VARIABLES in WordsCount

GLOBALS by order of appearance
		
nl, tb, sp, lb, hy, null = "\n", "\t", " ", "#", "-", "" < string >
	some handy strings to use as variables 

symbol_words = ['&'] < string >
	list of acceptable single character non alpha words

base_path < string >
	sets the base directory where being run

char = re.compile(r"""[\s\.,:;!?"\(\)\[\]]+""") < _sre.SRE_Pattern >
	characters to help decide where to split words

total_words_dict < dictionary > *(1)
	will eventually contain all the words in all files

ans = "Y" < string >
	default answer to pass test if not asked later 

count = 0 < integer >
	global count

low_range < integer >
	low range in percentage of documents with word

high_range < integer >
	high range in percentage of documents with word

stat_dir < boolean >
	boolean to see if directories needed already exist

ans < string >
	result of user input to create needed directories

text_dir < string >
	name of the directory containing original text documents

file_count < integer >
	total number of text files in text_dir

text_file < string >
	name of individual item in text_dir and is skipped if it is not 
	a file and something else like a directory may break things if 
	it is not a text file

content < string >
	complete text of current file, txt_file

words < list >
	list of content split into basic words

good_words < list >
	list of refined words in individual file (txt_file)

file_words_dict < dictionary >
	dictionary of word/count of current txt_file

file_words_list < list >
	list of unique words from file_words_dict keys (current file)

total_words_dict < dictionary > *(1)
	see above, It actually gets created here using above variables along with
	some local variables within functions.
	All unique words are now in the dictionary, total_words_dict 

pct_lst < list >
	list of all unique words with % of documents in which they appear

list_range < list >
	list of all words with % value in a given % range

pos_lst

neg_lst 

* Notes
(1) Most important single object in module, contains each unique word as key to dictionary and name of file(s) in which word appears along with a count of how many times that word appears in that file.