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

lucasverra

Design Doc Title

Stakeholders

List stakeholders for project/feature.

Role	Person
Dev Owner
Other Dev 1 (Engine)

lucasverra

[['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);

lucasverra

[
  {
    "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",

lucasverra

[
  {
    "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",

lucasverra

lucasverra

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.

lucasverra

import re
d2 = 0
cumul_raw = 0

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

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

lucasverra

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 = []