Dataset of Eggs
month year large_half_dozen large_dozen extra_large_half_dozen
1 January 2004 126.0 230.000 132.0
2 February 2004 128.5 226.250 134.5
3 March 2004 131.0 225.000 137.0
4 April 2004 131.0 225.000 137.0
5 May 2004 131.0 225.000 137.0
6 June 2004 133.5 231.375 137.0
extra_large_dozen
1 230.0
2 230.0
3 230.0
4 234.5
5 236.0
6 241.0The month and year is date,the rest of the data are the number of eggs of various sizes.
large_eggs <- select(eggs,"month","year","large_dozen")
large_eggs
month year large_dozen
1 January 2004 230.000
2 February 2004 226.250
3 March 2004 225.000
4 April 2004 225.000
5 May 2004 225.000
6 June 2004 231.375
7 July 2004 233.500
8 August 2004 233.500
9 September 2004 233.500
10 October 2004 233.500
11 November 2004 233.500
12 December 2004 233.500
13 January 2005 233.500
14 February 2005 233.500
15 March 2005 233.500
16 April 2005 233.500
17 May 2005 233.500
18 June 2005 233.500
19 July 2005 233.500
20 August 2005 233.500
21 September 2005 233.500
22 October 2005 233.500
23 November 2005 233.500
24 December 2005 233.500
25 January 2006 233.500
26 February 2006 233.500
27 March 2006 233.500
28 April 2006 233.500
29 May 2006 233.500
30 June 2006 233.500
31 July 2006 233.500
32 August 2006 233.500
33 September 2006 233.500
34 October 2006 233.500
35 November 2006 233.500
36 December 2006 233.500
37 January 2007 233.500
38 February 2007 236.125
39 March 2007 237.000
40 April 2007 237.000
41 May 2007 237.000
42 June 2007 237.000
43 July 2007 237.000
44 August 2007 237.000
45 September 2007 237.000
46 October 2007 237.000
47 November 2007 237.000
48 December 2007 237.000
49 January 2008 237.000
50 February 2008 237.000
51 March 2008 237.000
52 April 2008 237.000
53 May 2008 237.000
54 June 2008 277.500
55 July 2008 277.500
56 August 2008 277.500
57 September 2008 277.500
58 October 2008 277.500
59 November 2008 277.500
60 December 2008 277.500
61 January 2009 277.500
62 February 2009 277.500
63 March 2009 277.500
64 April 2009 277.500
65 May 2009 277.500
66 June 2009 277.500
67 July 2009 277.500
68 August 2009 271.500
69 September 2009 271.500
70 October 2009 271.500
71 November 2009 271.500
72 December 2009 271.500
73 January 2010 271.500
74 February 2010 271.500
75 March 2010 268.000
76 April 2010 268.000
77 May 2010 268.000
78 June 2010 268.000
79 July 2010 268.000
80 August 2010 268.000
81 September 2010 268.000
82 October 2010 267.500
83 November 2010 267.500
84 December 2010 267.500
85 January 2011 267.500
86 February 2011 267.500
87 March 2011 267.500
88 April 2011 267.500
89 May 2011 267.500
90 June 2011 270.000
91 July 2011 270.000
92 August 2011 270.000
93 September 2011 270.000
94 October 2011 270.000
95 November 2011 270.000
96 December 2011 270.000
97 January 2012 267.500
98 February 2012 267.500
99 March 2012 267.500
100 April 2012 267.500
101 May 2012 267.500
102 June 2012 267.500
103 July 2012 267.500
104 August 2012 267.500
105 September 2012 267.500
106 October 2012 267.500
107 November 2012 267.500
108 December 2012 267.500
109 January 2013 267.500
110 February 2013 267.500
111 March 2013 267.500
112 April 2013 267.500
113 May 2013 267.500
114 June 2013 267.500
115 July 2013 267.500
116 August 2013 267.500
117 September 2013 267.500
118 October 2013 267.500
119 November 2013 267.500
120 December 2013 267.500eggs %>%
filter(extra_large_half_dozen+extra_large_dozen > 400) %>%
arrange(desc(extra_large_half_dozen+extra_large_dozen))
month year large_half_dozen large_dozen extra_large_half_dozen
1 November 2012 178.00 267.5 188.13
2 December 2012 178.00 267.5 188.13
3 January 2013 178.00 267.5 188.13
4 February 2013 178.00 267.5 188.13
5 March 2013 178.00 267.5 188.13
6 April 2013 178.00 267.5 188.13
7 May 2013 178.00 267.5 188.13
8 June 2013 178.00 267.5 188.13
9 July 2013 178.00 267.5 188.13
10 August 2013 178.00 267.5 188.13
11 September 2013 178.00 267.5 188.13
12 October 2013 178.00 267.5 188.13
13 November 2013 178.00 267.5 188.13
14 December 2013 178.00 267.5 188.13
15 February 2012 174.50 267.5 185.50
16 March 2012 174.50 267.5 185.50
17 April 2012 174.50 267.5 185.50
18 May 2012 173.25 267.5 185.50
19 June 2012 173.25 267.5 185.50
20 July 2012 173.25 267.5 185.50
21 August 2012 173.25 267.5 185.50
22 September 2012 173.25 267.5 185.50
23 October 2012 173.25 267.5 185.50
24 June 2008 174.50 277.5 185.50
25 July 2008 174.50 277.5 185.50
26 August 2008 174.50 277.5 185.50
27 September 2008 174.50 277.5 185.50
28 October 2008 174.50 277.5 185.50
29 November 2008 174.50 277.5 185.50
30 December 2008 174.50 277.5 185.50
31 January 2009 174.50 277.5 185.50
32 February 2009 174.50 277.5 185.50
33 March 2009 174.50 277.5 185.50
34 April 2009 174.50 277.5 185.50
35 May 2009 174.50 277.5 185.50
36 June 2009 174.50 277.5 185.50
37 July 2009 174.50 277.5 185.50
38 August 2009 174.50 271.5 185.50
39 September 2009 174.50 271.5 185.50
40 October 2009 174.50 271.5 185.50
41 November 2009 174.50 271.5 185.50
42 December 2009 174.50 271.5 185.50
43 January 2010 174.50 271.5 185.50
44 February 2010 174.50 271.5 185.50
45 March 2010 174.50 268.0 185.50
46 April 2010 174.50 268.0 185.50
47 May 2010 174.50 268.0 185.50
48 June 2010 174.50 268.0 185.50
49 July 2010 174.50 268.0 185.50
50 August 2010 174.50 268.0 185.50
51 September 2010 174.50 268.0 185.50
52 October 2010 174.50 267.5 185.50
53 November 2010 174.50 267.5 185.50
54 December 2010 174.50 267.5 185.50
55 January 2011 174.50 267.5 185.50
56 February 2011 174.50 267.5 185.50
57 March 2011 174.50 267.5 185.50
58 April 2011 174.50 267.5 185.50
59 May 2011 174.50 267.5 185.50
60 June 2011 174.50 270.0 185.50
61 July 2011 174.50 270.0 185.50
62 August 2011 174.50 270.0 185.50
63 September 2011 174.50 270.0 185.50
64 October 2011 174.50 270.0 185.50
65 November 2011 174.50 270.0 185.50
66 December 2011 174.50 270.0 185.50
67 January 2012 174.50 267.5 185.50
extra_large_dozen
1 290.0
2 290.0
3 290.0
4 290.0
5 290.0
6 290.0
7 290.0
8 290.0
9 290.0
10 290.0
11 290.0
12 290.0
13 290.0
14 290.0
15 288.5
16 288.5
17 288.5
18 288.5
19 288.5
20 288.5
21 288.5
22 288.5
23 288.5
24 285.5
25 285.5
26 285.5
27 285.5
28 285.5
29 285.5
30 285.5
31 285.5
32 285.5
33 285.5
34 285.5
35 285.5
36 285.5
37 285.5
38 285.5
39 285.5
40 285.5
41 285.5
42 285.5
43 285.5
44 285.5
45 285.5
46 285.5
47 285.5
48 285.5
49 285.5
50 285.5
51 285.5
52 285.5
53 285.5
54 285.5
55 285.5
56 285.5
57 285.5
58 285.5
59 285.5
60 285.5
61 285.5
62 285.5
63 285.5
64 285.5
65 285.5
66 285.5
67 285.5Text 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
Hanyu (2022, May 19). Data Analytics and Computational Social Science: Homework2. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomhanyu901750/
BibTeX citation
@misc{hanyu2022homework2,
author = {Hanyu, },
title = {Data Analytics and Computational Social Science: Homework2},
url = {https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomhanyu901750/},
year = {2022}
}