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timelyportfolio/README.md

Created September 12, 2013 21:26
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README.md

Like a box plot, a quartile plot summarises a distribution with five statistics: the median (the dot); the upper quartile and the maximum value (either end of the upper centre line); and the lower quartile and the minimum value (either end of the lower centre line). However, a quartile plot reduces a box plot's glyphs to one dot and two lines, so it has a larger data-ink ratio.

For more information about quartile plots, see:

  • Tufte, E.R., 2001. The Visual Display of Quantitative Information. 2nd ed. Cheshire, CT, USA: Graphics Press.

Data

Refractive indices of samples of six types of glass, gathered for criminological investigation (source).

API

d3.svg.quartileplot()

Creates a new quartile plot.

quartileplot(selection)

Applies the quartile plot to a selection or transition. The selection must contain an SVG or G element.

quartileplot.domain([values])

If values is specified, sets the quartile plot's input domain to the specified array of numbers. The array must contain two elements: the minimum and maximum values. If values is not specified, returns the current domain or null if no domain has been specified.

quartileplot.duration([duration])

If duration is specified, sets the quartile plot's median circle and centre lines to transition over the specified duration in milliseconds. If duration is not specified, returns the current duration.

quartileplot.height([height])

If height is specified, sets the quartile plot's height. If height is not specified, returns the current height.

quartileplot.radius([radius])

If radius is specified, sets the radius of the quartile plot's median and outlier circles. If radius is not specified, returns the current radius.

quartileplot.whiskers([accessor])

If accessor is specified, sets the function used to compute the quartile plot's whiskers. This function will be passed an array of numbers (in ascending order) from the data bound to the current selection. It should return an array of two elements: the values of the lower and upper whiskers. If accessor is not specified, returns the current whiskers accessor or null if no whiskers accessor has been specified.

quartileplot.y([accessor])

If accessor is specified, sets the function used to access the values from the data bound to the current selection. If accessor is not specified, returns the current accessor function.

Raw
glass.csv
id ri Na Mg Al Si K Ca Ba Fe type
1 1.52101 13.64 4.49 1.10 71.78 0.06 8.75 0.00 0.00 1
2 1.51761 13.89 3.60 1.36 72.73 0.48 7.83 0.00 0.00 1
3 1.51618 13.53 3.55 1.54 72.99 0.39 7.78 0.00 0.00 1
4 1.51766 13.21 3.69 1.29 72.61 0.57 8.22 0.00 0.00 1
5 1.51742 13.27 3.62 1.24 73.08 0.55 8.07 0.00 0.00 1
6 1.51596 12.79 3.61 1.62 72.97 0.64 8.07 0.00 0.26 1
7 1.51743 13.30 3.60 1.14 73.09 0.58 8.17 0.00 0.00 1
8 1.51756 13.15 3.61 1.05 73.24 0.57 8.24 0.00 0.00 1
9 1.51918 14.04 3.58 1.37 72.08 0.56 8.30 0.00 0.00 1
10 1.51755 13.00 3.60 1.36 72.99 0.57 8.40 0.00 0.11 1
11 1.51571 12.72 3.46 1.56 73.20 0.67 8.09 0.00 0.24 1
12 1.51763 12.80 3.66 1.27 73.01 0.60 8.56 0.00 0.00 1
13 1.51589 12.88 3.43 1.40 73.28 0.69 8.05 0.00 0.24 1
14 1.51748 12.86 3.56 1.27 73.21 0.54 8.38 0.00 0.17 1
15 1.51763 12.61 3.59 1.31 73.29 0.58 8.50 0.00 0.00 1
16 1.51761 12.81 3.54 1.23 73.24 0.58 8.39 0.00 0.00 1
17 1.51784 12.68 3.67 1.16 73.11 0.61 8.70 0.00 0.00 1
18 1.52196 14.36 3.85 0.89 71.36 0.15 9.15 0.00 0.00 1
19 1.51911 13.90 3.73 1.18 72.12 0.06 8.89 0.00 0.00 1
20 1.51735 13.02 3.54 1.69 72.73 0.54 8.44 0.00 0.07 1
21 1.51750 12.82 3.55 1.49 72.75 0.54 8.52 0.00 0.19 1
22 1.51966 14.77 3.75 0.29 72.02 0.03 9.00 0.00 0.00 1
23 1.51736 12.78 3.62 1.29 72.79 0.59 8.70 0.00 0.00 1
24 1.51751 12.81 3.57 1.35 73.02 0.62 8.59 0.00 0.00 1
25 1.51720 13.38 3.50 1.15 72.85 0.50 8.43 0.00 0.00 1
26 1.51764 12.98 3.54 1.21 73.00 0.65 8.53 0.00 0.00 1
27 1.51793 13.21 3.48 1.41 72.64 0.59 8.43 0.00 0.00 1
28 1.51721 12.87 3.48 1.33 73.04 0.56 8.43 0.00 0.00 1
29 1.51768 12.56 3.52 1.43 73.15 0.57 8.54 0.00 0.00 1
30 1.51784 13.08 3.49 1.28 72.86 0.60 8.49 0.00 0.00 1
31 1.51768 12.65 3.56 1.30 73.08 0.61 8.69 0.00 0.14 1
32 1.51747 12.84 3.50 1.14 73.27 0.56 8.55 0.00 0.00 1
33 1.51775 12.85 3.48 1.23 72.97 0.61 8.56 0.09 0.22 1
34 1.51753 12.57 3.47 1.38 73.39 0.60 8.55 0.00 0.06 1
35 1.51783 12.69 3.54 1.34 72.95 0.57 8.75 0.00 0.00 1
36 1.51567 13.29 3.45 1.21 72.74 0.56 8.57 0.00 0.00 1
37 1.51909 13.89 3.53 1.32 71.81 0.51 8.78 0.11 0.00 1
38 1.51797 12.74 3.48 1.35 72.96 0.64 8.68 0.00 0.00 1
39 1.52213 14.21 3.82 0.47 71.77 0.11 9.57 0.00 0.00 1
40 1.52213 14.21 3.82 0.47 71.77 0.11 9.57 0.00 0.00 1
41 1.51793 12.79 3.50 1.12 73.03 0.64 8.77 0.00 0.00 1
42 1.51755 12.71 3.42 1.20 73.20 0.59 8.64 0.00 0.00 1
43 1.51779 13.21 3.39 1.33 72.76 0.59 8.59 0.00 0.00 1
44 1.52210 13.73 3.84 0.72 71.76 0.17 9.74 0.00 0.00 1
45 1.51786 12.73 3.43 1.19 72.95 0.62 8.76 0.00 0.30 1
46 1.51900 13.49 3.48 1.35 71.95 0.55 9.00 0.00 0.00 1
47 1.51869 13.19 3.37 1.18 72.72 0.57 8.83 0.00 0.16 1
48 1.52667 13.99 3.70 0.71 71.57 0.02 9.82 0.00 0.10 1
49 1.52223 13.21 3.77 0.79 71.99 0.13 10.02 0.00 0.00 1
50 1.51898 13.58 3.35 1.23 72.08 0.59 8.91 0.00 0.00 1
51 1.52320 13.72 3.72 0.51 71.75 0.09 10.06 0.00 0.16 1
52 1.51926 13.20 3.33 1.28 72.36 0.60 9.14 0.00 0.11 1
53 1.51808 13.43 2.87 1.19 72.84 0.55 9.03 0.00 0.00 1
54 1.51837 13.14 2.84 1.28 72.85 0.55 9.07 0.00 0.00 1
55 1.51778 13.21 2.81 1.29 72.98 0.51 9.02 0.00 0.09 1
56 1.51769 12.45 2.71 1.29 73.70 0.56 9.06 0.00 0.24 1
57 1.51215 12.99 3.47 1.12 72.98 0.62 8.35 0.00 0.31 1
58 1.51824 12.87 3.48 1.29 72.95 0.60 8.43 0.00 0.00 1
59 1.51754 13.48 3.74 1.17 72.99 0.59 8.03 0.00 0.00 1
60 1.51754 13.39 3.66 1.19 72.79 0.57 8.27 0.00 0.11 1
61 1.51905 13.60 3.62 1.11 72.64 0.14 8.76 0.00 0.00 1
62 1.51977 13.81 3.58 1.32 71.72 0.12 8.67 0.69 0.00 1
63 1.52172 13.51 3.86 0.88 71.79 0.23 9.54 0.00 0.11 1
64 1.52227 14.17 3.81 0.78 71.35 0.00 9.69 0.00 0.00 1
65 1.52172 13.48 3.74 0.90 72.01 0.18 9.61 0.00 0.07 1
66 1.52099 13.69 3.59 1.12 71.96 0.09 9.40 0.00 0.00 1
67 1.52152 13.05 3.65 0.87 72.22 0.19 9.85 0.00 0.17 1
68 1.52152 13.05 3.65 0.87 72.32 0.19 9.85 0.00 0.17 1
69 1.52152 13.12 3.58 0.90 72.20 0.23 9.82 0.00 0.16 1
70 1.52300 13.31 3.58 0.82 71.99 0.12 10.17 0.00 0.03 1
71 1.51574 14.86 3.67 1.74 71.87 0.16 7.36 0.00 0.12 2
72 1.51848 13.64 3.87 1.27 71.96 0.54 8.32 0.00 0.32 2
73 1.51593 13.09 3.59 1.52 73.10 0.67 7.83 0.00 0.00 2
74 1.51631 13.34 3.57 1.57 72.87 0.61 7.89 0.00 0.00 2
75 1.51596 13.02 3.56 1.54 73.11 0.72 7.90 0.00 0.00 2
76 1.51590 13.02 3.58 1.51 73.12 0.69 7.96 0.00 0.00 2
77 1.51645 13.44 3.61 1.54 72.39 0.66 8.03 0.00 0.00 2
78 1.51627 13.00 3.58 1.54 72.83 0.61 8.04 0.00 0.00 2
79 1.51613 13.92 3.52 1.25 72.88 0.37 7.94 0.00 0.14 2
80 1.51590 12.82 3.52 1.90 72.86 0.69 7.97 0.00 0.00 2
81 1.51592 12.86 3.52 2.12 72.66 0.69 7.97 0.00 0.00 2
82 1.51593 13.25 3.45 1.43 73.17 0.61 7.86 0.00 0.00 2
83 1.51646 13.41 3.55 1.25 72.81 0.68 8.10 0.00 0.00 2
84 1.51594 13.09 3.52 1.55 72.87 0.68 8.05 0.00 0.09 2
85 1.51409 14.25 3.09 2.08 72.28 1.10 7.08 0.00 0.00 2
86 1.51625 13.36 3.58 1.49 72.72 0.45 8.21 0.00 0.00 2
87 1.51569 13.24 3.49 1.47 73.25 0.38 8.03 0.00 0.00 2
88 1.51645 13.40 3.49 1.52 72.65 0.67 8.08 0.00 0.10 2
89 1.51618 13.01 3.50 1.48 72.89 0.60 8.12 0.00 0.00 2
90 1.51640 12.55 3.48 1.87 73.23 0.63 8.08 0.00 0.09 2
91 1.51841 12.93 3.74 1.11 72.28 0.64 8.96 0.00 0.22 2
92 1.51605 12.90 3.44 1.45 73.06 0.44 8.27 0.00 0.00 2
93 1.51588 13.12 3.41 1.58 73.26 0.07 8.39 0.00 0.19 2
94 1.51590 13.24 3.34 1.47 73.10 0.39 8.22 0.00 0.00 2
95 1.51629 12.71 3.33 1.49 73.28 0.67 8.24 0.00 0.00 2
96 1.51860 13.36 3.43 1.43 72.26 0.51 8.60 0.00 0.00 2
97 1.51841 13.02 3.62 1.06 72.34 0.64 9.13 0.00 0.15 2
98 1.51743 12.20 3.25 1.16 73.55 0.62 8.90 0.00 0.24 2
99 1.51689 12.67 2.88 1.71 73.21 0.73 8.54 0.00 0.00 2
100 1.51811 12.96 2.96 1.43 72.92 0.60 8.79 0.14 0.00 2
101 1.51655 12.75 2.85 1.44 73.27 0.57 8.79 0.11 0.22 2
102 1.51730 12.35 2.72 1.63 72.87 0.70 9.23 0.00 0.00 2
103 1.51820 12.62 2.76 0.83 73.81 0.35 9.42 0.00 0.20 2
104 1.52725 13.80 3.15 0.66 70.57 0.08 11.64 0.00 0.00 2
105 1.52410 13.83 2.90 1.17 71.15 0.08 10.79 0.00 0.00 2
106 1.52475 11.45 0.00 1.88 72.19 0.81 13.24 0.00 0.34 2
107 1.53125 10.73 0.00 2.10 69.81 0.58 13.30 3.15 0.28 2
108 1.53393 12.30 0.00 1.00 70.16 0.12 16.19 0.00 0.24 2
109 1.52222 14.43 0.00 1.00 72.67 0.10 11.52 0.00 0.08 2
110 1.51818 13.72 0.00 0.56 74.45 0.00 10.99 0.00 0.00 2
111 1.52664 11.23 0.00 0.77 73.21 0.00 14.68 0.00 0.00 2
112 1.52739 11.02 0.00 0.75 73.08 0.00 14.96 0.00 0.00 2
113 1.52777 12.64 0.00 0.67 72.02 0.06 14.40 0.00 0.00 2
114 1.51892 13.46 3.83 1.26 72.55 0.57 8.21 0.00 0.14 2
115 1.51847 13.10 3.97 1.19 72.44 0.60 8.43 0.00 0.00 2
116 1.51846 13.41 3.89 1.33 72.38 0.51 8.28 0.00 0.00 2
117 1.51829 13.24 3.90 1.41 72.33 0.55 8.31 0.00 0.10 2
118 1.51708 13.72 3.68 1.81 72.06 0.64 7.88 0.00 0.00 2
119 1.51673 13.30 3.64 1.53 72.53 0.65 8.03 0.00 0.29 2
120 1.51652 13.56 3.57 1.47 72.45 0.64 7.96 0.00 0.00 2
121 1.51844 13.25 3.76 1.32 72.40 0.58 8.42 0.00 0.00 2
122 1.51663 12.93 3.54 1.62 72.96 0.64 8.03 0.00 0.21 2
123 1.51687 13.23 3.54 1.48 72.84 0.56 8.10 0.00 0.00 2
124 1.51707 13.48 3.48 1.71 72.52 0.62 7.99 0.00 0.00 2
125 1.52177 13.20 3.68 1.15 72.75 0.54 8.52 0.00 0.00 2
126 1.51872 12.93 3.66 1.56 72.51 0.58 8.55 0.00 0.12 2
127 1.51667 12.94 3.61 1.26 72.75 0.56 8.60 0.00 0.00 2
128 1.52081 13.78 2.28 1.43 71.99 0.49 9.85 0.00 0.17 2
129 1.52068 13.55 2.09 1.67 72.18 0.53 9.57 0.27 0.17 2
130 1.52020 13.98 1.35 1.63 71.76 0.39 10.56 0.00 0.18 2
131 1.52177 13.75 1.01 1.36 72.19 0.33 11.14 0.00 0.00 2
132 1.52614 13.70 0.00 1.36 71.24 0.19 13.44 0.00 0.10 2
133 1.51813 13.43 3.98 1.18 72.49 0.58 8.15 0.00 0.00 2
134 1.51800 13.71 3.93 1.54 71.81 0.54 8.21 0.00 0.15 2
135 1.51811 13.33 3.85 1.25 72.78 0.52 8.12 0.00 0.00 2
136 1.51789 13.19 3.90 1.30 72.33 0.55 8.44 0.00 0.28 2
137 1.51806 13.00 3.80 1.08 73.07 0.56 8.38 0.00 0.12 2
138 1.51711 12.89 3.62 1.57 72.96 0.61 8.11 0.00 0.00 2
139 1.51674 12.79 3.52 1.54 73.36 0.66 7.90 0.00 0.00 2
140 1.51674 12.87 3.56 1.64 73.14 0.65 7.99 0.00 0.00 2
141 1.51690 13.33 3.54 1.61 72.54 0.68 8.11 0.00 0.00 2
142 1.51851 13.20 3.63 1.07 72.83 0.57 8.41 0.09 0.17 2
143 1.51662 12.85 3.51 1.44 73.01 0.68 8.23 0.06 0.25 2
144 1.51709 13.00 3.47 1.79 72.72 0.66 8.18 0.00 0.00 2
145 1.51660 12.99 3.18 1.23 72.97 0.58 8.81 0.00 0.24 2
146 1.51839 12.85 3.67 1.24 72.57 0.62 8.68 0.00 0.35 2
147 1.51769 13.65 3.66 1.11 72.77 0.11 8.60 0.00 0.00 3
148 1.51610 13.33 3.53 1.34 72.67 0.56 8.33 0.00 0.00 3
149 1.51670 13.24 3.57 1.38 72.70 0.56 8.44 0.00 0.10 3
150 1.51643 12.16 3.52 1.35 72.89 0.57 8.53 0.00 0.00 3
151 1.51665 13.14 3.45 1.76 72.48 0.60 8.38 0.00 0.17 3
152 1.52127 14.32 3.90 0.83 71.50 0.00 9.49 0.00 0.00 3
153 1.51779 13.64 3.65 0.65 73.00 0.06 8.93 0.00 0.00 3
154 1.51610 13.42 3.40 1.22 72.69 0.59 8.32 0.00 0.00 3
155 1.51694 12.86 3.58 1.31 72.61 0.61 8.79 0.00 0.00 3
156 1.51646 13.04 3.40 1.26 73.01 0.52 8.58 0.00 0.00 3
157 1.51655 13.41 3.39 1.28 72.64 0.52 8.65 0.00 0.00 3
158 1.52121 14.03 3.76 0.58 71.79 0.11 9.65 0.00 0.00 3
159 1.51776 13.53 3.41 1.52 72.04 0.58 8.79 0.00 0.00 3
160 1.51796 13.50 3.36 1.63 71.94 0.57 8.81 0.00 0.09 3
161 1.51832 13.33 3.34 1.54 72.14 0.56 8.99 0.00 0.00 3
162 1.51934 13.64 3.54 0.75 72.65 0.16 8.89 0.15 0.24 3
163 1.52211 14.19 3.78 0.91 71.36 0.23 9.14 0.00 0.37 3
164 1.51514 14.01 2.68 3.50 69.89 1.68 5.87 2.20 0.00 5
165 1.51915 12.73 1.85 1.86 72.69 0.60 10.09 0.00 0.00 5
166 1.52171 11.56 1.88 1.56 72.86 0.47 11.41 0.00 0.00 5
167 1.52151 11.03 1.71 1.56 73.44 0.58 11.62 0.00 0.00 5
168 1.51969 12.64 0.00 1.65 73.75 0.38 11.53 0.00 0.00 5
169 1.51666 12.86 0.00 1.83 73.88 0.97 10.17 0.00 0.00 5
170 1.51994 13.27 0.00 1.76 73.03 0.47 11.32 0.00 0.00 5
171 1.52369 13.44 0.00 1.58 72.22 0.32 12.24 0.00 0.00 5
172 1.51316 13.02 0.00 3.04 70.48 6.21 6.96 0.00 0.00 5
173 1.51321 13.00 0.00 3.02 70.70 6.21 6.93 0.00 0.00 5
174 1.52043 13.38 0.00 1.40 72.25 0.33 12.50 0.00 0.00 5
175 1.52058 12.85 1.61 2.17 72.18 0.76 9.70 0.24 0.51 5
176 1.52119 12.97 0.33 1.51 73.39 0.13 11.27 0.00 0.28 5
177 1.51905 14.00 2.39 1.56 72.37 0.00 9.57 0.00 0.00 6
178 1.51937 13.79 2.41 1.19 72.76 0.00 9.77 0.00 0.00 6
179 1.51829 14.46 2.24 1.62 72.38 0.00 9.26 0.00 0.00 6
180 1.51852 14.09 2.19 1.66 72.67 0.00 9.32 0.00 0.00 6
181 1.51299 14.40 1.74 1.54 74.55 0.00 7.59 0.00 0.00 6
182 1.51888 14.99 0.78 1.74 72.50 0.00 9.95 0.00 0.00 6
183 1.51916 14.15 0.00 2.09 72.74 0.00 10.88 0.00 0.00 6
184 1.51969 14.56 0.00 0.56 73.48 0.00 11.22 0.00 0.00 6
185 1.51115 17.38 0.00 0.34 75.41 0.00 6.65 0.00 0.00 6
186 1.51131 13.69 3.20 1.81 72.81 1.76 5.43 1.19 0.00 7
187 1.51838 14.32 3.26 2.22 71.25 1.46 5.79 1.63 0.00 7
188 1.52315 13.44 3.34 1.23 72.38 0.60 8.83 0.00 0.00 7
189 1.52247 14.86 2.20 2.06 70.26 0.76 9.76 0.00 0.00 7
190 1.52365 15.79 1.83 1.31 70.43 0.31 8.61 1.68 0.00 7
191 1.51613 13.88 1.78 1.79 73.10 0.00 8.67 0.76 0.00 7
192 1.51602 14.85 0.00 2.38 73.28 0.00 8.76 0.64 0.09 7
193 1.51623 14.20 0.00 2.79 73.46 0.04 9.04 0.40 0.09 7
194 1.51719 14.75 0.00 2.00 73.02 0.00 8.53 1.59 0.08 7
195 1.51683 14.56 0.00 1.98 73.29 0.00 8.52 1.57 0.07 7
196 1.51545 14.14 0.00 2.68 73.39 0.08 9.07 0.61 0.05 7
197 1.51556 13.87 0.00 2.54 73.23 0.14 9.41 0.81 0.01 7
198 1.51727 14.70 0.00 2.34 73.28 0.00 8.95 0.66 0.00 7
199 1.51531 14.38 0.00 2.66 73.10 0.04 9.08 0.64 0.00 7
200 1.51609 15.01 0.00 2.51 73.05 0.05 8.83 0.53 0.00 7
201 1.51508 15.15 0.00 2.25 73.50 0.00 8.34 0.63 0.00 7
202 1.51653 11.95 0.00 1.19 75.18 2.70 8.93 0.00 0.00 7
203 1.51514 14.85 0.00 2.42 73.72 0.00 8.39 0.56 0.00 7
204 1.51658 14.80 0.00 1.99 73.11 0.00 8.28 1.71 0.00 7
205 1.51617 14.95 0.00 2.27 73.30 0.00 8.71 0.67 0.00 7
206 1.51732 14.95 0.00 1.80 72.99 0.00 8.61 1.55 0.00 7
207 1.51645 14.94 0.00 1.87 73.11 0.00 8.67 1.38 0.00 7
208 1.51831 14.39 0.00 1.82 72.86 1.41 6.47 2.88 0.00 7
209 1.51640 14.37 0.00 2.74 72.85 0.00 9.45 0.54 0.00 7
210 1.51623 14.14 0.00 2.88 72.61 0.08 9.18 1.06 0.00 7
211 1.51685 14.92 0.00 1.99 73.06 0.00 8.40 1.59 0.00 7
212 1.52065 14.36 0.00 2.02 73.42 0.00 8.44 1.64 0.00 7
213 1.51651 14.38 0.00 1.94 73.61 0.00 8.48 1.57 0.00 7
214 1.51711 14.23 0.00 2.08 73.36 0.00 8.62 1.67 0.00 7
Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<link rel="stylesheet" type="text/css"
href="http://fonts.googleapis.com/css?family=Source+Sans+Pro">
<style>
#quartileplot {
position: absolute;
top: 0;
left: 0;
}
#resample {
background: white;
border: 1px solid lightgrey;
color: grey;
cursor: pointer;
font-family: "Source Sans Pro", sans-serif;
font-size: 10px;
padding: 4px;
position: absolute;
top: 310px;
left: 10px;
}
#resample:hover {
background: lightgrey;
}
.center {
shape-rendering: crispEdges;
stroke: grey;
}
.median {
fill: grey;
}
.outlier {
fill: lightgrey;
}
.axis line, .axis path {
fill: none;
shape-rendering: crispEdges;
stroke: lightgrey;
}
.axis text {
fill: grey;
font-family: "Source Sans Pro", sans-serif;
font-size: 10px;
}
</style>
<body>
<div id="quartileplot"></div>
<input id="resample" type="button" value="Resample">
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="quartileplot.js"></script>
<script>
var margin = {top: 10, right: 10, bottom: 20, left: 40},
width = 500 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var svg = d3.select("#quartileplot").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x = d3.scale.ordinal()
.rangePoints([0, width], 1);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x);
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
// glass identification data
// http://archive.ics.uci.edu/ml/machine-learning-databases/glass/
d3.csv("glass.csv", function(error, data) {
var types = d3.map();
types.set("1", "Building (FP)");
types.set("2", "Building (NFP)");
types.set("3", "Vehicle (FP)");
types.set("4", "Vehicle (NFP)"); // none in data
types.set("5", "Containers");
types.set("6", "Tableware");
types.set("7", "Headlamps");
data.forEach(function(d) {
d.ri = +d.ri;
d.type = types.get(d.type);
});
var dataByType = d3.nest()
.key(function(d){ return d.type; })
.entries(data);
x.domain(dataByType.map(function(d){ return d.key; }));
y.domain(d3.extent(data, function(d){ return d.ri; }));
var quartileplot = d3.svg.quartileplot()
.domain(y.domain())
.height(height)
.whiskers(whiskers(2))
.y(accessor);
// The accessor function returns a sample of records for each type of glass.
// We do this only to demonstrate that quartile plots can be transitioned.
function accessor(d) {
return d.values.map(function(d) {
return d.ri;
}).filter(function() {
return Math.random() < 0.75;
});
}
svg.selectAll(".quartileplot")
.data(dataByType)
.enter().append("g")
.attr("class", "quartileplot")
.attr("transform", function(d){ return "translate(" + x(d.key) + ")"; })
.call(quartileplot);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
d3.select("#resample").on("click", resample);
function resample() {
d3.selectAll(".quartileplot").call(quartileplot);
}
});
// Compute a quartile plot's whiskers in terms of its inter-quartile range.
// Returns an array of two elements: the values of the lower and upper whiskers.
function whiskers(k) {
return function(data) {
var q1 = d3.quantile(data, 0.25),
q2 = d3.quantile(data, 0.5),
q3 = d3.quantile(data, 0.75),
iqr = q3 - q1,
i = 0,
j = data.length - 1;
while (data[i] < q2 - k * iqr) {
i += 1;
}
while (data[j] > q2 + k * iqr) {
j -= 1;
}
return [data[i], data[j]];
}
}
</script>
</body>
Raw
quartileplot.js
// Iain Dillingham, <iain@dillingham.me.uk>
d3.svg.quartileplot = function() {
var domain = null,
duration = 750,
height = 0,
radius = 2,
whiskersAccessor = null,
yAccessor = function(d){ return d; },
yScale = d3.scale.linear();
function quartileplot(selection) {
selection.each(function(datum, index) {
var element = d3.select(this),
data = yAccessor(datum).map(Number).sort(d3.ascending),
q1 = d3.quantile(data, 0.25),
q2 = d3.quantile(data, 0.5),
q3 = d3.quantile(data, 0.75),
min = data[0],
max = data[data.length - 1],
whiskers = whiskersAccessor ? whiskersAccessor.call(this, data) : [min, max];
yScale
.domain(domain ? domain.call(this) : [min, max])
.range([height, 0]);
// The first time this code is executed there won't be a circle.median for
// the current quartile plot so we enter it. However, the second time it
// is executed there will be a circle.median so we update it. This is a
// compact way of determining which selection (enter or update) is
// required.
var median = element.selectAll(".median").data([q2]);
median.enter().append("circle")
.attr("class", "median")
.attr("cx", 0)
.attr("cy", yScale)
.attr("r", radius);
median.transition()
.duration(duration)
.attr("cy", yScale);
// draw lower section of center line downwards from median
var lower = element.selectAll(".lower").data([ [q1, whiskers[0]] ]);
lower.enter().append("line")
.attr("class", "center centre lower")
.attr("x1", 0)
.attr("y1", function(d){ return yScale(d[1]); })
.attr("x2", 0)
.attr("y2", function(d){ return yScale(d[0]); });
lower.transition()
.duration(duration)
.attr("y1", function(d){ return yScale(d[1]); })
.attr("y2", function(d){ return yScale(d[0]); });
// draw upper section of center line upwards from median
var upper = element.selectAll(".upper").data([ [q3, whiskers[1]] ]);
upper.enter().append("line")
.attr("class", "center centre upper")
.attr("x1", 0)
.attr("y1", function(d){ return yScale(d[1]); })
.attr("x2", 0)
.attr("y2", function(d){ return yScale(d[0]); });
upper.transition()
.duration(duration)
.attr("y1", function(d){ return yScale(d[1]); })
.attr("y2", function(d){ return yScale(d[0]); });
// We fade out old outliers before fading in new outliers to make it clear
// that the circle representing an outlier on the old quartile plot isn't
// the same as the circle representing an outlier on the new quartile
// plot. Consequently, we don't need to exit outliers.
element.selectAll(".outlier").transition()
.duration(duration)
.style("opacity", 1e-6)
.remove();
element.selectAll(".outlier")
.data(data.filter(function(d){ return d < whiskers[0] || d > whiskers[1]; }))
.enter().append("circle")
.attr("class", "outlier")
.attr("cx", 0)
.attr("cy", yScale)
.attr("r", radius)
.style("opacity", 1e-6)
.transition()
.duration(duration)
.style("opacity", 1);
});
}
quartileplot.domain = function(_) {
if (!arguments.length) return domain ? domain.call(this) : domain;
domain = d3.functor(_);
return quartileplot;
};
quartileplot.duration = function(_) {
if (!arguments.length) return duration;
duration = _;
return quartileplot;
};
quartileplot.height = function(_) {
if (!arguments.length) return height;
height = _;
return quartileplot;
};
quartileplot.radius = function(_) {
if (!arguments.length) return radius;
radius = _;
return quartileplot;
};
quartileplot.whiskers = function(_) {
if (!arguments.length) return whiskersAccessor;
whiskersAccessor = _;
return quartileplot;
};
quartileplot.y = function(_) {
if (!arguments.length) return yAccessor;
yAccessor = _;
return quartileplot;
};
return quartileplot;
}
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