-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy pathindex.html
212 lines (210 loc) · 13.8 KB
/
index.html
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
<!DOCTYPE html>
<html>
<script type="text/javascript" src="http://data-people.cs.illinois.edu/papers.json"></script>
<script type="text/javascript" src="display_papers.js" style=""></script>
<script src="https://code.jquery.com/jquery-3.3.1.slim.min.js" integrity="sha384-q8i/X+965DzO0rT7abK41JStQIAqVgRVzpbzo5smXKp4YfRvH+8abtTE1Pi6jizo" crossorigin="anonymous"></script>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css" type="text/css">
<!-- Latest compiled and minified CSS -->
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
<link rel="stylesheet" href="theme.css" type="text/css">
</head>
<body>
<nav class="navbar navbar-expand-lg navbar-dark bg-dark" style="padding-bottom: 0px;padding-top: 0px;margin-bottom: 0px;">
<div class="container"> <a class="navbar-brand" style="height: 20px;" href="#">
<!-- <i class="fa d-inline fa-lg fa-circle-o"></i> -->
<b>zenvisage: A System for Effortless Visual Exploration of Large Datasets</b>
</a> <button class="navbar-toggler navbar-toggler-right border-0" type="button" data-toggle="collapse" data-target="#navbar11">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbar11">
<ul class="navbar-nav ml-auto">
<li class="nav-item"> <a class="nav-link" href="#about">About</a> </li>
<li class="nav-item"> <a class="nav-link" href="#features">Features</a> </li>
<li class="nav-item"> <a class="nav-link" href="#usecase">Use Cases</a> </li>
<li class="nav-item"> <a class="nav-link" href="#publications">Publications</a> </li>
</ul> <a class="btn btn-primary navbar-btn ml-md-2" href="#contact">Contact us</a>
</div>
</div>
</nav>
<a name="about"></a>
<div class="py-5 text-center" style="background-image: url('https://static.pingendo.com/cover-bubble-dark.svg');background-size:cover;">
<div class="container">
<div class="row">
<div class="bg-white p-5 mx-auto col-md-12 col-10" style="padding-left: 1rem !important;padding-right: 1rem !important;">
<!-- <p class="mb-3 lead" contenteditable="true">A System for Effortless Visual Exploration of Large Datasets</p> -->
<h4 class="" style="">Do you have large amounts of data but struggle to make sense of them?</h4>
<h4 class="" >Still generating thousands of visualizations manually and browsing through each one at a time? </h4>
<h4 class="">What if you could directly skip through this tedious process and get to the insights in your data directly? </h4>
<h3 class="display-3"><img style="width: 170px;" src="images/zenvisage01cropped.png"></img><br></h3>
<b>
<h4 class="" style=""><b> Zenvisage fast-forwards users to desired insights by automatically identifying and recommending interesting visualizations. </b></h4>
<h4><b>You specify at a high-level what you are looking for, and the system does the rest!</b></h4>
</b>
<br>
<div>
<a class="btn btn-outline-primary" href="https://github.com/zenvisage/zenvisage">
<span class="fa fa-github"></span> Get Started
</a>
<a class="btn btn-outline-primary" href="http://datapeople.cs.illinois.edu:8080/">
<span class="fa fa-desktop"></span> Live Demo
</a>
<a class="btn btn-outline-primary" href="https://github.com/zenvisage/zenvisage/wiki">
<span class="glyphicon glyphicon-book" aria-hidden="true"></span> Documentation
</a>
</div>
</div>
</div>
</div>
</div>
<div class="text-center py-5">
<a name="features"></a>
<div class="container">
<div class="row">
<div class="col-md-12">
<h1><b>Key Features</b></h1>
</div>
</div>
<div class="row d-flex justify-content-between">
<div class="col-md-4 col-lg-3 p-4 p-4nlr"> <img class="img-fluid d-block" src="demo/sketch_demo.gif" width="1500" style="max-width: 57%;margin-left: 20%;">
<h4 class="my-3"> <b>Pattern Sketching</b></h4>
<p class="text-left" style="width: 90%;margin-left: 5%">In Zenvisage, you can look for visualizations of interest by sketching the desired pattern on the querying canvas. For example, searching for cities with housing prices that rises at the beginning of the year then drops in the later part of the year.</p>
</div>
<div class="col-md-4 col-lg-3 p-4 p-4nlr"> <img class="img-fluid d-block" src="demo/dragNdrop_demo.gif" width="1500" style="max-width: 57%;margin-left: 20%;">
<h4 class="my-3"> <b>Drag-and-Drop</b></h4>
<p class="text-left" style="width: 90%;margin-left: 5%">You can also search for visualizations by dragging and dropping a visualization into the query canvas. For example, you can look for other cities that have a similar housing pattern to New York City.</p>
</div>
<div class="col-md-4 col-lg-3 p-4 p-4nlr"> <img class="img-fluid d-block" src="demo/browse_demo.gif" width="1500" style="margin-left: -5%;">
<h4 class="my-3"> <b>Rank and Browse</b><br></h4>
<p class="text-left" style="width: 90%;margin-left: 5%">Given a queried pattern, Zenvisage displays a ranked list of visualizations based on how similar the visualization is to the queried pattern. We also recommend representative trends and outliers to highlight the different types of patterns in the dataset.
</p>
</div>
</div>
<div class="row" style="margin-top: -20px;z-index: 999;">
<a class="btn btn-primary" href="https://github.com/zenvisage/zenvisage/wiki/Functionalities-and-Options" style="margin-left: 50% !important;z-index:999">Learn More</a>
</div>
</div>
</div>
<div class="py-5">
<div class="container">
<div class="row">
<div class="text-center mx-auto col-md-12">
<div class="row">
</div>
<a name="usecase"></a>
<h1><b>Real-World Use Cases</b></h1>
<div class="text-left mx-auto col-md-12">
<h5> Zenvisage has been developed in close collaboration with a number of users who have large datasets and a pressing need for automated data exploration. Our participatory design process for these use cases is detailed in <a href="https://arxiv.org/abs/1710.00763">this</a> paper. Examples include:</h5>
<div class="row">
<div class="col-lg-4 col-md-4 p-4 text-center" style="margin-bottom: -10px;"> <img src="images/matsci.png" height="80px"></img>
<p class="mb-1"> <b>Material Science Battery Discovery</b></p>
<p class="mb-3 text-left"> Using dynamic classes, scientists can compare characteristics from different data classes to find a solvent datapoint that satisfies desirable properties, such as high-voltage or low solubility. By browsing through patterns in different data classes, they can also study the overall tradeoffs and relationships between data attributes.</p>
</div>
<div class="col-lg-4 col-md-4 p-4 text-center"> <img src="images/astro.png" height="80px"></img>
<p class="mb-1"><b>Astronomical Transient Discovery</b></p>
<p class="mb-3 text-left">By sketching a peak-then-decay pattern on the query canvas, astronomers can directly search for potential supernovae candidates. Using interactive filtering, they can also eliminate sources of data anomaly to improve match accuracy for finding candidates.</p>
</div>
<div class="col-lg-4 p-4 text-center"> <img src="images/genetics.png" height="80px"></img>
<p class="mb-1">
<b>Gene Expression Analysis</b></p>
<p class="mb-3 text-left">Using the recommended representative trends in Zenvisage, geneticists can learn about the characteristic pattern profiles in their dataset. They can also search and browse for genes belonging to the same representative cluster via drag-and-drop. </p>
</div>
</div>
<h5> Zenvisage has been used by members of the following institutions. If you have a potential use case for Zenvisage or are currently using it for your project, we'd love to hear from you! </h5>
<div class="row text-muted">
<div class="col-md-2 col-4 p-2"> <img class="logo" src="images/des.jpg" style="position: absolute;margin:auto; top:0;bottom:0;left: 15px;"></img></div>
<div class="col-md-2 col-4 p-2"><img class="logo" src="images/kepler.png" style="position: absolute;margin:auto; top:0;bottom:0;left: 15px;"></img></div>
<div class="col-md-2 col-4 p-2"> <img class="logo" src="images/toyota.png" style="position: absolute;margin:auto; top:0;bottom:0;left: 15px;"></img></div>
<div class="col-md-2 col-4 p-2"> <img class="logo" src="images/sdsc.png" style="position: absolute;margin:auto; top:0;bottom:0;left: 15px;"></img> </div>
<div class="col-md-2 col-4 p-2"> <img class="logo" src="images/cmu.jpeg" style="position: absolute;margin:auto; top:0;bottom:0;"></img> </div>
<div class="col-md-2 col-4 p-2"> <a class="btn btn-primary" href="#contact"">Tell us More</a> </div>
</div>
</div>
</div>
</div>
<div class="row">
</div>
</div>
</div>
<div class="py-5" style="background-image: url("https://static.pingendo.com/cover-stripes.svg"); background-position: right bottom; background-size: cover;">
<div class="container">
<div class="row">
<div class="col-md-6" style="padding: 0px">
<!-- <div class="embed-responsive embed-responsive-16by9"> -->
<iframe src="https://www.youtube.com/embed/videoseries?list=PLDF90E9EEE2DECE56" allowfullscreen="" frameborder="0" height="315" width="100%" ></iframe>
<!-- </div> -->
</div>
<div class="p-5 bg-white ml-auto col-md-6 border text-center" style="">
<h1><b>Demo</b></h1>
<p class="h5 mb-3 text-left" style="width: 106%;">This demo introduces functionalities from our latest software release (v3.0) for Zenvisage, including different ways for constructing visual queries to search for patterns of interest, as well as additional features, such as interactive data filtering, dynamic class creation, data smoothing. </p></p> <a class="btn btn-primary" href="http://datapeople.cs.illinois.edu:8080/">Try out our live demo !</a>
</div>
</div>
</div>
</div>
<a name="contact"></a>
<div class="py-5">
<div class="container">
<div class="row">
<div class="text-center mx-auto col-md-12">
<div class="row">
</div>
<h1><b>Contact Us</b></h1>
<div class="mx-auto col-md-12">
<div class="text-left all-des">
<h5> Zenvisage is being developed by a team of undergraduate and graduate students headed by Professor <a href="http://data-people.cs.illinois.edu">Aditya Parameswaran</a> and Professor <a href="http://social.cs.uiuc.edu/people/karriekarahalios.html">Karrie Karahalios</a>. The current list of contributors includes (in alphabetical order) Doris Lee, Jaewoo Kim, Jintao Jiang, and Renxuan Wang. Past contributors include (in alphabetical order) Lijin Guo, John Lee, Changfeng Liu, Albert Kim, Tarique Siddiqui, Chao Wang, Edward Xue, Sean Zou, and Yuxuan Zou. There are other students working on related projects: Silu Huang, Stephen Macke, Sajjadur Rahman, and Tana Wattanawaroon. </h5>
<h5> Please reach out to <a href="http://dorisjunglinlee.com/">Doris Lee</a> if you'd like to either contribute or be a beta tester of Zenvisage! </h5>
</div>
</div>
</div>
</div>
<div class="row">
</div>
</div>
</div>
<a name="publications"></a>
<div class="py-5">
<div class="container">
<div class="row">
<div class="mx-auto col-md-12">
<div class="row">
</div>
<h1 class="text-center"><b>Publications</b><br></h1>
<div class="mx-auto col-md-12">
<p class="mb-4">
</p>
<div class="all-des">
<a name="selected"></a>
<div class="row">
<div class="col-md-12">
<div class="all-des">
<script type="text/javascript">
display_papers(["vida","shapesearch-demo","zenvisage-chi","needletail", "vizinc", "zenvisage-cidr", "zenvisage", "vizrec", "seedb", "seedb-demo", "smart-drill-down", "smart-drill-down-demo", "seedb-paper", "intel-sample", "needletail"], true, 10);
</script>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="row">
</div>
</div>
</div>
<div class="py-3">
<div class="container">
<div class="row">
<div class="col-md-12 text-center">
<p class="mb-0">© Zenvisage 2019. With generous funding from Google, Siebel Energy Institute, and Toyota.</p>
</div>
</div>
</div>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.3/umd/popper.min.js" integrity="sha384-ZMP7rVo3mIykV+2+9J3UJ46jBk0WLaUAdn689aCwoqbBJiSnjAK/l8WvCWPIPm49" crossorigin="anonymous"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/js/bootstrap.min.js" integrity="sha384-ChfqqxuZUCnJSK3+MXmPNIyE6ZbWh2IMqE241rYiqJxyMiZ6OW/JmZQ5stwEULTy" crossorigin="anonymous" style=""></script>
</body>
</html>