Open data often comes with little or no metadata. You will profile a large collection of open data sets and derive metadata that can be used for data discovery, querying, and identification of data quality problems. For each column, identify and summarize the semantic types present in the column. These can be generic types (e.g., city, state) or collection-specific types (NYU school names, NYC agency). For each semantic type T identified, enumerate all the values encountered for T in all columns present in the collection.
Features
- Number of non-empty cells
- Number of empty cells (i.e., cell with no data)
- Top-5 most frequent value(s)
- Data types (a column may contain values belonging to multiple types)
- Semantic Profiling
- Data Analysis
Categories
Data ProfilingLicense
MIT LicenseFollow NYCOpenData-Profiling-Analysis
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