mountaindude

let vStartOf2ndPreviousQuarter = Date(Floor(QuarterStart(Today(), -2)), 'YYYY-MM-DD');
let vStartOf2ndPreviousQuarterNum = Num(Date(Floor(QuarterStart(Today(), -2)), 'YYYY-MM-DD'));

let vStartOfPreviousQuarter = Date(Floor(QuarterStart(Today(), -1)), 'YYYY-MM-DD');
let vStartOfPreviousQuarterNum = Num(Date(Floor(QuarterStart(Today(), -1)), 'YYYY-MM-DD'));

let vStartOfCurrentQuarter = Date(Floor(QuarterStart(Today())), 'YYYY-MM-DD');
let vStartOfCurrentQuarterNum = Num(Date(Floor(QuarterStart(Today())), 'YYYY-MM-DD'));

let vStartOfPreviousMonth = Date(Floor(MonthStart(Today(), -1)), 'YYYY-MM-DD');

mountaindude

// Use in chart title/subtitle/footer for describing what data is shown in a chart, etc
='Chart contains data up until and including ' & Date(Max({1} Date), 'YYYY-MM-DD')

mountaindude

// List all QVDs that should be loaded
// In this example the QVDs have a filename format of YYYYMMDD.qvd
//
// The rationale for loading QVDs this way, rather than using something like 
//     load "/some/path/*.qvd" where date > SomeDate
// is that the latter will have to test the date field of all lines within all QVDs in that directory.
// That might take a long time (and it will become slower over time, if new QVDs are added every day), whereas the method
// used in the code below offers (very close to) constant loading time.
//
For each Filename in 'D:\path\to\qvds'

mountaindude

// General syntax for set analysis
{$<Product = Product + {OurProduct1} – {OurProduct2} >}

mountaindude

// Sum FieldName per the last available date we have data for, withinin the current selection
Sum( {$<DateNum={$(#=Max(DateNum))}>} FieldName)

mountaindude

// Load US high level regions (easter, southern, midwest etc) and divisions
// From https://en.wikipedia.org/wiki/List_of_regions_of_the_United_States
// Could also use https://www.npac.com/the-npac/about/npac-regions if more granularity is needed
US_States:
NoConcatenate Load
    [State code],
	[US census region],
    [US census division]
Inline [
State code,US census region,US census division

mountaindude

// The obvious way of finding the max/min value of a field might something like this:
//
// LOAD max(salesDate) Resident dataTable;
//
// However, if dataTable is very large (hundred of millions of lines or more, with many columns), the above will be  
// very slow, as we will end up traversing that entire table. 
//
// Instead, the fastest method of achieving the desired result is to load the FieldValue()s.
// We then only look at the values of the salesDate field itself, and not the entire dataTable table. 
// Performance gains by many orders of magnitude can be gained by using this method.

mountaindude

@echo off
REM wblGen.bat - v 1.0.0 - 2015-10-09
REM Description:
REM A simple batch file that automatically generates the wblfolder.wbl for your Qlik Sense visualization extension.
REM 
REM Author: Nate Untiedt - Analytics8 - nuntiedt@analytics8.com
REM
REM Credit to: http://stackoverflow.com/a/8387078

setlocal EnableDelayedExpansion

mountaindude

/*
General format:
curl -X POST --data-urlencode 'payload={"channel": "#sense-notification", "username": "webhookbot", "text": "This is posted to #sense-notification and comes from a bot named sensebot.", "icon_emoji": ":ghost:"}' https://hooks.slack.com/services/<....enter_your_key_here....>

Formatting: https://slack.zendesk.com/hc/en-us/articles/202288908-How-can-I-add-formatting-to-my-messages-
More formatting formatting: https://api.slack.com/docs/formatting
Slack API docs: https://api.slack.com/incoming-webhooks
Available emojis: http://www.emoji-cheat-sheet.com/
*/

mountaindude

var qsocks = require('qsocks')
var serializeApp = require('serializeapp')
var fs = require('fs-extra')
var Promise = require('promise')

function create(docname) {
		qsocks.Connect({appname: docname})
		.then(function(global) {
			return global.openDoc(docname)
		})