GitHub - p-disha/NYC-Open-Dataset-Analysis: Identified data types for each distinct column value on 1900 data sets. For each column, summarized semantic types present in the column, using Fuzzy Logic, Levenshtein distance. Identified & derived inference the 3 most frequent 311 complaint types by borough.

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Name		Name	Last commit message	Last commit date
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.gitattributes		.gitattributes
README.md		README.md
col_names_line_separated.txt		col_names_line_separated.txt
genericDataProfiling.py		genericDataProfiling.py
json_processing.py		json_processing.py
manual labelling - Sheet1.csv		manual labelling - Sheet1.csv
manual_labeling.csv		manual_labeling.csv
manual_labeling.tsv		manual_labeling.tsv
semanticProfiling.py		semanticProfiling.py
task2-manual-labels.json		task2-manual-labels.json
task2.json		task2.json
task2_manual_labeling.py		task2_manual_labeling.py
task2_scratch_code.py		task2_scratch_code.py
task3_final.py		task3_final.py
temp_data.txt		temp_data.txt

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Identified data types for each distinct column value on 1900 data sets. For each column, summarized semantic types present in the column, using Fuzzy Logic, Levenshtein distance. Identified & derived inference the 3 most frequent 311 complaint types by borough.