Kande Bonfim kandebonfim

## index.html
<!DOCTYPE html>
<html lang="en">
<head>
	<meta charset="UTF-8">
	<title>Título da sua página</title>
</head>
<body>

</body>
</html>

## array_random_numbers_coffeescript
random = (min, max) =>
    Math.floor(Math.random() * (max - min) + min)

data = [1..100].map(() -> random(0,1000))
           ↑↑↑ Array length

// One line
data = [1..100].map(() -> Math.floor(Math.random() * (1000 - 0) + 0))
           ↑↑↑ Array length                           ↑max   ↑min ↑min

## script.js
var str = 'www.maybeyourwebsite.here'

document.querySelectorAll('a').forEach(function(e) {
  if (e.href.indexOf(str) > 0) {
    console.log(e.href)
  };
})

## My sublime config
{
	"always_show_minimap_viewport": true,
	"bold_folder_labels": true,
	"color_scheme": "Packages/Material Theme/schemes/Material-Theme.tmTheme",
	"ensure_newline_at_eof_on_save": true,
	"file_exclude_patterns":
	[
		"*.DS_store",
		"*.gem",
		"*.gz",

## links.md

      
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                kandebonfim
                / links.md
            
            
              Last active
              December 27, 2016 15:31
            
              
                Useful data analysis links
              
          
    Unique rows

http://stackoverflow.com/questions/13967063/remove-duplicate-rows-in-r
Ignore NA values

http://www.statmethods.net/input/missingdata.html
Correlation in R

http://www.statmethods.net/stats/correlations.html
Correlation plot introduction


## script.js
var allCards = document.querySelectorAll('.card-project')
var cards = [];
allCards.forEach( function(element, index) {
  var currElem = {}
  var name = element.querySelector('.link-hidden')
  var author = element.querySelector('.w-hidden-small.w-hidden-tiny.fontsize-smallest.fontcolor-secondary.u-marginbottom-20')
  var description = element.querySelector('.w-hidden-small.w-hidden-tiny.fontcolor-secondary.fontsize-smaller .link-hidden')
  var percentage = element.querySelector('.card-project-stats .fontsize-base.fontweight-semibold')
  var money = element.querySelector('.card-project-stats .fontsize-smaller.fontweight-semibold')
  currElem.name = name.innerText;

## travelling-salesman-problem-in-r.R
library(TSP)
library(tspmeta)

coords.df <- data.frame(long=runif(40, min=0, max=100), lat=runif(40, min=0, max=100))
coords.mx <- as.matrix(coords.df)

# Compute distance matrix
dist.mx <- dist(coords.mx)

# Construct a TSP object

## gist:2d40dd70c78b64c000e39b4bbc26788a
date,revenue,margin
24-Apr-07,93.24,80
25-Apr-07,95.35,73.5
26-Apr-07,98.84,72.6
27-Apr-07,99.92,92.5
30-Apr-07,99.80,99
1-May-07,99.47,101
2-May-07,100.39,102
3-May-07,100.40,99
4-May-07,100.81,106

## 4weeks
[{"UNITS":216863.95,"AVG_SALE_PRICE":27.4027,"Date":1490918400000,"MARGIN":5942659.315,"REVENUE":1.700522824E7,"CONVERSION":2.02,"PAGEVIEWS":486060.09,"UNITS_PER_ORDER":1.9747},{"UNITS":203857.95,"AVG_SALE_PRICE":27.4316,"Date":1490832000000,"MARGIN":5592153.693,"REVENUE":1.557704542E7,"CONVERSION":2.09,"PAGEVIEWS":472342.68,"UNITS_PER_ORDER":1.9478},{"UNITS":191919.68,"AVG_SALE_PRICE":27.5003,"Date":1490745600000,"MARGIN":5277862.032,"REVENUE":1.474203095E7,"CONVERSION":2.11,"PAGEVIEWS":458506.18,"UNITS_PER_ORDER":1.9253},{"UNITS":187973.59,"AVG_SALE_PRICE":27.6123,"Date":1490659200000,"MARGIN":5190392.777,"REVENUE":1.51979661E7,"CONVERSION":2.07,"PAGEVIEWS":458921.95,"UNITS_PER_ORDER":1.8987},{"UNITS":201077.68,"AVG_SALE_PRICE":27.7819,"Date":1490572800000,"MARGIN":5586336.623,"REVENUE":1.747735456E7,"CONVERSION":2.03,"PAGEVIEWS":480242.68,"UNITS_PER_ORDER":1.9171},{"UNITS":215274.09,"AVG_SALE_PRICE":27.95,"Date":1490486400000,"MARGIN":6016915.571,"REVENUE":1.946879568E7,"CONVERSION":2.02,"PAGEVIEWS":504199

## postgree_server.sh
# Start Manually
pg_ctl -D /usr/local/var/postgres -l /usr/local/var/postgres/server.log start

# Stop Manually
pg_ctl -D /usr/local/var/postgres stop -s -m fast
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<title>Título da sua página</title>
	</head>
	<body>

	</body>
	</html>
	random = (min, max) =>
	Math.floor(Math.random() * (max - min) + min)

	data = [1..100].map(() -> random(0,1000))
	↑↑↑ Array length

	// One line
	data = [1..100].map(() -> Math.floor(Math.random() * (1000 - 0) + 0))
	↑↑↑ Array length ↑max ↑min ↑min
	var str = 'www.maybeyourwebsite.here'

	document.querySelectorAll('a').forEach(function(e) {
	if (e.href.indexOf(str) > 0) {
	console.log(e.href)
	};
	})
	{
	"always_show_minimap_viewport": true,
	"bold_folder_labels": true,
	"color_scheme": "Packages/Material Theme/schemes/Material-Theme.tmTheme",
	"ensure_newline_at_eof_on_save": true,
	"file_exclude_patterns":
	[
	"*.DS_store",
	"*.gem",
	"*.gz",
	var allCards = document.querySelectorAll('.card-project')
	var cards = [];
	allCards.forEach( function(element, index) {
	var currElem = {}
	var name = element.querySelector('.link-hidden')
	var author = element.querySelector('.w-hidden-small.w-hidden-tiny.fontsize-smallest.fontcolor-secondary.u-marginbottom-20')
	var description = element.querySelector('.w-hidden-small.w-hidden-tiny.fontcolor-secondary.fontsize-smaller .link-hidden')
	var percentage = element.querySelector('.card-project-stats .fontsize-base.fontweight-semibold')
	var money = element.querySelector('.card-project-stats .fontsize-smaller.fontweight-semibold')
	currElem.name = name.innerText;
	library(TSP)
	library(tspmeta)

	coords.df <- data.frame(long=runif(40, min=0, max=100), lat=runif(40, min=0, max=100))
	coords.mx <- as.matrix(coords.df)

	# Compute distance matrix
	dist.mx <- dist(coords.mx)

	# Construct a TSP object
	date,revenue,margin
	24-Apr-07,93.24,80
	25-Apr-07,95.35,73.5
	26-Apr-07,98.84,72.6
	27-Apr-07,99.92,92.5
	30-Apr-07,99.80,99
	1-May-07,99.47,101
	2-May-07,100.39,102
	3-May-07,100.40,99
	4-May-07,100.81,106
	# Start Manually
	pg_ctl -D /usr/local/var/postgres -l /usr/local/var/postgres/server.log start

	# Stop Manually
	pg_ctl -D /usr/local/var/postgres stop -s -m fast