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Handling Missing Data in Statistics Calculations

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Abstract

In this chapter we look at a case study of processing the Met Office historic data files and generating statistics accommodating missing data values. Several steps are involved

  • a program to download and save the data files locally.

  • a sed script to convert the missing values.

  • a modified statistics module that will process and report on missing values.

  • a module that encapsulates the Met Office station data information.

  • a program that actually does the calculations and generates the summary information.

  • a site description module that encapsulates the site information.

  • a program to generate the site information summary data.

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  • DOI: 10.1007/978-3-319-75502-1_39
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Correspondence to Ian Chivers .

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Chivers, I., Sleightholme, J. (2018). Handling Missing Data in Statistics Calculations. In: Introduction to Programming with Fortran. Springer, Cham. https://doi.org/10.1007/978-3-319-75502-1_39

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  • DOI: https://doi.org/10.1007/978-3-319-75502-1_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75501-4

  • Online ISBN: 978-3-319-75502-1

  • eBook Packages: Computer ScienceComputer Science (R0)