-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathscript.js
More file actions
261 lines (223 loc) · 8.86 KB
/
script.js
File metadata and controls
261 lines (223 loc) · 8.86 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
258
259
260
261
document.getElementById('uploadForm').addEventListener('submit', async (e) => {
e.preventDefault();
const fileInput = document.getElementById('fileInput');
const file = fileInput.files[0];
if (!file) {
alert('Please select a file to upload.');
return;
}
const formData = new FormData();
formData.append('file', file);
try {
const response = await fetch('/upload', { method: 'POST', body: formData });
const result = await response.json();
if (result.error) {
alert(result.error);
return;
}
// Store the file path for future use
window.datasetFilePath = result.filepath;
// Populate target variable dropdown
const targetSelect = document.getElementById('targetSelect');
targetSelect.innerHTML = ''; // Clear existing options
result.columns.forEach((col) => {
const option = document.createElement('option');
option.value = col;
option.textContent = col;
targetSelect.appendChild(option);
});
// Show analyze and explore sections
document.getElementById('analyzeSection').style.display = 'block';
document.getElementById('exploreSection').style.display = 'block';
} catch (error) {
console.error('Error uploading file:', error);
alert('Failed to upload file. Please try again.');
}
});
document.getElementById('analyzeBtn').addEventListener('click', async () => {
const targetSelect = document.getElementById('targetSelect');
const targetColumn = targetSelect.value;
if (!targetColumn) {
alert('Please select a target variable to analyze.');
return;
}
try {
const response = await fetch('/analyze', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
filepath: window.datasetFilePath,
target_column: targetColumn
})
});
const result = await response.json();
if (result.error) {
alert(result.error);
return;
}
// Display graphs and analysis
const visualizationDiv = document.getElementById('visualization');
visualizationDiv.innerHTML = `
<h2 class="mb-4">Data Visualizations for ${targetColumn}</h2>
<img src="${result.plots.heatmap}" alt="Correlation Heatmap" class="img-fluid mb-4">
<img src="${result.plots.pairplot}" alt="Pairplot" class="img-fluid mb-4">
<img src="${result.plots.distribution}" alt="Distribution" class="img-fluid mb-4">
<p><strong>Model Score:</strong> ${result.model_score}</p>
<p><strong>Target Type:</strong> ${result.target_type}</p>
`;
visualizationDiv.style.display = 'block';
} catch (error) {
console.error('Error analyzing dataset:', error);
alert('Failed to analyze dataset. Please try again.');
}
});
document.getElementById('themeToggle').addEventListener('click', () => {
const body = document.body;
const themeToggle = document.getElementById('themeToggle');
if (body.classList.contains('light-mode')) {
body.classList.remove('light-mode');
body.classList.add('dark-mode');
themeToggle.textContent = '🌙'; // Change emoji to moon for dark mode
} else {
body.classList.remove('dark-mode');
body.classList.add('light-mode');
themeToggle.textContent = '🌞'; // Change emoji to sun for light mode
}
});
// Show speech bubble on button click
document.getElementById('tryVisualizations').addEventListener('click', () => {
const bubble = document.getElementById('messageBubble');
bubble.classList.add('visible');
setTimeout(() => {
bubble.classList.remove('visible'); // Auto-hide after 3 seconds
}, 3000);
});
document.getElementById('summaryBtn').addEventListener('click', async () => {
try {
const response = await fetch('/summarize', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ filepath: window.datasetFilePath })
});
const result = await response.json();
if (result.error) {
alert(result.error);
return;
}
const output = `
<h3>Summary Statistics</h3>
<pre>${JSON.stringify(result.summary, null, 2)}</pre>
<h3>Missing Values</h3>
<pre>${JSON.stringify(result.missing_values, null, 2)}</pre>
`;
document.getElementById('analysisOutput').innerHTML = output;
} catch (error) {
console.error('Error fetching summary statistics:', error);
alert('Failed to fetch summary statistics. Please try again.');
}
});
document.getElementById('correlationBtn').addEventListener('click', async () => {
try {
const targetColumn = document.getElementById('targetSelect').value;
const response = await fetch('/correlation', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
filepath: window.datasetFilePath,
target_column: targetColumn
})
});
const result = await response.json();
if (result.error) {
alert(result.error);
return;
}
const output = `
<h3>Feature Correlations</h3>
<pre>${JSON.stringify(result.correlations, null, 2)}</pre>
`;
document.getElementById('analysisOutput').innerHTML = output;
} catch (error) {
console.error('Error fetching feature correlations:', error);
alert('Failed to fetch feature correlations. Please try again.');
}
});
document.getElementById('distributionBtn').addEventListener('click', async () => {
try {
const feature = prompt('Enter the feature name to explore its distribution:');
if (!feature) {
alert('Please enter a feature name.');
return;
}
const response = await fetch('/distribution', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ filepath: window.datasetFilePath, feature })
});
const result = await response.json();
if (result.error) {
alert(result.error);
return;
}
const output = `
<h3>Distribution of ${feature}</h3>
<img src="${result.distribution_plot}" alt="Distribution Plot" class="img-fluid">
`;
document.getElementById('analysisOutput').innerHTML = output;
} catch (error) {
console.error('Error fetching feature distribution:', error);
alert('Failed to fetch feature distribution. Please try again.');
}
});
// Handle Missing Values
document.getElementById('handleMissingBtn').addEventListener('click', async () => {
try {
const response = await fetch('/handle_missing', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ filepath: window.datasetFilePath })
});
const result = await response.json();
if (result.error) {
alert(result.error);
return;
}
const output = `
<h3>Missing Values Handled</h3>
<pre>${JSON.stringify(result.handled_missing, null, 2)}</pre>
`;
document.getElementById('analysisOutput').innerHTML = output;
} catch (error) {
console.error('Error handling missing values:', error);
alert('Failed to handle missing values. Please try again.');
}
});
// Detect and Handle Outliers
document.getElementById('handleOutliersBtn').addEventListener('click', async () => {
try {
const feature = prompt('Enter the feature name to detect and handle outliers:');
if (!feature) {
alert('Please enter a feature name.');
return;
}
const response = await fetch('/handle_outliers', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ filepath: window.datasetFilePath, feature })
});
const result = await response.json();
if (result.error) {
alert(result.error);
return;
}
const output = `
<h3>Outliers Handled for ${feature}</h3>
<img src="${result.outlier_plot}" alt="Outliers Plot" class="img-fluid">
<pre>${JSON.stringify(result.outliers_handled, null, 2)}</pre>
`;
document.getElementById('analysisOutput').innerHTML = output;
} catch (error) {
console.error('Error detecting and handling outliers:', error);
alert('Failed to detect and handle outliers. Please try again.');
}
});