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Open Data Analysis

Please read README.txt in each directory to find the instruction to run the source code. Below is the brief description of each directory:

download

  • Download datasets in JSON format. (Shell script)

schema_similarity

  • Compute the similarity between schemata. (Python)

matrix_heatmap

  • (Figure 8) Generate matrix heatmap using schema similarity scores. (Java Script)

metadata

  • Retrieve metadata including tags, schema, description using Socrata APIs. (Python)

tagcloud

  • (Figure 5) Generate tag cloud using tags associated with the dataset. (R)
  • Require result from metadata

type_detection

  • Detect attribute type (Python)

barchart (Require result from type_detection)

  • (Figure 9) Generate a barchart of data type ratio across cities. (Python)

extract_zipcode_latlon

  • Read result from type_detection and extract all lat/lon, zipcode values. (Python)
  • Require result from type_detection

latlon_to_zipcode

  • Convert lat/long to zipcode. (C++)

heatmap

  • (Figure 12) Generate a heat map of geographical coverage based on zip code values in NYC and Chicago. (Python)
  • Require result from extract_zipcode_latlon and latlon_to_zipcode

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