Ben Wellington: How we found the worst place to park in New York City — using big data

Prevodilac: Mile Živković Lektor: Milenka Okuka

Six thousand miles of road,

9600 kilometara puteva,

600 miles of subway track,

960 kilometara podzemne železnice,

400 miles of bike lanes

640 kilometara staza za bicikl

and a half a mile of tram track,

i 800 metara tramvajskih šina,

if you've ever been to Roosevelt Island.

ako ste ikada bili na ostrvu Ruzvelt.

These are the numbers that make up the infrastructure of New York City.

Ovo su brojke koje čine infrastrukturu Njujorka.

These are the statistics of our infrastructure.

Ovo je statistika naše infrastrukture.

They're the kind of numbers you can find released in reports by city agencies.

Ovakve brojke možete naći objavljene u izveštajima gradskih agencija.

For example, the Department of Transportation will probably tell you

Na primer, Odsek za transport će vam verovatno reći

koliko kilometara puteva održavaju.

how many miles of road they maintain.

The MTA will boast how many miles of subway track there are.

Uprava transporta Metropolitena pohvaliće se koliko pruge postoji.

Most city agencies give us statistics.

Većina gradskih agencija daje statistiku.

This is from a report this year

Ovo je izveštaj za ovu godinu

from the Taxi and Limousine Commission,

od Komisije za taksije i limuzine

where we learn that there's about 13,500 taxis here in New York City.

iz kog vidimo da postoji 13 500 taksija u Njujorku.

Pretty interesting, right?

Interesantno, zar ne?

But did you ever think about where these numbers came from?

Da li ste razmišljali odakle ove brojke?

Because for these numbers to exist, someone at the city agency

Kako bi ove brojke postojale, neko iz gradske agencije

had to stop and say, hmm, here's a number that somebody might want want to know.

mora da zastane i kaže da je ovo broj koji neko želi da zna.

Here's a number that our citizens want to know.

Ovo je broj koji naši građani žele.

So they go back to their raw data,

Hajde da se vratimo sirovim podacima

they count, they add, they calculate,

koje oni broje, dodaju, proračunavaju

and then they put out reports,

i onda objave izveštaje,

and those reports will have numbers like this.

a u tim izveštajima se nalaze ovakve brojke.

The problem is, how do they know all of our questions?

Problem je u tome, kako oni znaju sva naša pitanja?

We have lots of questions.

Imamo ih mnogo.

In fact, in some ways there's literally an infinite number of questions

U stvari, na neki način postoji neograničen broj pitanja

that we can ask about our city.

koja postavljamo o našem gradu.

The agencies can never keep up.

Agencije nas ne mogu ispratiti.

So the paradigm isn't exactly working, and I think our policymakers realize that,

Tako da paradigma ne radi kako treba i zakonodavci shvataju to

because in 2012, Mayor Bloomberg signed into law what he called

zato što je u 2012. gradonačelnik Blumberg potpisao zakon koji on zove

the most ambitious and comprehensive open data legislation in the country.

najambicioznijim i najobuhvatnijim zakonodavnim aktom o podacima u zemlji.

In a lot of ways, he's right.

On je u pravu na mnogo načina.

In the last two years, the city has released 1,000 datasets

U poslednje dve godine, grad je objavio 1000 skupova datoteka

on our open data portal,

na našem otvorenom portalu za podatke,

and it's pretty awesome.

što je zaista odlično.

So you go and look at data like this,

Tako da možete otići na sajt i pogledati ovakav podatak

and instead of just counting the number of cabs,

i umesto brojanja taksija,

we can start to ask different questions.

možemo postavljati različita pitanja.

So I had a question.

Tako da ja imam pitanje.

When's rush hour in New York City?

Kada je najveća gužva u Njujorku?

It can be pretty bothersome. When is rush hour exactly?

Krajnje napadno pitanje. Kada je tačno najveća gužva?

And I thought to myself, these cabs aren't just numbers,

I kažem sebi onda da ovi taksiji nisu samo brojke,

these are GPS recorders driving around in our city streets

to su GPS odašiljači koji voze našim ulicama

recording each and every ride they take.

snimajući svaku svoju vožnju.

There's data there, and I looked at that data,

Postoje podaci i ja sam pregledao te spise,

and I made a plot of the average speed of taxis in New York City throughout the day.

napravivši proračun prosečne brzine taksista tokom dana u Njujorku.

You can see that from about midnight to around 5:18 in the morning,

Možete videti da od ponoći do oko 5:18 ujutru

speed increases, and at that point, things turn around,

brzina raste i da se nakon toga stvari menjaju

and they get slower and slower and slower until about 8:35 in the morning,

i sve postaje sporije i sporije do oko 8:35 ujutru

when they end up at around 11 and a half miles per hour.

kada voze oko 17 kilometara na čas.

The average taxi is going 11 and a half miles per hour on our city streets,

Prosečan taksi vozi tom brzinom po gradskim ulicama.

and it turns out it stays that way

Ispadne da ostane pri toj brzini

for the entire day.

tokom celog dana.

(Laughter)

(Smeh)

So I said to myself, I guess there's no rush hour in New York City.

Kako sam kazao, izgleda da nema saobraćajnog špica u Njujorku.

There's just a rush day.

Postoji samo dnevni špic.

Makes sense. And this is important for a couple of reasons.

To ima smisla i to je važno iz više razloga.

If you're a transportation planner, this might be pretty interesting to know.

Ukoliko ste organizator transporta, važno je da ovo znate.

But if you want to get somewhere quickly,

Ali ako treba negde brzo da stignete,

you now know to set your alarm for 4:45 in the morning and you're all set.

sada znate da treba da namestite alarm na 4:45 ujutru i na konju ste.

New York, right?

Njujork, zar ne?

But there's a story behind this data.

Ali postoji priča iza toga.

This data wasn't just available, it turns out.

Ispostavlja se da podaci nisu bili prosto dostupni.

It actually came from something called a Freedom of Information Law Request,

To je pošlo od nečega što se zove Zahtev za zakon o slobodi informacija,

or a FOIL Request.

ili FOIL zahtev.

This is a form you can find on the Taxi and Limousine Commission website.

Ovaj formular možete naći na stranici Komisije za taksije i limuzine.

In order to access this data, you need to go get this form,

Kako biste dobili pristup podacima, potrebno vam je ovo.

fill it out, and they will notify you,

Popunite i obavestiće vas.

and a guy named Chris Whong did exactly that.

Tip po imenu Kris Vong je to uradio.

Chris went down, and they told him,

Kris je tamo otišao i rekli su mu:

"Just bring a brand new hard drive down to our office,

"Donesite nov hard disk u kancelariju,

leave it here for five hours, we'll copy the data and you take it back."

ostavite ga na pet sati i prebacićemo vam te podatke."

And that's where this data came from.

Eto odakle ovi podaci.

Now, Chris is the kind of guy who wants to make the data public,

Sad, Kris je osoba koja je htela da ih objavi

and so it ended up online for all to use, and that's where this graph came from.

i tako su oni osvanuli na internetu i eto odakle je ovaj grafikon.

And the fact that it exists is amazing. These GPS recorders -- really cool.

Činjenica da postoji je neverovatna. Ovi GPS prijemnici - stvarno sjajno.

But the fact that we have citizens walking around with hard drives

Ali sama činjenica da građani nose diskove

picking up data from city agencies to make it public --

i grabe podatke od agencija da bi ih objavili -

it was already kind of public, you could get to it,

već su nekako ti podaci javni, možete do njih doći,

but it was "public," it wasn't public.

ali te nisu javni, te jesu.

And we can do better than that as a city.

Ali možemo više učiniti kao grad.

We don't need our citizens walking around with hard drives.

Ne moraju naši građani da šetaju okolo sa hard diskovima.

Now, not every dataset is behind a FOIL Request.

Sad, nije sve obuhvaćeno FOIL inicijativom.

Here is a map I made with the most dangerous intersections in New York City

Evo mape najopasnijih njujorških raskrsnica

based on cyclist accidents.

na osnovu nesreća biciklista.

So the red areas are more dangerous.

Crvene zone su najopasnije.

And what it shows is first the East side of Manhattan,

Mapa pokazuje istočnu stranu Menhetna,

especially in the lower area of Manhattan, has more cyclist accidents.

posebno donje delove u kojima su biciklističke nesreće češće.

That might make sense

To ima smisla

because there are more cyclists coming off the bridges there.

zato što ima više biciklista koji prelaze mostove tamo.

But there's other hotspots worth studying.

Ali vredi proučiti ključne tačke.

There's Williamsburg. There's Roosevelt Avenue in Queens.

To je Vilijamzburg, to je Ruzveltova avenija u Kvinsu.

And this is exactly the kind of data we need for Vision Zero.

To je vrsta podataka potrebna za Nultu viziju.

This is exactly what we're looking for.

To je ono što upravo tražimo.

But there's a story behind this data as well.

Ali postoji priča iza tih podataka.

This data didn't just appear.

Ti se podaci nisu sami pojavili.

How many of you guys know this logo?

Koliko vas poznaje ovaj logo?

Yeah, I see some shakes.

Da, vidim neke podignute ruke.

Have you ever tried to copy and paste data out of a PDF

Da li ste ikada pokušali da iskopirate nešto iz PDF-a

and make sense of it?

i dešifrujete to?

I see more shakes.

Sad vidim više ruku.

More of you tried copying and pasting than knew the logo. I like that.

Više vas je nešto kopiralo nego što prepoznaje logo. To mi se sviđa.

So what happened is, the data that you just saw was actually on a PDF.

Podaci koje ste upravo videli su smešteni u PDF-u.

In fact, hundreds and hundreds and hundreds of pages of PDF

U stvari, stotine, stotine i stotine stranica u PDF-u

put out by our very own NYPD,

koje je naša policija objavila

and in order to access it, you would either have to copy and paste

a kako bi im pristupili, ili morate da kopirate i lepite

for hundreds and hundreds of hours,

stotinama sati

or you could be John Krauss.

ili biste mogli biti Džon Kraus.

John Krauss was like,

Džon Kraus nije hteo

I'm not going to copy and paste this data. I'm going to write a program.

da kopira podatke. On je napisao program.

It's called the NYPD Crash Data Band-Aid,

Zove se NYPD Crash Data Band-Aid

and it goes to the NYPD's website and it would download PDFs.

i odlazi na sajt policije kako bi preuzeo PDF datoteke.

Every day it would search; if it found a PDF, it would download it

Svakog dana bi pretraživao, našao PDF fajl i preuzeo ga.

and then it would run some PDF-scraping program,

Zatim bi pokrenuo neki program koji otvara PDF

and out would come the text,

i ostavlja čisti tekst.

and it would go on the Internet, and then people could make maps like that.

Potom bi podatke objavio na internetu da bi ljudi mogli praviti ovakve mape.

And the fact that the data's here, the fact that we have access to it --

Činjenica da imamo podatke ovde i da im možemo pristupiti -

Every accident, by the way, is a row in this table.

usput, svaka nesreća je kolona u ovoj tabeli.

You can imagine how many PDFs that is.

Možete zamisliti koliko je to fajlova.

The fact that we have access to that is great,

Sjajno je što možemo da im pristupimo,

but let's not release it in PDF form,

ali hajde da ne budu u PDF-formatu,

because then we're having our citizens write PDF scrapers.

zato što onda građani moraju da programiraju čitače.

It's not the best use of our citizens' time,

Nije dobro da građani gube vreme,

and we as a city can do better than that.

a mi kao grad možemo bolje od toga.

Now, the good news is that the de Blasio administration

Sad, dobre su vesti da je administracija De Blazija

actually recently released this data a few months ago,

objavila podatke pre nekoliko meseci,

and so now we can actually have access to it,

tako da im sad možemo pristupiti,

but there's a lot of data still entombed in PDF.

mada je velika količina podataka i dalje zaglavljena u PDF-u.

For example, our crime data is still only available in PDF.

Na primer, podaci o stopi kriminala su i dalje u tom formatu.

And not just our crime data, our own city budget.

Ne samo ti podaci, već i naš budžet.

Our city budget is only readable right now in PDF form.

Podaci o budžetu su dostupni samo u PDF formatu.

And it's not just us that can't analyze it --

Nismo samo mi ti koji ga ne mogu analizirati,

our own legislators who vote for the budget

već i naši zakonodavci koji su glasali za njega,

also only get it in PDF.

mogu ga dobiti samo u PDF-u.

So our legislators cannot analyze the budget that they are voting for.

Tako naši zakonodavci ne mogu analizirati budžet koji treba da donesu.

And I think as a city we can do a little better than that as well.

Smatram da mi kao grad možemo učiniti nešto bolje od toga.

Sad, postoje brojni podaci koji nisu skriveni u PDF-u.

Now, there's a lot of data that's not hidden in PDFs.

This is an example of a map I made,

Primer toga je mapa koju sam izradio.

and this is the dirtiest waterways in New York City.

Ovo je jedan od najprljavijih njujorških kanala.

Now, how do I measure dirty?

Kako da izmerim prljavštinu?

Well, it's kind of a little weird,

Pomalo je čudno,

but I looked at the level of fecal coliform,

ali kada pogledam nivo fekalnog koliforma

which is a measurement of fecal matter in each of our waterways.

koji je mera fekalnog otpada u svakom našem kanalu.

The larger the circle, the dirtier the water,

Što je veći krug, to je prljavija voda.

so the large circles are dirty water, the small circles are cleaner.

Tako da je u velikim krugovima prljava voda, dok su mali čistiji.

What you see is inland waterways.

Ovo što vidite su kanali u unutrašnjosti.

This is all data that was sampled by the city over the last five years.

Grad je ove podatke pet godina prikupljao.

And inland waterways are, in general, dirtier.

Kanali u unutrašnjosti su uglavnom prljaviji.

That makes sense, right?

Ima smisla, zar ne?

And the bigger circles are dirty. And I learned a few things from this.

Veći su prljaviji. Iz toga sam naučio nekoliko stvari.

Number one: Never swim in anything that ends in "creek" or "canal."

Prvo, nikad ne plivajte u onom što se naziva potokom ili kanalom.

But number two: I also found the dirtiest waterway in New York City,

Drugo, pronašao sam najprljaviji njujorški kanal

by this measure, one measure.

ovim merenjem, samo jednim merenjem.

In Coney Island Creek, which is not the Coney Island you swim in, luckily.

Radi se o Koni Ajlend Kriku, što nije srećom Koni Ajlend u kom plivate.

It's on the other side.

Ovaj je na drugoj strani.

But Coney Island Creek, 94 percent of samples taken over the last five years

Ali na prvom je 94% uzoraka uzetih tokom pet godina

have had fecal levels so high

imalo tako visok nivo fekalija

that it would be against state law to swim in the water.

da bi po državnom zakonu bilo ilegalno plivati u toj vodi.

And this is not the kind of fact that you're going to see

Ovakav podatak neće biti

naduvan u gradskom izveštaju, tačno?

boasted in a city report, right?

It's not going to be the front page on nyc.gov.

Neće biti na prvoj stranici nyc.gov.

You're not going to see it there,

Nećete ih tamo videti,

but the fact that we can get to that data is awesome.

ali činjenica da možemo da dođemo do tih podataka je sjajna.

But once again, it wasn't super easy,

Ali da kažem ponovo, to nije prelako

because this data was not on the open data portal.

zato što ovi podaci nisu u javnoj bazi podataka.

If you were to go to the open data portal,

Kada biste otvorili javnu bazu podataka,

you'd see just a snippet of it, a year or a few months.

to je samo mali deo njih, godina ili par meseci.

It was actually on the Department of Environmental Protection's website.

Bili su u stvari na sajtu Odseka za zaštitu okoline.

And each one of these links is an Excel sheet, and each Excel sheet is different.

Svaki od ovih linkova je tabela u Ekselu, a svaka Eksel tabela je drugačija.

Svaki naslov je različit: kopirate ga, prenosite, reorganizujete.

Every heading is different: you copy, paste, reorganize.

When you do you can make maps and that's great, but once again,

Super je kada to radite i pravite mape, ali još jednom,

we can do better than that as a city, we can normalize things.

mi to možemo bolje kao grad, mi možemo normalizovati stvari.

And we're getting there, because there's this website that Socrata makes

Mi dostižemo to zato što postoji sajt koji je Sokrata napravila

i koji se zove Otvoreni portal Njujorka.

called the Open Data Portal NYC.

This is where 1,100 data sets that don't suffer

Ovo je bilo 1100 datoteka koje ne pate

from the things I just told you live,

od stvari koje sam ovde naveo,

and that number is growing, and that's great.

a taj broj raste, što je odlično.

You can download data in any format, be it CSV or PDF or Excel document.

Možete preuzeti podatke u bilo kom formatu poput CSV-a, PDF-a ili Eksela.

Whatever you want, you can download the data that way.

Šta god želeli, možete preuzeti podatke na taj način.

The problem is, once you do,

Problem je što kada to uradite,

you will find that each agency codes their addresses differently.

otkrićete da svaka agencija drukčije kodira svoje adrese.

So one is street name, intersection street,

Tako da je jedno naziv ulice, raskrsnice,

street, borough, address, building, building address.

opštine, adrese zgrade.

So once again, you're spending time, even when we have this portal,

Još jednom trošite vreme čak i kada imate ovaj portal,

you're spending time normalizing our address fields.

trošite vreme sređujući adrese.

And that's not the best use of our citizens' time.

A to nije najprikladnije trošenje vremena građana.

We can do better than that as a city.

Možemo to bolje uraditi kao grad.

We can standardize our addresses,

Možemo standardizovati adrese.

and if we do, we can get more maps like this.

Ako to uradimo, dobićemo ovakve mape.

This is a map of fire hydrants in New York City,

Ovo je mapa njujorških nadzemnih hidranata,

but not just any fire hydrants.

ali ne bilo kakvih nadzemnih hidranata.

These are the top 250 grossing fire hydrants in terms of parking tickets.

Ovo su 250 najboljih hidranata što se tiče plaćanja kazni za parking.

(Laughter)

(Smeh)

So I learned a few things from this map, and I really like this map.

Naučio sam nekoliko stvari sa ove mape i zaista je volim.

Number one, just don't park on the Upper East Side.

Pod jedan: ne parkirajte se na Aper Istu.

Just don't. It doesn't matter where you park, you will get a hydrant ticket.

Jednostavno nemojte. Gde god se vi parkirali, dobićete kartu za hidrante.

Number two, I found the two highest grossing hydrants in all of New York City,

Pod dva: pronašao sam dva najprofitnija njujorška hidranta,

and they're on the Lower East Side,

a oni su na nižem Ist Sajdu.

and they were bringing in over 55,000 dollars a year in parking tickets.

Donose više od 55 000 dolara godišnje naplatom parkinga.

And that seemed a little strange to me when I noticed it,

Delovalo mi je čudno kada sam to primetio,

so I did a little digging and it turns out what you had is a hydrant

tako da sam malo kopao i ispalo je da postoji hidrant

and then something called a curb extension,

i proširenje za parkiranje

which is like a seven-foot space to walk on,

što je oko 2 metra prostora za hodanje,

and then a parking spot.

i mesto za parkiranje.

And so these cars came along, and the hydrant --

Tako su se pojavili ovi automobili, a hidrant -

"It's all the way over there, I'm fine,"

"Ima mesta ovde koliko hoćete, meni je ok",

and there was actually a parking spot painted there beautifully for them.

dok u stvari za automobile postoji obeleženo mesto za parkiranje.

They would park there, and the NYPD disagreed with this designation

Tamo bi parkirali, dok se policija sa tim ne bi složila

and would ticket them.

i naplatila im kaznu.

And it wasn't just me who found a parking ticket.

Nisam samo ja bio taj koji je pronašao kaznu za parking.

This is the Google Street View car driving by

Ovde je Guglov automobil koji prolazi

finding the same parking ticket.

i nalazi istu kaznu za parking.

So I wrote about this on my blog, on I Quant NY, and the DOT responded,

O ovome sam pisao na svom blogu, I Quant NY, i Odeljenje za saobraćaj

and they said,

je odgovorilo i rekli su:

"While the DOT has not received any complaints about this location,

"Iako Odeljenje za saobraćaj nije dobilo nikakve zvanične žalbe za ovu lokaciju,

we will review the roadway markings and make any appropriate alterations."

razmotrićemo oznake na putu i napraviti neophodne izmene."

And I thought to myself, typical government response,

Pomislio sam da je to tipičan odgovor vlasti,

all right, moved on with my life.

i nastavio sam sa svojim životom.

But then, a few weeks later, something incredible happened.

Ali nekoliko nedelja kasnije, desilo se nešto neverovatno.

They repainted the spot,

Prefarbali su to mesto

i na sekund sam pomislio da sam video budućnost otvorenih podataka,

and for a second I thought I saw the future of open data,

because think about what happened here.

jer razmislite o tome šta se ovde desilo.

For five years, this spot was being ticketed, and it was confusing,

Godinama su se na ovom mestu naplaćivale kazne i bilo je zbunjujuće,

and then a citizen found something, they told the city, and within a few weeks

a onda je građanin otkrio nešto, to rekao gradu i za nekoliko nedelja

the problem was fixed.

problem je bio rešen.

It's amazing. And a lot of people see open data as being a watchdog.

To je neverovatno. Dosta ljudi vidi otvorene podatke kao vrstu čuvara.

It's not, it's about being a partner.

Ne radi se o tome, već o partnerstvu.

We can empower our citizens to be better partners for government,

Možemo osnažiti svoje građane da budu bolji partneri vladi

and it's not that hard.

i to nije tako teško.

All we need are a few changes.

Samo je potrebno nekoliko promena.

If you're FOILing data,

Ukoliko zahtevate podatke,

if you're seeing your data being FOILed over and over again,

ukoliko vidite da ljudi stalno od vas zahtevaju podatke,

let's release it to the public, that's a sign that it should be made public.

to je znak da treba da budu javni.

And if you're a government agency releasing a PDF,

A ako ste javna agencija koja postavlja PDF dokument,

let's pass legislation that requires you to post it with the underlying data,

donesimo zakon koji zahteva od vas da ga postavite sa pratećim podacima

because that data is coming from somewhere.

zato što ti podaci dolaze odnekud.

I don't know where, but it's coming from somewhere,

Ne znam odakle, ali odnekud

and you can release it with the PDF.

i možete ih postaviti sa PDF-om.

And let's adopt and share some open data standards.

I hajde da usvojimo i delimo neke standarde o otvorenim podacima.

Let's start with our addresses here in New York City.

Počnimo sa adresama ovde u Njujorku.

Let's just start normalizing our addresses.

Počnimo samo da normalizujemo naše adrese.

Because New York is a leader in open data.

Njujork vodi što se tiče otvorenih podataka.

Despite all this, we are absolutely a leader in open data,

Uprkos svemu, mi smo na vrhu što se tiče otvorenih podataka

and if we start normalizing things, and set an open data standard,

i ako počnemo da normalizujemo stvari i odredimo standard za otvorene podatke,

others will follow. The state will follow, and maybe the federal government,

drugi će nas pratiti - država, a možda i savezna vlada.

Other countries could follow,

Mogle bi da nas prate i druge države

and we're not that far off from a time where you could write one program

i nismo tako daleko od vremena gde biste mogli da napišete program

and map information from 100 countries.

i mapirate informacije iz 100 država.

It's not science fiction. We're actually quite close.

To nije naučna fantastika. Zapravo smo veoma blizu.

And by the way, who are we empowering with this?

Usput, koga osnažujemo ovim?

Because it's not just John Krauss and it's not just Chris Whong.

Nisu to samo Džon Kraus i Kris Vong.

There are hundreds of meetups going on in New York City right now,

Postoji stotine sastanaka koji se sada dešavaju u Njujorku,

active meetups.

aktivnih sastanaka.

There are thousands of people attending these meetups.

Postoji hiljade ljudi koji posećuju ove sastanke.

These people are going after work and on weekends,

Ti ljudi dolaze nakon posla i tokom vikenda

and they're attending these meetups to look at open data

i posećuju ove sastanke da bi videli velike podatke

and make our city a better place.

i načinili naš grad boljim mestom.

Groups like BetaNYC, who just last week released something called citygram.nyc

Grupe poput BetaNYC, koja je prošle nedelje objavila citygram.nyc

koji vam omogućava da se pretplatite na servis za žalbe

that allows you to subscribe to 311 complaints

around your own home, or around your office.

oko vašeg doma ili kancelarije.

You put in your address, you get local complaints.

Ukucate svoju adresu, dobijete lokalne žalbe.

And it's not just the tech community that are after these things.

Nije samo zajednica informatičara koja je uključena ovde.

It's urban planners like the students I teach at Pratt.

Tu su i arhitekte, poput studenata kojima predajem na Pretu.

It's policy advocates, it's everyone,

To su pravni zastupnici, to su svi,

it's citizens from a diverse set of backgrounds.

građani iz raznih pozadina.

And with some small, incremental changes,

I uz male, postepene promene,

we can unlock the passion and the ability of our citizens

možemo osloboditi strast i mogućnosti naših građana

to harness open data and make our city even better,

da iskoriste otvorene podatke i načine naš grad još boljim,

whether it's one dataset, or one parking spot at a time.

bez obzira da li je to jedan po jedan komplet podataka ili po parking mesto.

Thank you.

Hvala vam.

(Applause)

(Aplauz)