I have attached a power point presentation from week 7 which is a comprehensive overview of what the paper should be about all you have to do is put it in an essay that covers 8-110 pages not including title or references. instructions below.Assignment InstructionsPrepare a 8-10 page double-spaced (not including title or reference pages) research paper based on any topic in the text or something covered in this class. Please note the Presentation is from week 7 should be a comprehensive detailed overview of this paper Paper organization will include:Introduction Clearly define the problem, issue, or desired topic that was researched.Starts out broad and becomes more and more specific. Body Present the relevant literature and ideas.Identify relations, contradictions, gaps, and inconsistencies in the literature.Possible solutions to any problem(s) identified. ConclusionReferences (at least ten).Instructions:An in-depth submission that is free of spelling and grammar errors in APA format.Double-spaced format (APA) with a readable style and font and submitted inside the electronic classroom (unless classroom access is not possible and other arrangements have been approved by the professor). 12-point font Times New Roman styles.Page margins Top, Bottom, Left Side and Right Side = 1 inch, with reasonable accommodation being made for special situations and online submission variancesImportant: Good academic writing requires writers to cite the sources of all facts in text. If you state that the sky is blue then you must cite who said it. A good rule of thumb is one citation per paragraph; paragraphs 3-5 sentences (This is how to avoid unintentional plagiarism). Papers are always written in third person past tense as you are writing about events in the past from the point of view of an observer. The student or writer proposed; One must observe; The leaders at APUS choose the following systems....for the following reasons:

Using the environmental data for each of the provinces in Canada, and weighting each piece of data by the number of cities in the province, calculate the mean temperature, mean high temperature, mean low temperature, and mean precipitation for all of CanadaIn each case, write a program using your choice of Spark or Hadoop (map/reduce) and the language of your choice. It would make sense to treat the data as manipulation of matrices. Do not assume that the input data is all on the same node.If Spark, your submission should include the Spark program, and the answers (probably in a matrix of the same form as the input matrices.If Hadoop, our submission should be copied into MSWord, and should include (in one file):Your “mapper” programThe K/V value pairs emitted by your mapperYour “reducer” programThe K/V pairs emitted by your reducerThe Answers

I have a running and executing code that works but I need to remove certain data from the output file. Furthermore, I need another data entered as a header, "DBN", "School Name", "Number of Test Takers", "Critical Reading Mean", "Mathematics Mean", "Writing Mean" My code will be provided: import json class SatData:    def __init__(self):        with open('sat.json', 'r') as f:            self._data = json.load(f)['data']    def save_as_csv(self, dbns):        sat_list = []        for data in self._data:            if data[8] in dbns:                sat_list.append(data)        with open('output.csv', 'w+') as outfile:            header = [str(i) for i in range(len(sat_list[3]))]            outfile.write            for row in sat_list:                sat_info = []                for item in row:                    if ',' in str(item):                        sat_info.append("\"" + item + "\"")                    else:                        sat_info.append(str(item))                outfile.write(','.join(sat_info))                outfile.write('\n')        outfile.close() sd = SatData() dbns = ["02M303", "02M294", "01M450", "02M418"] sd.save_as_csv(dbns) For this project, you will import the json module. Write a class named SatData that reads a JSON file containing data on 2010 SAT results for New York City and writes the data to a text file in CSV format (CSV is a vendor-neutral format for spreadsheets, which uses commas to separate values). Your class just needs to read a local JSON file - it doesn't need to access the internet. Specifically, your class should have an init method that reads the file, and it should have a method named save_as_csv that takes as a parameter a list of DBNs (district bureau numbers) and saves a CSV file that looks like this, but with only the rows corresponding to the DBNs in the list (and also the row of column headers). Open the file as a text file rather than as a spreadsheet, so that you can see the CSV syntax. You may assume that all of the DBNs in the list passed to your method are all present in the JSON file. The rows in the CSV file must be sorted in ascending order by DBN. The name of the file must be output.csv. There is a csv module for Python, but you will not use it for this project. CSV is a very simple format - just commas separating columns and newlines separating rows (see note below about commas in field names). The JSON file will be named sat.json and will be provided - you do not need to submit it. Any data members of the SatData class must be private. For example, your class could be used like this: sd = SatData() dbns = ["02M303", "02M294", "01M450", "02M418"] sd.save_as_csv(dbns) You may hardcode the column headers. Some of the school names contain one or more commas. How should you preserve such a name as a single field in CSV format, since commas normally separate fields? The correct way to handle that is to enclose such names in double quotes in your CSV file. If you open up the example CSV file in a text editor, you can see that's what it does. The file must be named: SatData.py