Lucas Verra lucasverra

Design Doc Uv USER self management

Stakeholders

List stakeholders for project/feature.

Role	Person
Dev Owner	Jean Michel (Uv team)
Other Dev 1 (Engine)	Freelancer to be hired

Design Doc Title

Stakeholders

List stakeholders for project/feature.

Role	Person
Dev Owner
Other Dev 1 (Engine)

Make Effective Data Visualization Project

Data Story

Due to a new entrepreneurial adventure related to airlines passengers experiences, I wanted to have an insight on traffic departure delays.

In that regard, I took the data from the US “Research and Innovative Technology Administration ” (RITA) data base From a customer point of view, I did not care about the different types of delays (CarrierDelay, WeatherDelay, NASDelay, SecurityDelay, LateAircraftDelay) so I aggregated (by sum) all of them into one variable : TotalDalay.

	[['company', req.params.message.toString()]]
	[{'company': req.params.message.toString()}]
	["fields": {"company": req.params.message.toString()}}]
	[{Company:req.params.message.toString()}]

	// tested and works fine
	ML.Subscribers.addSubscriber(9301656,req.params.email.toString(),req.params.name.toString(),[],1).then(
	function(data) {
	console.log(data);
	res.send(data);

	[
	{
	"status": "success",
	"flight": "AA1134",
	"sender": "160.48.199.149",
	"created_at": "2017-08-11T12:23:07+00:00",
	"terminal_id": "EZE2",
	"token_voucher": "b14i4ok",
	"checkout_id": "EZE2_Paul_1",
	"airline_id": "Air Korea",

	[
	{
	"spent_at": "2017-08-11T12:23:07+00:00",
	"read_at": "2017-08-11T10:57:42+00:00",
	"flight": "AA1134",
	"created_at": "2017-08-11T10:36:53+00:00",
	"terminal_id": "EZE2",
	"token": "b14i4ok",
	"store_proposal": [],
	"airline_id": "Air Korea",

	import re
	d2 = 0
	cumul_raw = 0

	with open('instru.txt', 'r') as f:

	for line in f:
	line=line.rstrip()
	d2+=4

	import re;
	handler = open('instru.txt', 'r')
	contador=0
	acciones = 0

	# create the 1000*1000 matrix
	light_park = []
	dim = []
	for i in xrange(1000):
	dim = []