Temperature Analysis with Python -- 2

Job ID: 34260083

Budget: €30 – €250 EUR

Hi,
I have a dataset related to the temperature archive for the last 73 years. This dataset is in 73 parts; that is, the part related to each year is separate. So we need to combine them first and get a single dataset. Secondly, we must find and specify the times and places where the temperature was above 50 degrees. Now it can only be done for each year; suppose, in these 73 years, the temperature has risen above 50 degrees a total of 47 times at 54 different places, so the code must have the ability to specify these.
The temperatures should be changed to siliceous.
I need the project's output in two ways and modes:
1. in the form of a table
2. On the map
The output should be obtained in the following ways:
1. The latitude and longitude are between -360 to 360 degrees and -90 to 90 degrees.
2. The Latitude and longitude change from -180 to 180 and 0 to 90.
They should be reduced so that the dataset volume becomes smaller.
So, as a result, we should have the following four outputs:
1. in the form of a table and for latitude and longitude of -360 to 360 degrees and -90 to 90 degrees
2. in the form of a table and for longitude and latitude -180 to 180 degrees and 0 to 90 degrees
3. On the map and for longitude and latitude, -360 to 360 degrees and -90 to 90 degrees
4. on the map and for longitude and latitude -180 to 180 degrees and 0 to 90 degrees
The meaning of the table is a table like Excel or CSV, and the map's purpose is that the points should be marked on a map similar to the attached examples.
I have attached what I have done in python, and you need to complete it. Also, you can find a code written in R for the map, but it is not for my dataset.
Here you can find the dataset:
https://1drv.ms/u/s!ArOIrsqGupdzhdsTZalpQ-uMi4NuHQ?e=4LYbuX
Thank you