-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
228 lines (174 loc) · 11.4 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
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
<!DOCTYPE html>
<html lang='en'>
<!-- Metadata -->
<head>
<meta charset='utf-8'>
<!-- Title -->
<title>Project Team 12: Data Within Education, DS 4200 F20</title>
<!-- CSS Styling -->
<link rel='stylesheet' href='style.css'>
<!-- Favicons -->
<link rel='apple-touch-icon' sizes='180x180' href='favicons/apple-touch-icon.png'>
<link rel='icon' type='image/png' sizes='32x32' href='favicons/favicon-32x32.png'>
<link rel='icon' type='image/png' sizes='16x16' href='favicons/favicon-16x16.png'>
<link rel='manifest' href='favicons/site.webmanifest'>
<link rel='shortcut icon' href='favicons/favicon.ico'>
<meta name='msapplication-TileColor' content='#da532c'>
<meta name='msapplication-config' content='favicons/browserconfig.xml'>
<meta name='theme-color' content='#ffffff'>
</head>
<!-- Main page content -->
<body>
<!-- Update this with your GitHub repo URL -->
<span id='forkongithub'><a href='https://github.com/NEU-DS-4200-F20/project-group-12-data-within-education'>Fork me on
GitHub</a></span>
<!-- Writeup -->
<div class='content-column'>
<h1>Project Team 12: Data Within Education, DS 4200 F20</h1>
<p><strong>Taeyoon Jin</strong>, <strong>Paul Vicks</strong>, <strong>Haicheng Liu</strong></p>
<p>Service-Learning Course Project as part of
<a href='https://canvas.instructure.com/courses/1781732'>DS 4200 F20: Information Visualization</a>,
taught by <a href='https://cody.khoury.northeastern.edu/'>Prof. Cody Dunne</a>,
<a href='https://visualization.khoury.northeastern.edu/'>Data Visualization @ Khoury</a>,
<a href='https://www.khoury.northeastern.edu/'>Northeastern University</a>.</p>
<h1>Abstract</h1>
<p>One of the biggest dilemmas within the current use of technology for education is the fact that massive amounts of student data is being left untapped at the expense of the opportunity to aid instructors. Keo LMS, a learning management system company, has provided this team with key student data ranging from click rates to student submission cycles. Leveraging this meaningful student performance data, data will be visualized to provide a platform to help online educators transform the way they digest their students’ online patterns.
Keywords: Educators, Students, Performance</p>
<h1>Visualization</h1>
<p>Below are two visualization designs. One includes a table and scatterplot. The other includes a table and line chart.
</p>
<p>The objective of the first scatterplot visualization is for the end user to quickly identify grade trends as it correlates to time spent on a quiz assignment. Many institutions that exclusively utilize mock tests as a tool find such visualization especially useful as it can be directly used to improve student time management skills.</p>
<p>The second linegraph visualization aims at providing the end user with data to show a student performance over time. Such tools can be utilized to quickly identify sudden changes in average grades to provide further help.</p>
<p>The data within this current example does not reflect real student data, structure of classes and grades along with data structure from existing classes and the Keo platform was taken to generate a sanitised dataset.</p>
<!--<p>
The scatterplot and table chart interact with each other via brushing and linking and details on demand. The scatterplot shows all the quiz and test scores for a class plotted against the time spent on those tasks. The scatterplot itself is zoomable after a brush has been applied. After brushing the scatterplot, not only with the zoom functionality apply, but the table will refresh with the corresponding data that has been brushed. This essentiality turns the table into an extended tooltip that provides more detail on the datapoint that have been brushed (details on demand). Highlighting table rows results in scatter points being ‘pop’d out’ via a grey fill and non-selected scatter points being faded out in the background. To reset both the table selections and scatterplot zoom please double click on the scatterplot.
</p>
<p>
The line chart and table interact with each other via linking and details on demand. The line chart shows the average grade throughout a semester of a student. Selecting new students from the drop-down arrow results in a new table containing the grade data of the new student. Here, once again, the table acts as details on demand, providing a detailed view of the line chart data that only shows average grades and deadlines.
</p> --><br>
</div>
<!-- Visualization goes here -->
<div class='vis-holder'>
<!-- Change viewbox to whatever you want, e.g., '0 0 1000 6000' This determines your aspect ratio and coordinate system -->
<!-- Delete all the sample SVG code below after the viewbox to before the closing tag. Populate this part of the SVG with D3. -->
<!--
<div class='table-holder' id='table'></div>
-->
<div>
<h2>Class Timed Quiz Grade Distribution</h2>
<p style="color: gray; margin: -10px 0"><b>Note: The data below does not reflect any real data containing private information. </b></p>
<p style="padding-bottom: 10px;">Interact with the scatter plot or table through dragging or clicking to isolate and zoom in to the scatter plot. Double click the scatter plot to zoom out and load in all data from the dataset. </p>
<div class="flex-group" style="display: flex;">
<div class="flex-item-left" style="">
<div class="table-holder" id='table' style="max-height: 650px;"></div>
</div>
<div class="flex-item-right" style="flex: 1 1 auto; box-sizing: border-box; margin-right: -90px;">
<svg class='scatterplot-holder' id='scatterplot'
preserveAspectRatio='xMidYMid meet' viewBox='0 0 1000 1000' version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink'>
</svg>
</div>
</div>
</div>
<br>
<br>
<div>
<h2>Student Average Grade Over Time</h2>
<p style="color: gray; margin: -10px 0"><b>Note: The data below does not reflect any real data containing private information. </b></p>
<p style="padding-bottom: 50px;">Select a student from the drop down below to get started. The line graph and table both dynamically updates according to the student selection. </p>
<div class="flex-group" style="display: flex">
<div class="flex-item-left" style="">
<div class="table-holder" id="multilinetable" style="max-height: 650px;"></div>
</div>
<div class="flex-item-right-bottom" id="multilinechart" style="flex: 1 1 auto; box-sizing: border-box;">
<div style="padding-left: 70px; padding-bottom: 10px;">
<div class="dropdown">
<p style="font-size: 12px; margin: 0; padding: 0;">Selected Student: </p>
<button id="dLabel" type="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"
class="dropdown-button" onclick="onClickButton(event)">
<span class="caret"></span>
</button>
<ul class="dropdown-menu" aria-labelledby="dLabel">
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Further writeup -->
<div class='content-column'>
<h1>Demo Video</h1>
<p>Video below shows the different levels of interaction the above tool is capable of along with possible use cases for the real world.</p>
<video controls width='100%'>
<source src='video/video.mp4' type='video/mp4'>
<p>Your browser doesn't support HTML5 video. Here is
a <a href='video/video.mp4'>link to the video</a>
instead.</p>
</video>
<br>
<!-- <a href="https://docs.google.com/presentation/d/1iJbxUP1Sqb4kJ0lSZb-kKjrM0RyQeKHcNqWg5Mp3hFc/edit?ts=5fcd7c83#slide=id.p">
Google Slides Presentation
</a>-->
<h1>Presentation</h1>
<p>Click the presentation below to be directed to the online presentation.</p>
<p><a href="https://docs.google.com/presentation/d/1J2RDJAMHqw6rPr96eyLl5hxO-bT-ymiH1ayiKWLes4c/edit?usp=sharing">
<img src="img/Presentation/Presentation.001.jpeg" alt="W3Schools.com">
</a></p>
<h1>Visualization explanation</h1>
<p>The scatterplot and table visualization accomplishes domain tasks two and three. These domain tasks were position of time spent by overall grade and visualization of classwork grades, respectively. The line chart and table visualization satisfy domain tasks one and four. These domain tasks were visualization of class grades and average grades per student.</p>
<p>In terms of interactivity, the scatterplot and table visualization utilize brushing and linking, zooming, and also details on demand. Details on demand are provided when a group of scatter points are brushed over and the table correspondingly adjusts to only include the datapoints that have been brushed. The table provides more details than just the scatterplot can inform the user. Double clicking on the scatterplot resets the zoom level to normal and resets the table to include all original data. For the line chart and table, the visualization leverages linking and details on demand (details are provided for each student after a student is selected from the drop-down arrow).</p>
<p>Color schemes for both charts were chosen from primary color pallets as colors were used to encode categorical variables like class type. For the scatterplot, selected circles were filled with light grey so that the colored outline of each circle still could stick out. When table rows are selected, the circles that are not correspondingly selected have a reduced opacity so that they allow the selected circles to pop out (which remain at normal opacity). Selected rows from the first table are highlighted in a pink shade.</p>
<h1>Acknowledgments</h1>
<ul>
<li><a href='https://d3js.org/'>
D3: Data-Driven Documents</a>
by Mike Bostock is used for manipulating the DOM to create visualizations.
</li>
<li><a href='https://codepo8.github.io/css-fork-on-github-ribbon/#'>
Pure CSS responsive 'Fork me on GitHub' ribbon</a>
by Chris Heilmann is used to create the banner that links back to the source code repository.
</li>
<li><a href='https://observablehq.com/@d3/d3v6-migration-guide'>
D3 Migration Guide
</a>
Used to implement D3 Map function for V6.
</li>
<li><a href='https://bl.ocks.org/d3noob/4db972df5d7efc7d611255d1cc6f3c4f'>
D3 Multi line graph
</a>
Simple D3 Multiline graph as a starting point for multi color line graph.
</li>
<li><a href="https://www.d3-graph-gallery.com/graph/custom_legend.html">
Legend Guide
</a>
Inspiration for our Scatterplot Legend.
</li>
<li><a href = "https://getbootstrap.com">
Bootstrap v5
</a>
Dropdown HTML, CSS, JS elements.
</li>
<li><a href="https://www.d3-graph-gallery.com/graph/histogram_basic.html">
Histogram Guide
</a>
Inspiration for our Histograms.
</li>
<li><a href = "https://bl.ocks.org/mthh/e9ebf74e8c8098e67ca0a582b30b0bf0">
Zoom Guide
</a>
Inspiration for the zoom functionality on the scatterplot.
</li>
</ul>
<br>
<br>
</div>
<!-- Scripts at the end avoid need for dealing with async, defer, or onload event handlers -->
<script src='lib/d3.v6.1.1/d3.min.js'></script>
<script src='js/table.js'></script>
<script src='js/scatterdist.js'></script>
<script src='lib/d3-legend.min.js'></script>
<script src='js/multilinechart.js'></script>
<script src='js/visualization.js'></script>
<script src='js/studenttable.js'></script>
</body>
</html>