!-- layout 4 4 4
This is first column
- foo
- bar
import brewery.streams | |
import brewery.nodes | |
import time | |
class FunctionSubstituteNode(brewery.nodes.Node): | |
"""Manipulate a field using a function. | |
This is a simpler version of DeriveNode(); a single field is passed in | |
rather than the entire record. | |
""" |
$(function(){ /* jQuery.ready */ | |
var Stream = Backbone.Model.extend({ | |
initialize: function() { /* do nothing */ }, | |
}); | |
window.streamsCollection = Backbone.Collection.extend({ | |
model: Stream, | |
url: "http://localhost:5000/streams", | |
{ | |
"label": "Basic Data Audit", | |
"description": "Provides basic data statistics, such as completeness", | |
"nodes" : { | |
"src": { | |
"type": "csv_source", | |
"resource": "https://raw.github.com/Stiivi/cubes/master/examples/hello_world/data.csv" | |
}, | |
"audit": { |
""" | |
Data Brewery - http://databrewery.org | |
Example: How to use a generator function as a streaming data source. | |
""" | |
import brewery | |
import random |
""" | |
Data Brewery Example | |
Aggregate a remote CSV file. | |
""" | |
import brewery | |
main = brewery.create_builder() | |
main.csv_source("https://raw.github.com/Stiivi/cubes/master/examples/hello_world/data.csv") |
""" | |
Brewery Example - basic audit of "unknown" CSV file. | |
Shows: | |
* record count | |
* null count and ratio | |
* number of distinct values | |
""" |
Jaj bože muj, jaj bože muj, co ja narobila. | |
Do jakoho, do jakoho ja śe zaľubila. | |
Do takoho, dotakoho pijaka lajdaka | |
co viplatu i zalohu prepije preflaka. | |
Vi dzvičatka, vi dzivčatka, na mne śe kajajce, | |
za pijakov, za lajdakov śe ňe vidavajce. | |
Bo s pijakom, bo s lajdakom zažijece križu, | |
prepije vam, prepije vam perinu i chižu. |
{ | |
"name" : "vvo", | |
"locale":"en", | |
"cubes": { | |
"contracts" : { | |
"name": "contracts", | |
"measures": { | |
"zmluva_hodnota": {"label": "Contract amount"} | |
}, | |
"details": [ |
from sqlalchemy import * | |
from sqlalchemy import sql | |
def create_table(url, schema=None): | |
engine = create_engine(url) | |
metadata = MetaData(engine, reflect=True) | |
table = Table("test_table", metadata, schema=schema) | |
if table.exists(): | |
table.drop() |