Reading in Data
[1] month year
[3] large_half_dozen large_dozen
[5] extra_large_half_dozen extra_large_dozen
<0 rows> (or 0-length row.names) month year large_half_dozen large_dozen
1 January 2013 178.000 267.500
2 February 2013 178.000 267.500
3 March 2013 178.000 267.500
4 April 2013 178.000 267.500
5 May 2013 178.000 267.500
6 June 2013 178.000 267.500
7 July 2013 178.000 267.500
8 August 2013 178.000 267.500
9 September 2013 178.000 267.500
10 October 2013 178.000 267.500
11 November 2013 178.000 267.500
12 December 2013 178.000 267.500
13 January 2012 174.500 267.500
14 February 2012 174.500 267.500
15 March 2012 174.500 267.500
16 April 2012 174.500 267.500
17 May 2012 173.250 267.500
18 June 2012 173.250 267.500
19 July 2012 173.250 267.500
20 August 2012 173.250 267.500
21 September 2012 173.250 267.500
22 October 2012 173.250 267.500
23 November 2012 178.000 267.500
24 December 2012 178.000 267.500
25 January 2011 174.500 267.500
26 February 2011 174.500 267.500
27 March 2011 174.500 267.500
28 April 2011 174.500 267.500
29 May 2011 174.500 267.500
30 June 2011 174.500 270.000
31 July 2011 174.500 270.000
32 August 2011 174.500 270.000
33 September 2011 174.500 270.000
34 October 2011 174.500 270.000
35 November 2011 174.500 270.000
36 December 2011 174.500 270.000
37 January 2010 174.500 271.500
38 February 2010 174.500 271.500
39 March 2010 174.500 268.000
40 April 2010 174.500 268.000
41 May 2010 174.500 268.000
42 June 2010 174.500 268.000
43 July 2010 174.500 268.000
44 August 2010 174.500 268.000
45 September 2010 174.500 268.000
46 October 2010 174.500 267.500
47 November 2010 174.500 267.500
48 December 2010 174.500 267.500
49 January 2009 174.500 277.500
50 February 2009 174.500 277.500
51 March 2009 174.500 277.500
52 April 2009 174.500 277.500
53 May 2009 174.500 277.500
54 June 2009 174.500 277.500
55 July 2009 174.500 277.500
56 August 2009 174.500 271.500
57 September 2009 174.500 271.500
58 October 2009 174.500 271.500
59 November 2009 174.500 271.500
60 December 2009 174.500 271.500
61 January 2008 132.000 237.000
62 February 2008 132.000 237.000
63 March 2008 132.000 237.000
64 April 2008 132.000 237.000
65 May 2008 132.000 237.000
66 June 2008 174.500 277.500
67 July 2008 174.500 277.500
68 August 2008 174.500 277.500
69 September 2008 174.500 277.500
70 October 2008 174.500 277.500
71 November 2008 174.500 277.500
72 December 2008 174.500 277.500
73 January 2007 128.500 233.500
74 February 2007 131.125 236.125
75 March 2007 132.000 237.000
76 April 2007 132.000 237.000
77 May 2007 132.000 237.000
78 June 2007 132.000 237.000
79 July 2007 132.000 237.000
80 August 2007 132.000 237.000
81 September 2007 132.000 237.000
82 October 2007 132.000 237.000
83 November 2007 132.000 237.000
84 December 2007 132.000 237.000
85 January 2006 128.500 233.500
86 February 2006 128.500 233.500
87 March 2006 128.500 233.500
88 April 2006 128.500 233.500
89 May 2006 128.500 233.500
90 June 2006 128.500 233.500
91 July 2006 128.500 233.500
92 August 2006 128.500 233.500
93 September 2006 128.500 233.500
94 October 2006 128.500 233.500
95 November 2006 128.500 233.500
96 December 2006 128.500 233.500
97 January 2005 128.500 233.500
98 February 2005 128.500 233.500
99 March 2005 128.500 233.500
100 April 2005 128.500 233.500
101 May 2005 128.500 233.500
102 June 2005 128.500 233.500
103 July 2005 128.500 233.500
104 August 2005 128.500 233.500
105 September 2005 128.500 233.500
106 October 2005 128.500 233.500
107 November 2005 128.500 233.500
108 December 2005 128.500 233.500
109 January 2004 126.000 230.000
110 February 2004 128.500 226.250
111 March 2004 131.000 225.000
112 April 2004 131.000 225.000
113 May 2004 131.000 225.000
114 June 2004 133.500 231.375
115 July 2004 133.500 233.500
116 August 2004 133.500 233.500
117 September 2004 129.750 233.500
118 October 2004 128.500 233.500
119 November 2004 128.500 233.500
120 December 2004 128.500 233.500
extra_large_half_dozen extra_large_dozen
1 188.130 290.000
2 188.130 290.000
3 188.130 290.000
4 188.130 290.000
5 188.130 290.000
6 188.130 290.000
7 188.130 290.000
8 188.130 290.000
9 188.130 290.000
10 188.130 290.000
11 188.130 290.000
12 188.130 290.000
13 185.500 285.500
14 185.500 288.500
15 185.500 288.500
16 185.500 288.500
17 185.500 288.500
18 185.500 288.500
19 185.500 288.500
20 185.500 288.500
21 185.500 288.500
22 185.500 288.500
23 188.130 290.000
24 188.130 290.000
25 185.500 285.500
26 185.500 285.500
27 185.500 285.500
28 185.500 285.500
29 185.500 285.500
30 185.500 285.500
31 185.500 285.500
32 185.500 285.500
33 185.500 285.500
34 185.500 285.500
35 185.500 285.500
36 185.500 285.500
37 185.500 285.500
38 185.500 285.500
39 185.500 285.500
40 185.500 285.500
41 185.500 285.500
42 185.500 285.500
43 185.500 285.500
44 185.500 285.500
45 185.500 285.500
46 185.500 285.500
47 185.500 285.500
48 185.500 285.500
49 185.500 285.500
50 185.500 285.500
51 185.500 285.500
52 185.500 285.500
53 185.500 285.500
54 185.500 285.500
55 185.500 285.500
56 185.500 285.500
57 185.500 285.500
58 185.500 285.500
59 185.500 285.500
60 185.500 285.500
61 139.000 245.000
62 139.000 245.000
63 139.000 245.000
64 139.000 245.000
65 139.000 245.000
66 185.500 285.500
67 185.500 285.500
68 185.500 285.500
69 185.500 285.500
70 185.500 285.500
71 185.500 285.500
72 185.500 285.500
73 135.500 241.500
74 138.125 244.125
75 139.000 245.000
76 139.000 245.000
77 139.000 245.000
78 139.000 245.000
79 139.000 245.000
80 139.000 245.000
81 139.000 245.000
82 139.000 245.000
83 139.000 245.000
84 139.000 245.000
85 135.500 241.000
86 135.500 241.000
87 135.500 241.375
88 135.500 241.500
89 135.500 241.500
90 135.500 241.500
91 135.500 241.500
92 135.500 241.500
93 135.500 241.500
94 135.500 241.500
95 135.500 241.500
96 135.500 241.500
97 135.500 241.000
98 135.500 241.000
99 135.500 241.000
100 135.500 241.000
101 135.500 241.000
102 135.500 241.000
103 135.500 241.000
104 135.500 241.000
105 135.500 241.000
106 135.500 241.000
107 135.500 241.000
108 135.500 241.000
109 132.000 230.000
110 134.500 230.000
111 137.000 230.000
112 137.000 234.500
113 137.000 236.000
114 137.000 241.000
115 137.000 241.000
116 137.000 241.000
117 135.875 241.000
118 135.500 241.000
119 135.500 241.000
120 135.500 241.000Text and figures are licensed under Creative Commons Attribution CC BY-NC 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Gundeti (2022, Feb. 9). Data Analytics and Computational Social Science: HW2. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomrahulgdacss601hw2/
BibTeX citation
@misc{gundeti2022hw2,
author = {Gundeti, Rahul},
title = {Data Analytics and Computational Social Science: HW2},
url = {https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomrahulgdacss601hw2/},
year = {2022}
}