emorisse

function histogram(data, bins=5) {
  
    const min = Math.min(...data)
    const max = Math.max(...data)

    const size = Math.ceil((max-min)/bins)

    var histogram = new Array(bins).fill(0);
  
    for (const item of data) {

emorisse

p <- ggplot(tset2, aes(x=weekweek, y=count, group = term)) + 
  geom_line() + 
  geom_segment(aes(xend = max(tset$weekweek), yend = count), linetype=2) + 
  geom_point() + 
  geom_text(aes(x = max(tset$weekweek)+1, label = term)) + 
  scale_x_datetime() +
  scale_y_continuous(labels=comma) +
  transition_reveal(term, weekweek) + 
  ease_aes('linear') +
  theme_tufte(base_family="Overpass")

emorisse

search <- read.csv("latest.search.csv", stringsAsFactors = FALSE)
openstack.month <- "2009-09"
search <- search[which(search$Month == openstack.month):nrow(search),]

search$austin <- 0
austin.month <- which(search$Month == "2016-04")
search[austin.month:nrow(search),]$austin <- 1

# test for stationary data
library(tseries)

emorisse

function onOpen() {
 var menu = [{name: "Borders for nonempty cells", functionName: "borders"}];
 SpreadsheetApp.getActiveSpreadsheet().addMenu("Custom", menu);
}

function borders() {
  var range = SpreadsheetApp.getActiveSheet().getRange("C2:O20");
  range.setBorder(false, false, false, false, false, false);
  var values = range.getValues();
  var borders = range.getValues();

emorisse

West Village

• Gottino wine bar
• Bluestone Lane cafe for breakfast and coffee
• Woogies for wings and cheese steaks
• walk the highline - park along old railroad tracks. Beautiful day or night.
• Employees only cocktail bar
• Big Gay Ice cream

Chelsea

• Chelsea market for food

emorisse

# Source: http://serverfault.com/a/532600
Floor () 
{ 
    DIVIDEND=${1};
    DIVISOR=${2};
    RESULT=$(( ( ${DIVIDEND} - ( ${DIVIDEND} % ${DIVISOR}) )/${DIVISOR} ));
    echo ${RESULT}
}
Timecount () 
{ 

emorisse

{   
  "aggs" : { 
    "messages" : { 
      "filters" : { 
        "filters" : { 
          "192.168.0.3" : { "term" : { "rsyslog.fromhost-ip" : "192.168.0.3" }},
          "192.168.0.4" : { "term" : { "rsyslog.fromhost-ip" : "192.168.0.4" }},
          "192.168.0.5" : { "term" : { "rsyslog.fromhost-ip" : "192.168.0.5" }},
          "192.168.0.6" : { "term" : { "rsyslog.fromhost-ip" : "192.168.0.6" }},
          "192.168.0.7" : { "term" : { "rsyslog.fromhost-ip" : "192.168.0.7" }},

emorisse

What is Data Anonymity?

http://en.wikipedia.org/wiki/Data_anonymization

Why Data Anonymity?

• Encourage release of data while protecting individuals/organizations
• Enable wider set of consumers of data
• Think through why (and whether) the data should be anonymized. Example policy discussion on NYC taxi data

Recommendations (up for debate)

• Use of good hashing practices