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Test1.json
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{
"paragraphs": [
{
"text": "import pandas as pd\n\ndf \u003d pd.read_csv(\"https://raw.githubusercontent.com/arangodb/example-datasets/master/Cities/GeoLiteCity.csv\")\n",
"user": "[email protected]",
"dateUpdated": "Jun 17, 2019 9:13:52 AM",
"config": {
"colWidth": 12.0,
"graph": {
"mode": "table",
"height": 300.0,
"optionOpen": false,
"keys": [],
"values": [],
"groups": [],
"scatter": {}
},
"enabled": true,
"editorMode": "ace/mode/python"
},
"settings": {
"params": {},
"forms": {}
},
"paragraphProgress": {
"jobs": [],
"numCompletedTasks": 0,
"numTasks": 0,
"truncated": false
},
"version": "v1",
"jobName": "paragraph_1560760402609_1095932214",
"id": "20190617-083322_594132737_q_VNXDQHATMX1560760398",
"dateCreated": "Jun 17, 2019 8:33:18 AM",
"dateSubmitted": "Jun 17, 2019 9:13:52 AM",
"dateStarted": "Jun 17, 2019 9:13:52 AM",
"dateFinished": "Jun 17, 2019 9:13:53 AM",
"status": "FINISHED",
"errorMessage": "",
"progressUpdateIntervalMs": 1000
},
{
"text": "df",
"user": "[email protected]",
"dateUpdated": "Jun 17, 2019 9:13:58 AM",
"config": {
"colWidth": 12.0,
"graph": {
"mode": "table",
"height": 300.0,
"optionOpen": false,
"keys": [],
"values": [],
"groups": [],
"scatter": {}
},
"enabled": true,
"editorMode": "ace/mode/python"
},
"settings": {
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},
"version": "v1",
"jobName": "paragraph_1560760467274_1396698584",
"id": "20190617-083427_181011749_q_VNXDQHATMX1560760398",
"dateCreated": "Jun 17, 2019 8:34:27 AM",
"dateSubmitted": "Jun 17, 2019 9:13:58 AM",
"dateStarted": "Jun 17, 2019 9:13:58 AM",
"dateFinished": "Jun 17, 2019 9:13:58 AM",
"status": "FINISHED",
"errorMessage": "",
"progressUpdateIntervalMs": 1000
},
{
"text": "",
"config": {},
"settings": {
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"forms": {}
},
"version": "v0",
"jobName": "paragraph_1560762838177_770513433",
"id": "20190617-091358_549247817_q_VNXDQHATMX1560760398",
"dateCreated": "Jun 17, 2019 9:13:58 AM",
"status": "READY",
"errorMessage": "",
"progressUpdateIntervalMs": 1000
}
],
"name": "Test1",
"id": "VNXDQHATMX1560760398",
"angularObjects": {
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"config": {
"isDashboard": false,
"defaultLang": "pyspark"
},
"info": {},
"source": "FCN"
}