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In the field of Data Science, data is often formatted as a comma-delimited (CSV) file, where each line in a file corresponds to a field's value. Refer to Chapter 9 (p. 106) for more information on comma-delimited files. To answer this question, you will need to download the file Assignment1_denton_housing.csv included with this assignment. The file Assignment1_denton_housing.csv contains statistics about housing in the city of Denton from 2008 to 2014. Write a program to implement the following questions.

(1) (10 pts) Calculate the difference in the number of Occupied Housing Units from year to year and print it. The difference must be calculated for the consecutive years such as 2008-2009, 2009-2010 etc. Finally, print the values in the ascending order.

(2) (10 pts) For all the years, calculate the percentage of housing units which are vacant an occupied. Print the results in the following format:

Year Vacant Housing Units Occupied Housing Units. This is what I received:

/usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in __init__(self, src, **kwds) 2008 kwds["usecols"] = self.usecols 2009 -> 2010 self._reader = parsers.TextReader(src, **kwds) 2011 self.unnamed_cols = self._reader.unnamed_cols 2012 

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__() 

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source() 

FileNotFoundError: [Errno 2] No such file or directory: 'denton_housing.csv'