Employment and wage data courtesy the US Federal Government Bureau of Labor and Statistics
- https://www.bls.gov/cew/datatoc.htm
- https://data.bls.gov/cew/doc/titles/industry/industry_titles.htm
- https://data.bls.gov/cew/doc/titles/area/area_titles.htm
- https://data.bls.gov/cew/doc/titles/ownership/ownership_titles.htm
- https://data.bls.gov/cew/doc/layouts/csv_annual_layout.htm
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I have added function prototypes to ListSort.hpp describing functions that you should implement. Each of the new sort functions need a corresponding comparator. You may have written these comparators for HW3, and are free to re-use them here as the new listsort() function is compatible with qsort()-style comparators. The difference this time is that your comparators must break ties by sorting on the FIPS area code as a secondary key.
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For HW5 you are required to compute counts of unique and distinct wages. If you have already impemented this functionality in HW4 without sorting the lists, you will now have to re-implement this using the listsort() function. Additionally, the new Report asks for you to also count unique and distinct employment levels and numbers of establishments per FIPS area.
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Your program must clean up after itself, and Valgrind must report no leaks in your own code. Leaks in standard libararies are not your responsibility.
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Your program must not abort on memory errors as found by the Address Sanitizer, (enabled by g++'s -fsanitize=address flag). We'll look for this as we grade your submission; this means that you should test this yourself.
Pull my latest changes into your master branch and find the files under the sample_output/ directory to see what your program's final output ought to look like, as well as what Valgrind ought to report for your program.
The output of your program when built with -fsanitize=address should be identical to its ordinary output. In other words, ASAN should not find any problems at all.
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You should not modify the files in the data/ directory in order to make your program work properly. This includes renaming the files. We will grade your work by using files with different contents than the working set you were provided. If your program requires that the input files be formatted in a particular way to ensure proper operation, your submission will not fare well upon grading.
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You are no longer required to compute counts of unique and distinct wages. If you have already impemented these functions you are eligible for some extra credit points. Please leave a note for the grader on your Canvas submission to let them know to look for the code. The rubric has been updated to reflect this change in requirements.
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I have added function prototypes to ListStats.hpp describing functions that you should implement, but which were left out of the initial version of this file. These functions correspond to statistics which have been required from the start, and some of you may have already written your own functions to make these computations. If you have already written these functions, you don't have to change them to match my suggested names or function signatures. I'm not particular about the names of the functions, but I do want you to write modular, well-named code.
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You are required to use my Report class (unmodified) for output. Just because it isn't listed on the rubric doesn't mean that this is optional.
This assignment is to implement a similar system to your previous homework using linked-lists instead of arrays.
The Employment class is now a data structures suitable to be linked together into a singly-linked list.
Instead of a database of hardcoded arrays, this iteration of the assignent provides the same data in several text files under the data/ directory.
Implement the functions named in List.hpp. These functions will convert text files (e.g. data/01.txt, data/02.txt, etc.) into linked lists of Employment objects, print the items in the lists, measure their length and join them together into one list.
Next, write implementations for the functions named in ListStats.hpp which will traverse your mega-list looking for minimum, maximum values, counting unique and distinct elements, and computing the population standard deviation.
Finally, instantiate a Report object (newly-updated for this assignment) and fill in all of its members with the outcome of your statistical functions. You are free to create any helper functions to assist you in traversing your lists and filling out the Report object for final submission.