Hello Everyone,
Could some genius please help me with formula or ways to find a daily occupancy rate of car park in hourly bases based on transaction of “Date Time IN” and “Date Time OUT”. ?
Below are the actual sample of transaction we receive.
Note: Drivers can park for more than a day as well.
[TABLE="class: grid, width: 610"]
<tbody>[TR]
[TD]Session Start[/TD]
[TD]Session End[/TD]
[TD]Duration (in Mins)[/TD]
[TD]VRN[/TD]
[TD]Car Park[/TD]
[/TR]
[TR]
[TD]01/04/2018 04:22[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]817[/TD]
[TD]****UXZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 05:18[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]761[/TD]
[TD]****OXZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 05:53[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]726[/TD]
[TD]****PTZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 06:03[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]716[/TD]
[TD]****MGZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 06:15[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]704[/TD]
[TD]****LBZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 06:53[/TD]
[TD]01/04/2018 11:00[/TD]
[TD]247[/TD]
[TD]****SKZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 06:57[/TD]
[TD]01/04/2018 15:00[/TD]
[TD]483[/TD]
[TD]****FBZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 07:03[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]656[/TD]
[TD]****KDZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 07:10[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]649[/TD]
[TD]****EHZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 20:40[/TD]
[TD]02/05/2018 18:59[/TD]
[TD]1339[/TD]
[TD]****ZHZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 20:44[/TD]
[TD]02/05/2018 18:59[/TD]
[TD]1335[/TD]
[TD]****JMZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 21:14[/TD]
[TD]02/05/2018 16:59[/TD]
[TD]1185[/TD]
[TD]****FFZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
</tbody>[/TABLE]
Below is the table that would be in a different sheet and I need the data in column D (No of car in the car park) using formula/function based on above transactions.
[TABLE="class: grid, width: 625"]
<tbody>[TR]
[TD]Date[/TD]
[TD="colspan: 2"]Time Period[/TD]
[TD]No of car in car park [/TD]
[TD]Total space[/TD]
[TD]space available[/TD]
[TD]Occupancy rate in %[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]00:00[/TD]
[TD]00:59[/TD]
[TD]0[/TD]
[TD]100[/TD]
[TD]100[/TD]
[TD]0%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]01:00[/TD]
[TD]01:59[/TD]
[TD]1[/TD]
[TD]100[/TD]
[TD]99[/TD]
[TD]1%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]02:00[/TD]
[TD]02:59[/TD]
[TD]2[/TD]
[TD]100[/TD]
[TD]98[/TD]
[TD]2%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]03:00[/TD]
[TD]03:59[/TD]
[TD]3[/TD]
[TD]100[/TD]
[TD]97[/TD]
[TD]3%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]04:00[/TD]
[TD]04:59[/TD]
[TD]4[/TD]
[TD]100[/TD]
[TD]96[/TD]
[TD]4%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]05:00[/TD]
[TD]05:59[/TD]
[TD]5[/TD]
[TD]100[/TD]
[TD]95[/TD]
[TD]5%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]06:00[/TD]
[TD]06:59[/TD]
[TD]6[/TD]
[TD]100[/TD]
[TD]94[/TD]
[TD]6%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]07:00[/TD]
[TD]07:59[/TD]
[TD]7[/TD]
[TD]100[/TD]
[TD]93[/TD]
[TD]7%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]08:00[/TD]
[TD]08:59[/TD]
[TD]8[/TD]
[TD]100[/TD]
[TD]92[/TD]
[TD]8%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]09:00[/TD]
[TD]09:59[/TD]
[TD]9[/TD]
[TD]100[/TD]
[TD]91[/TD]
[TD]9%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]10:00[/TD]
[TD]10:59[/TD]
[TD]10[/TD]
[TD]100[/TD]
[TD]90[/TD]
[TD]10%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]11:00[/TD]
[TD]11:59[/TD]
[TD]11[/TD]
[TD]100[/TD]
[TD]89[/TD]
[TD]11%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]12:00[/TD]
[TD]12:59[/TD]
[TD]12[/TD]
[TD]100[/TD]
[TD]88[/TD]
[TD]12%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]13:00[/TD]
[TD]13:59[/TD]
[TD]13[/TD]
[TD]100[/TD]
[TD]87[/TD]
[TD]13%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]14:00[/TD]
[TD]14:59[/TD]
[TD]14[/TD]
[TD]100[/TD]
[TD]86[/TD]
[TD]14%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]15:00[/TD]
[TD]15:59[/TD]
[TD]15[/TD]
[TD]100[/TD]
[TD]85[/TD]
[TD]15%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]16:00[/TD]
[TD]16:59[/TD]
[TD]16[/TD]
[TD]100[/TD]
[TD]84[/TD]
[TD]16%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]17:00[/TD]
[TD]17:59[/TD]
[TD]17[/TD]
[TD]100[/TD]
[TD]83[/TD]
[TD]17%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]18:00[/TD]
[TD]18:59[/TD]
[TD]18[/TD]
[TD]100[/TD]
[TD]82[/TD]
[TD]18%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]19:00[/TD]
[TD]19:59[/TD]
[TD]19[/TD]
[TD]100[/TD]
[TD]81[/TD]
[TD]19%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]20:00[/TD]
[TD]20:59[/TD]
[TD]20[/TD]
[TD]100[/TD]
[TD]80[/TD]
[TD]20%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]21:00[/TD]
[TD]21:59[/TD]
[TD]21[/TD]
[TD]100[/TD]
[TD]79[/TD]
[TD]21%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]22:00[/TD]
[TD]22:59[/TD]
[TD]22[/TD]
[TD]100[/TD]
[TD]78[/TD]
[TD]22%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]23:00[/TD]
[TD]23:59[/TD]
[TD]23[/TD]
[TD]100[/TD]
[TD]77[/TD]
[TD]23%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]00:00[/TD]
[TD]00:59[/TD]
[TD]24[/TD]
[TD]100[/TD]
[TD]76[/TD]
[TD]24%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]01:00[/TD]
[TD]01:59[/TD]
[TD]25[/TD]
[TD]100[/TD]
[TD]75[/TD]
[TD]25%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]02:00[/TD]
[TD]02:59[/TD]
[TD]26[/TD]
[TD]100[/TD]
[TD]74[/TD]
[TD]26%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]03:00[/TD]
[TD]03:59[/TD]
[TD]27[/TD]
[TD]100[/TD]
[TD]73[/TD]
[TD]27%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]04:00[/TD]
[TD]04:59[/TD]
[TD]28[/TD]
[TD]100[/TD]
[TD]72[/TD]
[TD]28%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]05:00[/TD]
[TD]05:59[/TD]
[TD]29[/TD]
[TD]100[/TD]
[TD]71[/TD]
[TD]29%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]06:00[/TD]
[TD]06:59[/TD]
[TD]30[/TD]
[TD]100[/TD]
[TD]70[/TD]
[TD]30%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]07:00[/TD]
[TD]07:59[/TD]
[TD]31[/TD]
[TD]100[/TD]
[TD]69[/TD]
[TD]31%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]08:00[/TD]
[TD]08:59[/TD]
[TD]32[/TD]
[TD]100[/TD]
[TD]68[/TD]
[TD]32%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]09:00[/TD]
[TD]09:59[/TD]
[TD]33[/TD]
[TD]100[/TD]
[TD]67[/TD]
[TD]33%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]10:00[/TD]
[TD]10:59[/TD]
[TD]34[/TD]
[TD]100[/TD]
[TD]66[/TD]
[TD]34%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]11:00[/TD]
[TD]11:59[/TD]
[TD]35[/TD]
[TD]100[/TD]
[TD]65[/TD]
[TD]35%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]12:00[/TD]
[TD]12:59[/TD]
[TD]36[/TD]
[TD]100[/TD]
[TD]64[/TD]
[TD]36%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]13:00[/TD]
[TD]13:59[/TD]
[TD]37[/TD]
[TD]100[/TD]
[TD]63[/TD]
[TD]37%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]14:00[/TD]
[TD]14:59[/TD]
[TD]38[/TD]
[TD]100[/TD]
[TD]62[/TD]
[TD]38%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]15:00[/TD]
[TD]15:59[/TD]
[TD]39[/TD]
[TD]100[/TD]
[TD]61[/TD]
[TD]39%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]16:00[/TD]
[TD]16:59[/TD]
[TD]40[/TD]
[TD]100[/TD]
[TD]60[/TD]
[TD]40%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]17:00[/TD]
[TD]17:59[/TD]
[TD]41[/TD]
[TD]100[/TD]
[TD]59[/TD]
[TD]41%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]18:00[/TD]
[TD]18:59[/TD]
[TD]42[/TD]
[TD]100[/TD]
[TD]58[/TD]
[TD]42%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]19:00[/TD]
[TD]19:59[/TD]
[TD]43[/TD]
[TD]100[/TD]
[TD]57[/TD]
[TD]43%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]20:00[/TD]
[TD]20:59[/TD]
[TD]44[/TD]
[TD]100[/TD]
[TD]56[/TD]
[TD]44%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]21:00[/TD]
[TD]21:59[/TD]
[TD]45[/TD]
[TD]100[/TD]
[TD]55[/TD]
[TD]45%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]22:00[/TD]
[TD]22:59[/TD]
[TD]46[/TD]
[TD]100[/TD]
[TD]54[/TD]
[TD]46%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]23:00[/TD]
[TD]23:59[/TD]
[TD]47[/TD]
[TD]100[/TD]
[TD]53[/TD]
[TD]47%[/TD]
[/TR]
</tbody>[/TABLE]
I hope I have explained it clearly above, if there is anything that doesn’t make sense or not clear enough, please can you let me know, so I can try give more details.
Many thanks in advance for your time and help.
Much appreciated
Could some genius please help me with formula or ways to find a daily occupancy rate of car park in hourly bases based on transaction of “Date Time IN” and “Date Time OUT”. ?
Below are the actual sample of transaction we receive.
Note: Drivers can park for more than a day as well.
[TABLE="class: grid, width: 610"]
<tbody>[TR]
[TD]Session Start[/TD]
[TD]Session End[/TD]
[TD]Duration (in Mins)[/TD]
[TD]VRN[/TD]
[TD]Car Park[/TD]
[/TR]
[TR]
[TD]01/04/2018 04:22[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]817[/TD]
[TD]****UXZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 05:18[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]761[/TD]
[TD]****OXZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 05:53[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]726[/TD]
[TD]****PTZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 06:03[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]716[/TD]
[TD]****MGZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 06:15[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]704[/TD]
[TD]****LBZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 06:53[/TD]
[TD]01/04/2018 11:00[/TD]
[TD]247[/TD]
[TD]****SKZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 06:57[/TD]
[TD]01/04/2018 15:00[/TD]
[TD]483[/TD]
[TD]****FBZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 07:03[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]656[/TD]
[TD]****KDZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 07:10[/TD]
[TD]01/04/2018 17:59[/TD]
[TD]649[/TD]
[TD]****EHZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 20:40[/TD]
[TD]02/05/2018 18:59[/TD]
[TD]1339[/TD]
[TD]****ZHZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 20:44[/TD]
[TD]02/05/2018 18:59[/TD]
[TD]1335[/TD]
[TD]****JMZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
[TR]
[TD]01/04/2018 21:14[/TD]
[TD]02/05/2018 16:59[/TD]
[TD]1185[/TD]
[TD]****FFZ[/TD]
[TD]Car Park 1[/TD]
[/TR]
</tbody>[/TABLE]
Below is the table that would be in a different sheet and I need the data in column D (No of car in the car park) using formula/function based on above transactions.
[TABLE="class: grid, width: 625"]
<tbody>[TR]
[TD]Date[/TD]
[TD="colspan: 2"]Time Period[/TD]
[TD]No of car in car park [/TD]
[TD]Total space[/TD]
[TD]space available[/TD]
[TD]Occupancy rate in %[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]00:00[/TD]
[TD]00:59[/TD]
[TD]0[/TD]
[TD]100[/TD]
[TD]100[/TD]
[TD]0%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]01:00[/TD]
[TD]01:59[/TD]
[TD]1[/TD]
[TD]100[/TD]
[TD]99[/TD]
[TD]1%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]02:00[/TD]
[TD]02:59[/TD]
[TD]2[/TD]
[TD]100[/TD]
[TD]98[/TD]
[TD]2%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]03:00[/TD]
[TD]03:59[/TD]
[TD]3[/TD]
[TD]100[/TD]
[TD]97[/TD]
[TD]3%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]04:00[/TD]
[TD]04:59[/TD]
[TD]4[/TD]
[TD]100[/TD]
[TD]96[/TD]
[TD]4%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]05:00[/TD]
[TD]05:59[/TD]
[TD]5[/TD]
[TD]100[/TD]
[TD]95[/TD]
[TD]5%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]06:00[/TD]
[TD]06:59[/TD]
[TD]6[/TD]
[TD]100[/TD]
[TD]94[/TD]
[TD]6%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]07:00[/TD]
[TD]07:59[/TD]
[TD]7[/TD]
[TD]100[/TD]
[TD]93[/TD]
[TD]7%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]08:00[/TD]
[TD]08:59[/TD]
[TD]8[/TD]
[TD]100[/TD]
[TD]92[/TD]
[TD]8%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]09:00[/TD]
[TD]09:59[/TD]
[TD]9[/TD]
[TD]100[/TD]
[TD]91[/TD]
[TD]9%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]10:00[/TD]
[TD]10:59[/TD]
[TD]10[/TD]
[TD]100[/TD]
[TD]90[/TD]
[TD]10%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]11:00[/TD]
[TD]11:59[/TD]
[TD]11[/TD]
[TD]100[/TD]
[TD]89[/TD]
[TD]11%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]12:00[/TD]
[TD]12:59[/TD]
[TD]12[/TD]
[TD]100[/TD]
[TD]88[/TD]
[TD]12%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]13:00[/TD]
[TD]13:59[/TD]
[TD]13[/TD]
[TD]100[/TD]
[TD]87[/TD]
[TD]13%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]14:00[/TD]
[TD]14:59[/TD]
[TD]14[/TD]
[TD]100[/TD]
[TD]86[/TD]
[TD]14%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]15:00[/TD]
[TD]15:59[/TD]
[TD]15[/TD]
[TD]100[/TD]
[TD]85[/TD]
[TD]15%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]16:00[/TD]
[TD]16:59[/TD]
[TD]16[/TD]
[TD]100[/TD]
[TD]84[/TD]
[TD]16%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]17:00[/TD]
[TD]17:59[/TD]
[TD]17[/TD]
[TD]100[/TD]
[TD]83[/TD]
[TD]17%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]18:00[/TD]
[TD]18:59[/TD]
[TD]18[/TD]
[TD]100[/TD]
[TD]82[/TD]
[TD]18%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]19:00[/TD]
[TD]19:59[/TD]
[TD]19[/TD]
[TD]100[/TD]
[TD]81[/TD]
[TD]19%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]20:00[/TD]
[TD]20:59[/TD]
[TD]20[/TD]
[TD]100[/TD]
[TD]80[/TD]
[TD]20%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]21:00[/TD]
[TD]21:59[/TD]
[TD]21[/TD]
[TD]100[/TD]
[TD]79[/TD]
[TD]21%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]22:00[/TD]
[TD]22:59[/TD]
[TD]22[/TD]
[TD]100[/TD]
[TD]78[/TD]
[TD]22%[/TD]
[/TR]
[TR]
[TD]01/04/2018[/TD]
[TD]23:00[/TD]
[TD]23:59[/TD]
[TD]23[/TD]
[TD]100[/TD]
[TD]77[/TD]
[TD]23%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]00:00[/TD]
[TD]00:59[/TD]
[TD]24[/TD]
[TD]100[/TD]
[TD]76[/TD]
[TD]24%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]01:00[/TD]
[TD]01:59[/TD]
[TD]25[/TD]
[TD]100[/TD]
[TD]75[/TD]
[TD]25%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]02:00[/TD]
[TD]02:59[/TD]
[TD]26[/TD]
[TD]100[/TD]
[TD]74[/TD]
[TD]26%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]03:00[/TD]
[TD]03:59[/TD]
[TD]27[/TD]
[TD]100[/TD]
[TD]73[/TD]
[TD]27%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]04:00[/TD]
[TD]04:59[/TD]
[TD]28[/TD]
[TD]100[/TD]
[TD]72[/TD]
[TD]28%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]05:00[/TD]
[TD]05:59[/TD]
[TD]29[/TD]
[TD]100[/TD]
[TD]71[/TD]
[TD]29%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]06:00[/TD]
[TD]06:59[/TD]
[TD]30[/TD]
[TD]100[/TD]
[TD]70[/TD]
[TD]30%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]07:00[/TD]
[TD]07:59[/TD]
[TD]31[/TD]
[TD]100[/TD]
[TD]69[/TD]
[TD]31%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]08:00[/TD]
[TD]08:59[/TD]
[TD]32[/TD]
[TD]100[/TD]
[TD]68[/TD]
[TD]32%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]09:00[/TD]
[TD]09:59[/TD]
[TD]33[/TD]
[TD]100[/TD]
[TD]67[/TD]
[TD]33%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]10:00[/TD]
[TD]10:59[/TD]
[TD]34[/TD]
[TD]100[/TD]
[TD]66[/TD]
[TD]34%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]11:00[/TD]
[TD]11:59[/TD]
[TD]35[/TD]
[TD]100[/TD]
[TD]65[/TD]
[TD]35%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]12:00[/TD]
[TD]12:59[/TD]
[TD]36[/TD]
[TD]100[/TD]
[TD]64[/TD]
[TD]36%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]13:00[/TD]
[TD]13:59[/TD]
[TD]37[/TD]
[TD]100[/TD]
[TD]63[/TD]
[TD]37%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]14:00[/TD]
[TD]14:59[/TD]
[TD]38[/TD]
[TD]100[/TD]
[TD]62[/TD]
[TD]38%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]15:00[/TD]
[TD]15:59[/TD]
[TD]39[/TD]
[TD]100[/TD]
[TD]61[/TD]
[TD]39%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]16:00[/TD]
[TD]16:59[/TD]
[TD]40[/TD]
[TD]100[/TD]
[TD]60[/TD]
[TD]40%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]17:00[/TD]
[TD]17:59[/TD]
[TD]41[/TD]
[TD]100[/TD]
[TD]59[/TD]
[TD]41%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]18:00[/TD]
[TD]18:59[/TD]
[TD]42[/TD]
[TD]100[/TD]
[TD]58[/TD]
[TD]42%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]19:00[/TD]
[TD]19:59[/TD]
[TD]43[/TD]
[TD]100[/TD]
[TD]57[/TD]
[TD]43%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]20:00[/TD]
[TD]20:59[/TD]
[TD]44[/TD]
[TD]100[/TD]
[TD]56[/TD]
[TD]44%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]21:00[/TD]
[TD]21:59[/TD]
[TD]45[/TD]
[TD]100[/TD]
[TD]55[/TD]
[TD]45%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]22:00[/TD]
[TD]22:59[/TD]
[TD]46[/TD]
[TD]100[/TD]
[TD]54[/TD]
[TD]46%[/TD]
[/TR]
[TR]
[TD]02/04/2018[/TD]
[TD]23:00[/TD]
[TD]23:59[/TD]
[TD]47[/TD]
[TD]100[/TD]
[TD]53[/TD]
[TD]47%[/TD]
[/TR]
</tbody>[/TABLE]
I hope I have explained it clearly above, if there is anything that doesn’t make sense or not clear enough, please can you let me know, so I can try give more details.
Many thanks in advance for your time and help.
Much appreciated
