days that between the date and January 1, 1900.

5. CSC 240 (Blum)5 Further complication Whereas 6-1 got converted to 38139 (June 1, 2004) 6-0 got converted to 36678 (June 1, 2000). It could not interpret the 0 as a day so it interpreted it as a year. We can recover using the Month( ), Day( ) and Year( ) functions.

6. CSC 240 (Blum)6 Enter the formula =Month(D2) in cell I2 to recover the “month” which is really the feet portion of the height.

7. CSC 240 (Blum)7 Copy the formula down the column If you place the cursor into the lower right hand side of the cell, the cursor changes from a thick cross to a thin cross. When the cursor is a thin cross, drag down the column releasing when you reach the bottom of the region containing data.

8. CSC 240 (Blum)8 SpreadSheet after formula copied down

9. CSC 240 (Blum)9 Note that the formula in I3 (copied from I2) refers to D3 whereas the formula copied had D2. This is known as relative addressing and is desired in this case.

10. CSC 240 (Blum)10 Recovering the inches portion Because 0’s got interpreted as years but everything else got interpreted as days, the next part requires an IF. –If the year is 2000, we want a zero. –If the year is not 2000, we want the result of the day function. This is achieved by entering the Excel formula = IF(Year(D2)=2000,0,Day(D2))

11. CSC 240 (Blum)11 Enter formula to recover inches.

12. CSC 240 (Blum)12 Copy formula down column.

13. CSC 240 (Blum)13 While we are at it, let us multiply the feet by 12 and add it to the inches to express the height just in inches. Then we only have one number to store.

14. CSC 240 (Blum)14 Copy the formula down.

15. CSC 240 (Blum)15 Insert a new column.

16. CSC 240 (Blum)16 Highlight the data in the new column, right click and choose Copy.

17. CSC 240 (Blum)17 In the newly inserted column, right click and choose Paste Special.

18. CSC 240 (Blum)18 Choose Values in the Paste Special dialog box. Recall before we copied formulas now we want to copy the results of formulas not the formulas themselves.

19. CSC 240 (Blum)19 Spreadsheet after Paste Special.

20. CSC 240 (Blum)20 Delete all of the old height columns. (If you can come up with a better way to handle this unwanted conversion problem, let me know.)

21. CSC 240 (Blum)21 Position is not single valued. Note that some of the eagles play more than one position. Single pieces of data in databases should be just that single pieces. We say the data should be single-valued not multi-valued. Position will be a separate entity. And the relationship between players and positions will be many-to-many. –A player may play many positions. – A position may be filled by many players.

22. CSC 240 (Blum)22 Eliminate the Position column. We are setting up to import some data into an Access table. The position data does not belong to this table so we eliminate that column.

23. CSC 240 (Blum)23 Years Experience  Year Started The table holds data indicating the number of years the player has been in NFL but has an R if the player is a rookie. It is better to store the year the player started instead of the number of years played because number of years played requires updating. –(There is an issue here. What if the player does not play every year? Then the number of years played cannot be calculated from the year started.)

24. CSC 240 (Blum)24 Another IF formula to deal with the “R” that should be a 0.

25. CSC 240 (Blum)25 Copy it down. Insert a new column, do a copy-paste special (values).

26. CSC 240 (Blum)26 Then eliminate the Exp column and the last column.

27. CSC 240 (Blum)27 Change some of the column headers.

28. CSC 240 (Blum)28 Not ready to import yet. One can import data into Access from Excel, but we do not want to do that. The last name and first name are in the same cell, and we would like them to be separate fields in Access. –We might want to search for players with the same last name. Similarly, the birth city and state are in the same cell and we would like to separate them. –We might want to search for players from the same state. Try to make sure the data is “atomic.”

29. CSC 240 (Blum)29 Go to File/Save As … In the Save as type select CSV. Two questions arise.

30. CSC 240 (Blum)30 OK

31. CSC 240 (Blum)31 Yes

32. CSC 240 (Blum)32 Close Excel and open the CSV file in Notepad. The names are in quotes. It is trying to distinguish between the old commas and the new commas.

33. CSC 240 (Blum)33 Go to Edit/Replace. Enter “ in Find what, leave Replace with blank and click Replace All.

34. CSC 240 (Blum)34 Change the first line to reflect that name is now Lname and Fname, etc.

35. CSC 240 (Blum)35 One last fine point is to eliminate any blank lines at the end of the file.

36. CSC 240 (Blum)36 Follow the procedure we used before to import the data to Access.

37. CSC 240 (Blum)37 Change Fla. To FL

38. CSC 240 (Blum)38 Create a query that determines the average height and weight of the players.

39. CSC 240 (Blum)39 Average Height and Weight in DataSheet View

40. CSC 240 (Blum)40 Average Height and Weight in SQL View

41. CSC 240 (Blum)41 Create a query that finds the highest weight of a player.

42. CSC 240 (Blum)42 Highest Weight in DataSheet View

43. CSC 240 (Blum)43 Highest Weight in SQL View

44. CSC 240 (Blum)44 Heaviest Player To write a query to determine the heaviest player, we take our previous query to find the maximum weight and use it as a subquery – making it the criterion in the weight field. –It should be in parentheses.

45. CSC 240 (Blum)45 Using maximum weight query as a subquery to find heaviest player.

46. CSC 240 (Blum)46 Heaviest Player Query in DataSheet View

47. CSC 240 (Blum)47 Heaviest Player Query in SQL View

48. CSC 240 (Blum)48 Make a parameterized query to list the players from a given state.

49. CSC 240 (Blum)49 Group the players by the state they are from

50. CSC 240 (Blum)50 Players grouped by state in DataSheet View

51. CSC 240 (Blum)51 Players grouped by state in DataSheet View

52. CSC 240 (Blum)52 Counting the number of players from each state

53. CSC 240 (Blum)53 Counting the players from each state in DataSheet View

54. CSC 240 (Blum)54 Counting the players from each state in SQL View

55. CSC 240 (Blum)55 Finding the maximum count in SQL View

56. CSC 240 (Blum)56 Finding the maximum count in DataSheet View

57. CSC 240 (Blum)57 Finding the state with the maximum count: SQL View (Starting to get hairy)

58. CSC 240 (Blum)58 Finding the state with the maximum count: DatSheet View

59. CSC 240 (Blum)59 Finding the players from the state with the maximum count: SQL View (Even hairier)

60. CSC 240 (Blum)60 Finding the players from the state with the maximum count: DataSheet View