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Description
Experience Level: Expert
General information for the business: temperature prediction based on historical readings
Description of requirements/functionality: There is a csv or excel file containing dumped from thermometer hourly temperature readings for 10 years.
Data variables are datetime for each hour, and for each hour the maximum, the minimum, the start and the end temperatures.
Code is needed to automatically:
Remove Saturdays and Sundays.
Remove certain hours of the day, 0 to 3 windows or ranges of times possible to remove.
A variable (sample size) will specify the number of recent hours at the end of the data to use as the sample set, for example the last 12 hours could be used, last 4 or last 24. Whatever the user decides.
The code needs to scan the data and define a correlation of the sample set and each record+(sample set). So it would start and ready first x records (so if sample set was set at 12, it would read the 12 records from record 1-12 compared to the last 12 records in the data, and define correlations of temperatures, then 2-13, compare, 3-14 and so on.
Once all correlations are calculated, the code must pick out sets of data that correlate negatively or positively above a ‘hurdle number’, i.e. all above 0.8 and below -0.8
All sample set hours equal to or more than the hurdle must be captured and put into a separate text file named as the set number, i.e. set 1 was over 0.8 so file name is set1.txt, in set1 it should have on the first line the name of the set, the second line, the date time of the data, then a line per hour, having the hour and temperatures, one line per hour in the text file.
Each time the code is run it should delete the old set files in the directory to start fresh.
Specific technologies required: dont mind
OS requirements: Windows
Extra notes:
Description of requirements/functionality: There is a csv or excel file containing dumped from thermometer hourly temperature readings for 10 years.
Data variables are datetime for each hour, and for each hour the maximum, the minimum, the start and the end temperatures.
Code is needed to automatically:
Remove Saturdays and Sundays.
Remove certain hours of the day, 0 to 3 windows or ranges of times possible to remove.
A variable (sample size) will specify the number of recent hours at the end of the data to use as the sample set, for example the last 12 hours could be used, last 4 or last 24. Whatever the user decides.
The code needs to scan the data and define a correlation of the sample set and each record+(sample set). So it would start and ready first x records (so if sample set was set at 12, it would read the 12 records from record 1-12 compared to the last 12 records in the data, and define correlations of temperatures, then 2-13, compare, 3-14 and so on.
Once all correlations are calculated, the code must pick out sets of data that correlate negatively or positively above a ‘hurdle number’, i.e. all above 0.8 and below -0.8
All sample set hours equal to or more than the hurdle must be captured and put into a separate text file named as the set number, i.e. set 1 was over 0.8 so file name is set1.txt, in set1 it should have on the first line the name of the set, the second line, the date time of the data, then a line per hour, having the hour and temperatures, one line per hour in the text file.
Each time the code is run it should delete the old set files in the directory to start fresh.
Specific technologies required: dont mind
OS requirements: Windows
Extra notes:
David B.
100% (12)Projects Completed
10
Freelancers worked with
9
Projects awarded
58%
Last project
15 Aug 2022
United Kingdom
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