How do I create a boxplot & bar chart based on regions? (Need to create regions)

madisongaw — Wed, 11 Nov 2020 21:54:17 GMT

How do I create a boxplot to compare the population Change among the regions (Northeast, Midwest, South, and West) with US Census Bureau definition to create regions: http://en.wikipedia.org/wiki/List_of_regions_of_the_United_States.

Then, how do I create a bar chart to display what percentage of the top 100 cities each region has?

Here is what I have so far:

data Cities;

infile datalines firstobs=2 dlm='09'x dsd truncover;

input

rank2012

city :$30.

state :$30.

estimate2012 :comma12.

census2012 :comma12.

change :percent6.

;

format change percent7.2;

datalines;

Rank2012 City State Estimate2012 Census2010 Change

1 New York New York 8,336,697 8,175,133 1.98%

2 Los Angeles California 3,857,799 3,792,621 1.72%

3 Chicago Illinois 2,714,856 2,695,598 0.71%

4 Houston Texas 2,160,821 2,100,263 2.88%

5 Philadelphia Pennsylvania 1,547,607 1,526,006 1.42%

6 Phoenix Arizona 1,488,750 1,445,632 2.98%

7 San Antonio Texas 1,382,951 1,327,407 4.18%

8 San Diego California 1,338,348 1,307,402 2.37%

9 Dallas Texas 1,241,162 1,197,816 3.62%

10 San Jose California 982,765 945,942 3.89%

11 Austin Texas 842,592 790,390 6.60%

12 Jacksonville Florida 836,507 821,784 1.79%

13 Indianapolis Indiana 834,852 820,445 1.76%

14 San Francisco California 825,863 805,235 2.56%

15 Columbus Ohio 809,798 787,033 2.89%

16 Fort Worth Texas 777,992 741,206 4.96%

17 Charlotte North Carolina 775,202 731,424 5.99%

18 Detroit Michigan 701,475 713,777 (1.72%)

19 El Paso Texas 672,538 649,121 3.61%

20 Memphis Tennessee 655,155 646,889 1.28%

21 Boston Massachusetts 636,479 617,594 3.06%

22 Seattle Washington 634,535 608,660 4.25%

23 Denver Colorado 634,265 600,158 5.68%

24 Washington District of Columbia 632,323 601,723 5.09%

25 Nashville Tennessee 624,496 601,222 3.87%

26 Baltimore Maryland 621,342 620,961 0.06%

27 Louisville Kentucky 605,110 597,337 1.30%

28 Portland Oregon 603,106 583,776 3.31%

29 Oklahoma City Oklahoma 599,199 579,999 3.31%

30 Milwaukee Wisconsin 598,916 594,833 0.69%

31 Las Vegas Nevada 596,424 583,756 2.17%

32 Albuquerque New Mexico 555,417 545,852 1.75%

33 Tucson Arizona 524,295 520,116 0.80%

34 Fresno California 505,882 494,665 2.27%

35 Sacramento California 475,516 466,488 1.94%

36 Long Beach California 467,892 462,257 1.22%

37 Kansas City Missouri 464,310 459,787 0.98%

38 Mesa Arizona 452,084 439,041 2.97%

39 Virginia Beach Virginia 447,021 437,994 2.06%

40 Atlanta Georgia 443,775 420,003 5.66%

41 Colorado Springs Colorado 431,834 416,427 3.70%

42 Raleigh North Carolina 423,179 403,892 4.78%

43 Omaha Nebraska 421,570 408,958 3.08%

44 Miami Florida 413,892 399,457 3.61%

45 Oakland California 400,740 390,724 2.56%

46 Tulsa Oklahoma 393,987 391,906 0.53%

47 Minneapolis Minnesota 392,880 382,578 2.69%

48 Cleveland Ohio 390,928 396,815 (1.48%)

49 Wichita Kansas 385,577 382,368 0.84%

50 Arlington Texas 375,600 365,438 2.78%

51 New Orleans Louisiana 369,250 343,829 7.39%

52 Bakersfield California 358,597 347,483 3.20%

53 Tampa Florida 347,645 335,709 3.56%

54 Honolulu Hawaii 345,610 337,256 2.48%

55 Anaheim California 343,248 336,265 2.08%

56 Aurora Colorado 339,030 325,078 4.29%

57 Santa Ana California 330,920 324,528 1.97%

58 St. Louis Missouri 318,172 319,294 (0.35%)

59 Riverside California 313,673 303,871 3.23%

60 Corpus Christi Texas 312,195 305,215 2.29%

61 Pittsburgh Pennsylvania 306,211 305,704 0.17%

62 Lexington Kentucky 310,573 295,803 4.99%

63 Anchorage Alaska 298,610 291,826 2.32%

64 Stockton California 297,984 291,707 2.15%

65 Cincinnati Ohio 296,550 296,943 (0.13%)

66 Saint Paul Minnesota 290,770 285,068 2.00%

67 Toledo Ohio 284,012 287,208 (1.11%)

68 Newark New Jersey 277,727 277,140 0.21%

69 Greensboro North Carolina 277,080 269,666 2.75%

70 Plano Texas 272,068 259,841 4.71%

71 Henderson Nevada 265,679 257,729 3.08%

72 Lincoln Nebraska 265,404 258,379 2.72%

73 Buffalo New York 259,384 261,310 (0.74%)

74 Fort Wayne Indiana 254,555 253,691 0.34%

75 Jersey City New Jersey 254,441 247,597 2.76%

76 Chula Vista California 252,422 243,916 3.49%

77 Orlando Florida 249,562 238,300 4.73%

78 St. Petersburg Florida 246,541 244,769 0.72%

79 Norfolk Virginia 245,782 242,803 1.23%

80 Chandler Arizona 245,628 236,123 4.03%

81 Laredo Texas 244,731 236,091 3.66%

82 Madison Wisconsin 240,323 233,209 3.05%

83 Durham North Carolina 239,358 228,330 4.83%

84 Lubbock Texas 236,065 229,573 2.83%

85 Winston–Salem North Carolina 234,349 229,617 2.06%

86 Garland Texas 233,564 226,876 2.95%

87 Glendale Arizona 232,143 226,721 2.39%

88 Hialeah Florida 231,941 224,669 3.24%

89 Reno Nevada 231,027 225,221 2.58%

90 Baton Rouge Louisiana 230,058 229,493 0.25%

91 Irvine California 229,985 212,375 8.29%

92 Chesapeake Virginia 228,417 222,209 2.79%

93 Irving Texas 225,427 216,290 4.22%

94 Scottsdale Arizona 223,514 217,385 2.82%

95 North Las Vegas Nevada 223,491 216,961 3.01%

96 Fremont California 221,986 214,089 3.69%

97 Gilbert Arizona 221,140 208,453 6.09%

98 San Bernardino California 213,295 209,924 1.61%

99 Boise Idaho 212,303 205,671 3.22%

100 Birmingham Alabama 212,038 212,237 (0.09%)

;

Re: How do I create a boxplot & bar chart based on regions? (Need to create regions)

ChrisNZ — Fri, 13 Nov 2020 03:47:24 GMT

Your code is not formatted.

Your code doesn't run.

Your expected output isn't clear.

Please try harder 🙂

Re: How do I create a boxplot & bar chart based on regions? (Need to create regions)

Ksharp — Thu, 12 Nov 2020 12:09:32 GMT

Calling @tc @GraphGuy

topic Re: How do I create a boxplot & bar chart based on regions? (Need to create regions) in SAS Programming

How do I create a boxplot & bar chart based on regions? (Need to create regions)

Re: How do I create a boxplot & bar chart based on regions? (Need to create regions)

Re: How do I create a boxplot & bar chart based on regions? (Need to create regions)