We have implemented custom solutions for converting latitude and longitude format.
{“C0”:[{“date”:“2018-06-24”,“basicStats”:{“min”:0.0,“max”:1.0,“mean”:0.49812480309167434,“stDev”:0.21741213637420015},“histogram”:{“bins”:[{“value”:0.0,“count”:107.796875},{“value”:0.20000000298023224,“count”:15.5625},{“value”:0.30000001192092896,“count”:396.0},{“value”:0.5,“count”:1388.0},{“value”:0.699999988079071,“count”:32.265625},{“value”:0.800000011920929,“count”:21.03125},{“value”:0.8999999761581421,“count”:74.578125},{“value”:1.0,“count”:182.03125}]}}],“C1”:[{“date”:“2018-06-24”,“basicStats”:{“min”:0.0,“max”:1.0,“mean”:0.3723350131565453,“stDev”:0.24323861621710793},“histogram”:{“bins”:[{“value”:0.0,“count”:618.109375},{“value”:0.30000001192092896,“count”:23.09375},{“value”:0.4000000059604645,“count”:18.015625},{“value”:0.5,“count”:1446.34375},{“value”:0.6000000238418579,“count”:24.71875},{“value”:0.699999988079071,“count”:23.0},{“value”:0.800000011920929,“count”:25.921875},{“value”:0.8999999761581421,“count”:14.71875},{“value”:1.0,“count”:23.34375}]}}],“C2”:[{“date”:“2018-06-24”,“basicStats”:{“min”:0.0,“max”:0.8999999761581421,“mean”:0.5133159664105881,“stDev”:0.1950621611224928},“histogram”:{“bins”:[{“value”:0.0,“count”:139.75},{“value”:0.10000000149011612,“count”:52.390625},{“value”:0.20000000298023224,“count”:9.921875},{“value”:0.30000001192092896,“count”:277.0},{“value”:0.4000000059604645,“count”:19.984375},{“value”:0.5,“count”:210.0},{“value”:0.6000000238418579,“count”:1388.0},{“value”:0.699999988079071,“count”:23.0},{“value”:0.800000011920929,“count”:15.5625},{“value”:0.8999999761581421,“count”:81.65625}]}}]}
In above json format we are getting C0, C1 and C2 for same date. C0, C1 and C2 so…
What is this represent? C0, C1 and C2 Are there any way know how many objects comes like C0 to C2 or son on…
THanks