This repository's purpose is to contain the presentation project for the MNXB01 course.
In this folder are instructions to use the four student's different codes, as discussed in the presentation.
As discussed, our codes are fragmented and therefore each student will give instructions on how to use their code to reproduce their graphs.
Tom's Code
Program 1: TTreeAnalyser.C
(1) Open Root
(2) .L TTreeAnalyser.C++
(3) This will compile the script. If it doesn't, you might be in the wrong directory. Change to ProgramsAndCode to make it simple.
(4) Once the code has compiled, use the function "PlotTempForFile()"
(5) You will be prompted for the file you wish to see all temperatures of. Provided that a correct directory/file is given (see CleansedData for filenames) it will then provide a histogram of all the temperatures, as well as the mean and standard deviation.
(6) You can reproduce the plot in the report by using the CleansedLuleaData.csv.
Program 2: WeatherAnalyser.C
Instructions are not provided, because this code was not used in the report and cannot be used with the cleansed files due to the problems discussed in the presentation.
Sam's Code
Program 1: datacleaner.sh
(1) Find the 'datacleaner.sh' file within the ProgramsAndCode directory.
(2) Make sure the code is executable (though if everything is correct it should be anyway)
(3) Run the code with raw data, to do this we run it normally but have to path to the RawData directory. An example is ./datacleaner.sh ../RawData/uppsala_tm_1722-2013.dat
(4) The code should then prompt the user whether or not they would like the final form of the data in one file or two, one with date and time and the other with the temperatures. The user should then answer (y/n).
(5) The code will then determine if the file is of the standard smhi format or is in uppsala format. If in uppsala format it will change the format to standard cleansed format. The file should read out basic steps it is taking in its procces.
(6) The code should now output file(s) the names of which it should the user. The user should keep in mind that the output cleansed file will be in the same directory as datacleaner.sh
Program 2: yearcompare.C This is just the first step of my analysis process where I wanted to be able to visually compare two years temperatures built off an early version of Gustaf's code.
*** important *** if at any stage Root does not compile, close Root and open again
(1) Open Root
(2) .L yearcompare.C++
(3) This should compile the script. After this occures in Root run yearcompare()
(4) The user should be prompted by the code to imput the file that will be used for analysis. Please note all the cleansed files are in the directory CleansedData and are named after each town such as CleansedLundData.csv and example input is. ../CleansedData/CleansedBorasData.csv
(5) The file will then ask for the first year you want to compare. Please be aware that the library used does not take dates before 1996 and each file only contains information upto a given year. The year must be given in the format yyyy
(6) It will then ask for the second date which has similar constraints to the first.
(7) After both years have been entered the code will then create a graph to use for visual analysis and tell the user which year is represented by which line.
Program 2: eventanalysis.C This end result of my analysis, this allows the user to put in the date of an event and show how that event changed the air temperature in a specific location in the year in which it occured
*** important *** if at any stage Root does not compile, close Root and open again
(1) Open Root
(2) .L eventanalysis.C++
(3) This should compile the script. After this occures in Root run eventanlaysis()
(4) The user should be prompted by the code to imput the file that will be used for analysis. Please note all the cleansed files are in the directory CleansedData and are named after each town such as CleansedLundData.csv and example input is. ../CleansedData/CleansedBorasData.csv
(5) The file will then ask for the year of the event you want to analyse. Please be aware that the library used does not take dates before 1996 and each file only contains information upto a given year. The year must be given in the format yyyy
(6) It will then ask for the month of the event which must be in the format mm and then ask for the day of the event in the format dd. After this it will ask for the two years from which to average the temperatures between. Again be mindful of the fact it will not accept dates before 1996 and after the last full year of data entries.
(7) After all infomation has been entered the code will then create a graph to use for visual analysis and tell the user which line is the event year, which is the average and which represents the date of the event one wants to visually analyse.
Gustaf's Code
Tim's Code
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First navigate to the folder "ProgramsAndCode"
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Open root and compile using .L TempCompHist.C
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call the function TempCompHist(year1,year2,time,"place") in this you can specify which two years you would like to compare, the time and the place.
E.g "TempCompHist(1965,2005,18,"Lund")" would compare 1965 vs 2005 at time 18:00 in Lund.