0.2.1 • Published 1 year ago
synopsize v0.2.1
synopsize
Summarize tables of structured data, such as CSV or JSON!
$ npm install -g synopsizeExample, using Capital Metro's fare_rules.txt:
$ synopsize < fare_rules.txt
[0] "fare_id"
  Type: TEXT
  No missing values (83 total)
  There are 3 unique values, which range from a to c
    a: 63
    b: 11
    c: 9
[1] "route_id"
  Type: INTEGER
  No missing values (83 total)
  All values are unique and range from 1 to 990
  10 random examples:
    982
    987
    985
    983
    7
    935
    681
    803
    801
    663
[2] "origin_id"
  Type: TEXT
  83 missing values (out of 83 total), or 100.00%
  No values to show
[3] "destination_id"
  Type: TEXT
  83 missing values (out of 83 total), or 100.00%
  No values to show
[4] "contains_id"
  Type: TEXT
  83 missing values (out of 83 total), or 100.00%
  No values to showTo-do
- Support newline-delimited JSON as input
 - Infer more complex types
- come up with better names / descriptions
 - custom sort (
compareFunction) for each type 
 - Draw histograms for continuous types
 - Smarter examples when showing random samples
 - Add option to sort by count instead of value
 - Width-aware padded output, especially for long values and the value: count tables
 - Generalize for CLI / web consumption
 
License
Copyright 2016 Christopher Brown. MIT Licensed