-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathapp01.html
More file actions
257 lines (196 loc) · 9.04 KB
/
app01.html
File metadata and controls
257 lines (196 loc) · 9.04 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE html><html xmlns="http://www.w3.org/1999/xhtml" lang="en">
<head>
<meta charset="utf-8"/>
<title>数据 + 设计</title>
<link rel="stylesheet" type="text/css" href="theme/html/html.css"/>
<script src="js/retina.min.js" type="text/javascript"> </script>
<script src="js/jquery.min.js" type="text/javascript"> </script>
<script src="js/data-design.js" type="text/javascript"> </script>
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
</head>
<body data-type="book">
<span class="btn open">打开</span>
<div class="navbar">
<div class="title">
<span class="btn close">关闭</span>
<h1>数据 + 设计</h1>
<h2>对信息准备与可视化的简要介绍</h2>
</div>
<nav data-type="toc" id="idp97216">
<ol>
<li data-type="part">
<a href="titlepage01.html">简介</a>
<ol>
<li data-type="copyright-page">
<a href="copyright-page01.html">版权许可</a>
</li>
<li data-type="preface">
<a href="preface01.html">绪言</a>
</li>
<li data-type="foreword">
<a href="foreword01.html">序</a>
</li>
<li data-type="introduction">
<a href="introduction01.html">怎样使用本书</a>
</li>
</ol>
</li>
<li data-type="part">
<a href="part01.html">数据基础</a>
<ol>
<li data-type="chapter">
<a href="ch01.html">基本数据类型</a>
</li>
<li data-type="chapter">
<a href="ch02.html">关于数据聚合/统计</a>
</li>
</ol>
</li>
<li data-type="part">
<a href="part02.html">数据采集</a>
<ol>
<li data-type="chapter">
<a href="ch03.html">调查数据简介</a>
</li>
<li data-type="chapter">
<a href="ch04.html">调查问题类型</a>
</li>
<li data-type="chapter">
<a href="ch05.html">其他的数据采集方法</a>
</li>
<li data-type="chapter">
<a href="ch06.html">发现外部数据</a>
</li>
</ol>
</li>
<li data-type="part">
<a href="part03.html">让数据就绪</a>
<ol>
<li data-type="chapter">
<a href="ch07.html">数据准备</a>
</li>
<li data-type="chapter">
<a href="ch08.html">数据清理</a>
</li>
<li data-type="chapter">
<a href="ch09.html">数据校对种类</a>
</li>
<li data-type="chapter">
<a href="ch10.html">数据清理的能和不能</a>
</li>
<li data-type="chapter">
<a href="ch11.html">数据转换</a>
</li>
</ol>
</li>
<li data-type="part">
<a href="part04.html">数据可视化</a>
<ol>
<li data-type="chapter">
<a href="ch12.html">决定哪些以及多少数据用于呈现</a>
</li>
<li data-type="chapter">
<a href="ch13.html">图形化调查响应结果</a>
</li>
<li data-type="chapter">
<a href="ch14.html">解析信息图</a>
</li>
<li data-type="chapter">
<a href="ch15.html">色彩、字体、图标的重要性</a>
</li>
<li data-type="chapter">
<a href="ch16.html">打印 Vs. 网页，静态 Vs. 交互</a>
</li>
</ol>
</li>
<li data-type="part">
<a href="part05.html">不要做什么</a>
<ol>
<li data-type="chapter">
<a href="ch17.html">知觉欺骗</a>
</li>
<li data-type="chapter"><a href="ch18.html">常见可视化错误</a>
</li>
</ol>
</li>
<li data-type="part">
<a href="#">总结</a>
<ol>
<li data-type="chapter">
<a href="app01.html">资源</a>
</li>
<li data-type="chapter">
<a href="glossary01.html">术语表</a>
</li>
<li data-type="chapter">
<a href="acknowledgments01.html">贡献者/致谢</a>
</li>
</ol>
</li>
</ol>
</nav>
</div>
<section data-type="appendix" data-pdf-bookmark="Appendix B. Resources" id="idp7252736">
<h1>Resources</h1>
<section data-type="sect1" data-pdf-bookmark="Chapter 3: Intro to Survey Design" id="idp7254624">
<h1>Chapter 3: Intro to Survey Design</h1>
<h2>Online survey sites</h2>
<p>Kwik Surveys, <a href="http://www.kwiksurveys.com">http://www.kwiksurveys.com</a></p>
<p>Free Online Surveys, <a href="http://www.freeonlinesurveys.com">http://www.freeonlinesurveys.com</a></p>
<p>Google Forms, <a href="http://www.google.com/google-d-s/createforms.html">http://www.google.com/google-d-s/createforms.html</a></p>
<p>Survey Gizmo, <a href="http://www.surveygizmo.com">http://www.surveygizmo.com</a></p>
<p>Survey Monkey, <a href="https://www.surveymonkey.com">https://www.surveymonkey.com</a></p>
<p>Survey Planet, <a href="https://www.surveyplanet.com">https://www.surveyplanet.com</a></p>
<h1>Chapter 4: Types of Survey Questions</h1>
<h2>Conducting Surveys</h2>
<p>Dierckx, Didier. “The Case of ‘Likert Scales v. Slider Scales,' <em>Market Research </em>(blog) Checkmarket.com, <a href="http://http://stattrek.com/regression/linear-transformation.aspx#">https://www.checkmarket.com/2012/08/likert_v_sliderscales/</a></p>
<p>Fink, Arlene. <em>How to Conduct Surveys: A Step-by-Step Guide, </em>3rd ed., Thousand Oaks, California: SAGE Publications, Inc., 2006.</p>
<p>Fowler, Floyd J. <em>Survey Research Methods</em>, 5th ed., Thousand Oaks, California: SAGE Publications, Inc., 2014.</p>
<p>Gray, George and Neil Guppy. <em>Successful Surveys: Research Methods and Practice, </em>3rd ed., Scarborough, Ontario: Thomson Nelson, 2003.</p>
<p>“Scaled Questions,” Instructional Assessment Resources, The University of Texas at Austin, <a href="http://http://www.utexas.edu/academic/ctl/assessment/iar/teaching/plan/method/survey/responseScale.pdf">http://www.utexas.edu/academic/ctl/assessment/iar/teaching/plan/method/survey/responseScale.pdf</a></p>
<h1>Chapter 7: Getting Data Ready for Cleaning</h1>
<h2>Splitting delimited text into columns in Excel</h2>
<p>“Split text into different cells,” Microsoft Office Support, <a href="http://office.microsoft.com/en-us/excel-help/split-text-into-different-cells-HA102809804.aspx">http://office.microsoft.com/en-us/excel-help/split-text-into-different-cells-HA102809804.aspx</a></p>
<h2>Splitting strings</h2>
<h3>JavaScript</h3>
<p>“JavaScript String split() Method,” W3Schools, <a href="http://www.w3schools.com/jsref/jsref_split.asp">http://www.w3schools.com/jsref/jsref_split.asp</a></p>
<h3>Visual Basic</h3>
<p>“Split Function (Visual Basic),” Microsoft Developer Network, <a href="http://msdn.microsoft.com/en-us/library/6x627e5f(v=vs.90).aspx">http://msdn.microsoft.com/en-us/library/6x627e5f(v=vs.90).aspx</a></p>
<h2>String Operations in Python</h2>
<p>“Common string operations,” The Python Standard Library, Python Software Foundation, <a href="https://docs.python.org/2/library/string.html">https://docs.python.org/2/library/string.html</a></p>
<h2>Missing Data</h2>
<p>Osborne, Jason W., “Dealing with Missing or Incomplete Data: Debunking the Myth of Emptiness,” Ch 6, Best Practices in Data Cleaning, Los Angeles, CA: SAGE Publications, Inc, 2013:</p>
<h1>Chapter 8: Data Cleaning</h1>
<h2>Spreadsheet software</h2>
<p>“List of spreadsheet software,” Wikipedia, <a href="http://en.wikipedia.org/wiki/List_of_spreadsheet_software">http://en.wikipedia.org/wiki/List_of_spreadsheet_software</a></p>
<h2>Regular Expressions</h2>
<h3>Guides and Testers</h3>
<p>“Regular Expressions - User Guide,” Zytrax, <a href="http://www.zytrax.com/tech/web/regex.htm">http://www.zytrax.com/tech/web/regex.htm</a></p>
<p>RegExr v2.0, <a href="http://www.regexr.com">http://www.regexr.com</a></p>
<h3>JavaScript</h3>
<p>“JavaScript RegExp Reference,” W3Schools, <a href="http://www.w3schools.com/jsref/jsref_obj_regexp.asp">http://www.w3schools.com/jsref/jsref_obj_regexp.asp</a></p>
<h3>Python</h3>
<p>“Regular expression operations,” The Python Standard Library, Python Software Foundation, <a href="https://docs.python.org/2/library/re.html">https://docs.python.org/2/library/re.html</a></p>
<h1>Chapter 10: What Data Cleaning Can and Can’t Catch</h1>
<h2>Data Transformations</h2>
<p>“Transformations to Achieve Linearity,” Stat Trek, <a href="http://stattrek.com/regression/linear-transformation.aspx#">http://stattrek.com/regression/linear-transformation.aspx#</a></p>
</section>
</section>
<div class="navigation">
<ul>
<li id="next_page"><a href="glossary01.html">Next</a></li>
<li id="previous_page"><a href="ch18.html">Previous</a></li>
</ul>
</div>
<script>
var _hmt = _hmt || [];
(function() {
var hm = document.createElement("script");
hm.src = "//hm.baidu.com/hm.js?27111432badf47d1f6260dcd3c815289";
var s = document.getElementsByTagName("script")[0];
s.parentNode.insertBefore(hm, s);
})();
</script>
</body>
</html>