dataset.yaml

# This file defines a qri dataset. Change this file, save it, then from a terminal run:
# $ qri add --file=dataset.yaml
# For more info check out https://qri.io/docs

# Name is a short name for working with this dataset without spaces for example:
# "my_dataset" or "number_of_cows_that_have_jumped_the_moon"
# name is required
name: 2014_Democratic_Gubernatorial_Primary_Results

# Commit contains notes about this dataset at the time it was saved
# all commit stuff is optional (one will be generated for you if you don't provide one)
commit:
  title: initial commit
  message: use transform to pull down json from repo that parses pdf data

# Structure contains the info a computer needs to interpret this dataset
# qri will figure structure out for you if you don't one
# and later you can change structure to do neat stuff like validate your
# data and make your data work with other datasets.
# Below is an example structure
structure:
  # Syntax in JSON format:
  format: json
  # Schema defines the "shape" data should take, here we're saying
  # data should be an array of strings, like this: ["foo", "bar", "baz"]
  schema:
    type: array
    items:
      type: array
      items:
        - description: county
          title: county
          type: string
        - description: votes for candidate Zephyr R. Teachout
          title: Zephyr R. Teachout
          type: integer
        - description: votes for candidate Andrew M. Cuomo
          title: Andrew M. Cuomo
          type: integer
        - description: votes for candidate Randy A. Credico
          title: Randy A. Credico
          type: integer

meta:
  title: Gubernatorial Democratic Primary Results 2014
  description: Pulled from a repo that parsed the official pdf containing the 2014 Democratic Gubernatorial Primary voting results.

# Transform contains instructions for creating repeatable, auditable scripts
# that qri can execute for you. Currently transforms are written in the skylark
# scripting language, which is modeled after the python programming language
# for more info check https://qri.io/docs/transforms
transform:
  scriptpath: tf.sky

# use viz to provide custom a HTML template of your dataset
# the currently accepted syntax is 'html'
# scriptpath is the path to your template, relative to this file:
# viz:
#   syntax: html
#   scriptpath: template.html

# the body of a dataset is data itself. either a path to a file on your computer,
# or a URL that leads to the raw data
# bodyPath: