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p-disha / NYC-Open-Dataset-Analysis

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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.

visualization json big-data python3 pyspark levenshtein-distance matplotlib fuzzy-logic data-profiling big-data-analytics nyc-opendata nyc-open-data 311-data
  • Updated Apr 15, 2020
  • Python

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