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added improved jupyter notebook and corresponding csv files #13

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48 changes: 48 additions & 0 deletions example-data/sample_daily.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
timestamp,value
2018-03-01T00:00:00Z,32858923
2018-03-02T00:00:00Z,29615278
2018-03-03T00:00:00Z,22839355
2018-03-04T00:00:00Z,25948736
2018-03-05T00:00:00Z,34139159
2018-03-06T00:00:00Z,33843985
2018-03-07T00:00:00Z,33637661
2018-03-08T00:00:00Z,32627350
2018-03-09T00:00:00Z,29881076
2018-03-10T00:00:00Z,22681575
2018-03-11T00:00:00Z,24629393
2018-03-12T00:00:00Z,34010679
2018-03-13T00:00:00Z,33893888
2018-03-14T00:00:00Z,33760076
2018-03-15T00:00:00Z,33093515
2018-03-16T00:00:00Z,29945555
2018-03-17T00:00:00Z,22676212
2018-03-18T00:00:00Z,25262514
2018-03-19T00:00:00Z,33631649
2018-03-20T00:00:00Z,34468310
2018-03-21T00:00:00Z,34212281
2018-03-22T00:00:00Z,38144434
2018-03-23T00:00:00Z,34662949
2018-03-24T00:00:00Z,24623684
2018-03-25T00:00:00Z,26530491
2018-03-26T00:00:00Z,35445003
2018-03-27T00:00:00Z,34250789
2018-03-28T00:00:00Z,33423012
2018-03-29T00:00:00Z,30744783
2018-03-30T00:00:00Z,25825128
2018-03-31T00:00:00Z,21244209
2018-04-01T00:00:00Z,22576956
2018-04-02T00:00:00Z,31957221
2018-04-03T00:00:00Z,33841228
2018-04-04T00:00:00Z,33554483
2018-04-05T00:00:00Z,32383350
2018-04-06T00:00:00Z,29494850
2018-04-07T00:00:00Z,22815534
2018-04-08T00:00:00Z,25557267
2018-04-09T00:00:00Z,34858252
2018-04-10T00:00:00Z,34750597
2018-04-11T00:00:00Z,34717956
2018-04-12T00:00:00Z,34132534
2018-04-13T00:00:00Z,30762236
2018-04-14T00:00:00Z,22504059
2018-04-15T00:00:00Z,26149060
2018-04-16T00:00:00Z,35250105
193 changes: 193 additions & 0 deletions example-data/sample_daily.json
Original file line number Diff line number Diff line change
@@ -0,0 +1,193 @@
{
"granularity": "daily",
"series": [
{
"timestamp": "2018-03-01T00:00:00Z",
"value": 32858923
},
{
"timestamp": "2018-03-02T00:00:00Z",
"value": 29615278
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{
"timestamp": "2018-03-03T00:00:00Z",
"value": 22839355
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"timestamp": "2018-03-04T00:00:00Z",
"value": 25948736
},
{
"timestamp": "2018-03-05T00:00:00Z",
"value": 34139159
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{
"timestamp": "2018-03-06T00:00:00Z",
"value": 33843985
},
{
"timestamp": "2018-03-07T00:00:00Z",
"value": 33637661
},
{
"timestamp": "2018-03-08T00:00:00Z",
"value": 32627350
},
{
"timestamp": "2018-03-09T00:00:00Z",
"value": 29881076
},
{
"timestamp": "2018-03-10T00:00:00Z",
"value": 22681575
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{
"timestamp": "2018-03-11T00:00:00Z",
"value": 24629393
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{
"timestamp": "2018-03-12T00:00:00Z",
"value": 34010679
},
{
"timestamp": "2018-03-13T00:00:00Z",
"value": 33893888
},
{
"timestamp": "2018-03-14T00:00:00Z",
"value": 33760076
},
{
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"value": 33093515
},
{
"timestamp": "2018-03-16T00:00:00Z",
"value": 29945555
},
{
"timestamp": "2018-03-17T00:00:00Z",
"value": 22676212
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{
"timestamp": "2018-03-18T00:00:00Z",
"value": 25262514
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{
"timestamp": "2018-03-19T00:00:00Z",
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{
"timestamp": "2018-03-20T00:00:00Z",
"value": 34468310
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{
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"value": 34662949
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{
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"timestamp": "2018-03-25T00:00:00Z",
"value": 26530491
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{
"timestamp": "2018-03-26T00:00:00Z",
"value": 35445003
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"timestamp": "2018-03-27T00:00:00Z",
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{
"timestamp": "2018-03-28T00:00:00Z",
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"timestamp": "2018-03-29T00:00:00Z",
"value": 30744783
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{
"timestamp": "2018-03-30T00:00:00Z",
"value": 25825128
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{
"timestamp": "2018-03-31T00:00:00Z",
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{
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{
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{
"timestamp": "2018-04-16T00:00:00Z",
"value": 35250105
}
]
}
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