lezawang
Well-known Member
- Joined
- Mar 27, 2016
- Messages
- 1,805
- Office Version
- 2016
- Platform
- Windows
Hi
I would like to find out those days that either NY temperature of 29 or higher or LA had a temperature 26 or higher. I would like to know the date that it occurred and what the Price and Nextday-prices were. Any help would be very much appreciated. Thank you.
Sample of the data
[TABLE="class: grid, width: 560"]
<colgroup><col><col><col><col><col></colgroup><tbody>[TR]
[TD]Date[/TD]
[TD]NY temperature[/TD]
[TD]LA temperature[/TD]
[TD]Price[/TD]
[TD]Nextday price[/TD]
[/TR]
[TR]
[TD="align: right"]02/07/2018[/TD]
[TD="align: right"]32.22[/TD]
[TD="align: right"]26.91[/TD]
[TD="align: right"]49.92[/TD]
[TD="align: right"]69.88[/TD]
[/TR]
[TR]
[TD="align: right"]03/07/2018[/TD]
[TD="align: right"]32.85[/TD]
[TD="align: right"]28.51[/TD]
[TD="align: right"]48.81[/TD]
[TD="align: right"]54.3[/TD]
[/TR]
[TR]
[TD="align: right"]05/07/2018[/TD]
[TD="align: right"]30.69[/TD]
[TD="align: right"]24.58[/TD]
[TD="align: right"]53.43[/TD]
[TD="align: right"]43.77[/TD]
[/TR]
[TR]
[TD="align: right"]06/07/2018[/TD]
[TD="align: right"]28.92[/TD]
[TD="align: right"]23.16[/TD]
[TD="align: right"]30.02[/TD]
[TD="align: right"]35.19[/TD]
[/TR]
[TR]
[TD="align: right"]09/07/2018[/TD]
[TD="align: right"]27.74[/TD]
[TD="align: right"]25.52[/TD]
[TD="align: right"]40.59[/TD]
[TD="align: right"]34.6[/TD]
[/TR]
[TR]
[TD="align: right"]10/07/2018[/TD]
[TD="align: right"]32.22[/TD]
[TD="align: right"]26.98[/TD]
[TD="align: right"]44.87[/TD]
[TD="align: right"]42.53[/TD]
[/TR]
[TR]
[TD="align: right"]11/07/2018[/TD]
[TD="align: right"]31.08[/TD]
[TD="align: right"]24.13[/TD]
[TD="align: right"]42.01[/TD]
[TD="align: right"]38.76[/TD]
[/TR]
[TR]
[TD="align: right"]12/07/2018[/TD]
[TD="align: right"]28.51[/TD]
[TD="align: right"]23.96[/TD]
[TD="align: right"]34.69[/TD]
[TD="align: right"]36.94[/TD]
[/TR]
</tbody>[/TABLE]
.
.
.
[TABLE="class: grid, width: 560"]
<colgroup><col><col><col><col><col></colgroup><tbody>[TR]
[TD="align: right"]24/09/2018[/TD]
[TD="align: right"]19.06[/TD]
[TD="align: right"]17.15[/TD]
[TD="align: right"]23.27[/TD]
[TD="align: right"]31.95[/TD]
[/TR]
[TR]
[TD="align: right"]25/09/2018[/TD]
[TD="align: right"]24.55[/TD]
[TD="align: right"]20.03[/TD]
[TD="align: right"]31.98[/TD]
[TD="align: right"]37.05[/TD]
[/TR]
[TR]
[TD="align: right"]26/09/2018[/TD]
[TD="align: right"]26.22[/TD]
[TD="align: right"]19.17[/TD]
[TD="align: right"]35.34[/TD]
[TD="align: right"]37.4[/TD]
[/TR]
[TR]
[TD="align: right"]27/09/2018[/TD]
[TD="align: right"]17.01[/TD]
[TD="align: right"]14.34[/TD]
[TD="align: right"]27.04[/TD]
[TD="align: right"]32.37[/TD]
[/TR]
[TR]
[TD="align: right"]28/09/2018[/TD]
[TD="align: right"]20.56[/TD]
[TD="align: right"]16.63[/TD]
[TD="align: right"]30.24[/TD]
[TD="align: right"]30.97[/TD]
[/TR]
</tbody>[/TABLE]
The file can be downloaded here
https://drive.google.com/file/d/1G6K4jiLwNjLx4bllMxgmudJyGFCjPxTa/view?usp=sharing
I would like to find out those days that either NY temperature of 29 or higher or LA had a temperature 26 or higher. I would like to know the date that it occurred and what the Price and Nextday-prices were. Any help would be very much appreciated. Thank you.
Sample of the data
[TABLE="class: grid, width: 560"]
<colgroup><col><col><col><col><col></colgroup><tbody>[TR]
[TD]Date[/TD]
[TD]NY temperature[/TD]
[TD]LA temperature[/TD]
[TD]Price[/TD]
[TD]Nextday price[/TD]
[/TR]
[TR]
[TD="align: right"]02/07/2018[/TD]
[TD="align: right"]32.22[/TD]
[TD="align: right"]26.91[/TD]
[TD="align: right"]49.92[/TD]
[TD="align: right"]69.88[/TD]
[/TR]
[TR]
[TD="align: right"]03/07/2018[/TD]
[TD="align: right"]32.85[/TD]
[TD="align: right"]28.51[/TD]
[TD="align: right"]48.81[/TD]
[TD="align: right"]54.3[/TD]
[/TR]
[TR]
[TD="align: right"]05/07/2018[/TD]
[TD="align: right"]30.69[/TD]
[TD="align: right"]24.58[/TD]
[TD="align: right"]53.43[/TD]
[TD="align: right"]43.77[/TD]
[/TR]
[TR]
[TD="align: right"]06/07/2018[/TD]
[TD="align: right"]28.92[/TD]
[TD="align: right"]23.16[/TD]
[TD="align: right"]30.02[/TD]
[TD="align: right"]35.19[/TD]
[/TR]
[TR]
[TD="align: right"]09/07/2018[/TD]
[TD="align: right"]27.74[/TD]
[TD="align: right"]25.52[/TD]
[TD="align: right"]40.59[/TD]
[TD="align: right"]34.6[/TD]
[/TR]
[TR]
[TD="align: right"]10/07/2018[/TD]
[TD="align: right"]32.22[/TD]
[TD="align: right"]26.98[/TD]
[TD="align: right"]44.87[/TD]
[TD="align: right"]42.53[/TD]
[/TR]
[TR]
[TD="align: right"]11/07/2018[/TD]
[TD="align: right"]31.08[/TD]
[TD="align: right"]24.13[/TD]
[TD="align: right"]42.01[/TD]
[TD="align: right"]38.76[/TD]
[/TR]
[TR]
[TD="align: right"]12/07/2018[/TD]
[TD="align: right"]28.51[/TD]
[TD="align: right"]23.96[/TD]
[TD="align: right"]34.69[/TD]
[TD="align: right"]36.94[/TD]
[/TR]
</tbody>[/TABLE]
.
.
.
[TABLE="class: grid, width: 560"]
<colgroup><col><col><col><col><col></colgroup><tbody>[TR]
[TD="align: right"]24/09/2018[/TD]
[TD="align: right"]19.06[/TD]
[TD="align: right"]17.15[/TD]
[TD="align: right"]23.27[/TD]
[TD="align: right"]31.95[/TD]
[/TR]
[TR]
[TD="align: right"]25/09/2018[/TD]
[TD="align: right"]24.55[/TD]
[TD="align: right"]20.03[/TD]
[TD="align: right"]31.98[/TD]
[TD="align: right"]37.05[/TD]
[/TR]
[TR]
[TD="align: right"]26/09/2018[/TD]
[TD="align: right"]26.22[/TD]
[TD="align: right"]19.17[/TD]
[TD="align: right"]35.34[/TD]
[TD="align: right"]37.4[/TD]
[/TR]
[TR]
[TD="align: right"]27/09/2018[/TD]
[TD="align: right"]17.01[/TD]
[TD="align: right"]14.34[/TD]
[TD="align: right"]27.04[/TD]
[TD="align: right"]32.37[/TD]
[/TR]
[TR]
[TD="align: right"]28/09/2018[/TD]
[TD="align: right"]20.56[/TD]
[TD="align: right"]16.63[/TD]
[TD="align: right"]30.24[/TD]
[TD="align: right"]30.97[/TD]
[/TR]
</tbody>[/TABLE]
The file can be downloaded here
https://drive.google.com/file/d/1G6K4jiLwNjLx4bllMxgmudJyGFCjPxTa/view?usp=sharing