stuartlynn

var geojson = {
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "properties": {},
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [

stuartlynn

stuartlynn

stuartlynn

require 'mongo'

client = Mongo::MongoClient.new 
db     = client["ouroboros"]

stats = {}
total = db["galaxy_zoo_classifications"].count
done  = 0 

db["galaxy_zoo_classifications"].find.each do |classification|

stuartlynn

select application_identifier, count(*), count(distinct zooniverse_user_id) from classifications where zooniverse_user_id is not null group by application_identifier

select application_identifier, count(*), count(distinct session_id) from classifications where zooniverse_user_id is  null group by application_identifier

stuartlynn

import kplr
import json
import csv
import code
import numpy as np
import sys
from itertools import izip

stuartlynn

require 'pg'
require 'rmagick'
require 'pry'
require 'json'
require 'date'

client = PG.connect(dbname: "world")

no_rows  = 20#40
no_colls = 20#40

stuartlynn

require 'json'
require 'pry'
require 'aws-sdk'
require 'bson'


AWS.config access_key_id: ENV['S3_ACCESS_ID'], secret_access_key: ENV['S3_SECRET_KEY']
s3 = AWS::S3.new
bucket = s3.buckets['zooniverse-static']

stuartlynn

{
 "metadata": {
  "name": "Minicourse Analysis"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

stuartlynn

require 'pry'
require 'bson'
require 'json'

manifest = []
outfile = 'for_testing'
blank_images = []


["MRE11 TMAs.zip"].each do |zip_name|