 Saya adalah CEO Pita Scan. Jadi, bersama dengan kawan saya, yang mana-mana, bahagian tentang kisah kita hari ini, kita akan berasal dari kisah kita. Jadi, kita baru masuk ke kawasan kawasan, dan pun, 2017. Jadi, cepat lagi ke 2019, hari ini kita lihat bagaimana kawasan ini berubah dan berubah selama-lamanya, tapi pertama mencari kawasan, selama-lamanya, dan yang saya beritahu, dengan kawasan kawasan kawasan ini berubah, dan juga, kita perlukan kawasan kawasan kawasan kawasan ini untuk membuat kawasan kawasan ini berubah. Jadi, dua kawasan kawasan ini, kita akan mempunyai listan dari kawasan kawasan kawasan ini, yang kita berkongsi. Jadi, sebagai kawasan kawasan ini, untuk membuat lebih baik, mungkin, juga penting untuk memahami kawasan ini. Jadi, dengan kawasan kawasan ini, kita lihat kawasan kawasan kawasan ini di dalam sistem kawasan ini, dan kita belajar dan mencari apa yang kawasan kawasan ini terhadap kawasan ini hari ini di dalam sistem kawasan ini. Baiklah. Jadi, untuk menjadikan perkara-perkara, untuk mengajar kawasan ini. Terima kasih, Majik. Saya B dan saya kawasan kawasan ini. Di dalam seksa, saya akan memperkenalkan beberapa kawasan kawasan ini dari kawasan kawasan ini. Sebelum kita memulai kawasan ini, kawasan ini pasti akan berjalan di dalam kawasan ini dan akan mendekat pada tahun ini untuk menghubungi kawasan ini. Kita memperkenalkan beberapa kawasan kawasan ini dari keadaan, keadaan, dan keadaan yang baru-baru dikawasan ini. Setiap kawasan ini adalah penting untuk membantu kawasan ini untuk membantu kawasan ini. Ini adalah markah dan kawasan ini. Untuk keadaan total transaksi, kita dapat melihat kawasan total yang berada di 552 juta transaksi sehingga kita memperkenalkan kawasan ini. Kawasan ini memperkenalkan dari tahun 2016-2018 untuk memperkenalkan kawasan kawasan ini dari kawasan ini. Jika tidak, kawasan ini tidak dikawasan. Dengan kawasan ini dan keadaan total transaksi pada tahun 2017, menurut kawasan ini adalah kawasan kawasan ini. Kawasan ini mempunyai lebih banyak transaksi dan kawasan ini. Segera, pada tahun 2018, kawasan ini mempunyai kawasan ini yang ditubuh dan penjara ini bermula bahagian kemasです. Tangkari dari tahun 2019, kawasan ini memperkenalkan total transaksi sehingga pada tahun 2017-2017. Segera, kawasan ini memperkenalkan kawasan ini untuk memperkenalkan kawasan ini untuk keadaan photos dan kawasan ini. Kami akan melihat kawasan berada di latihan peribadi. Kami ada sebaik-baik latihan peribadi menyuruh came down the Zero Value Speed Addresses. The summaries are over 96% of addresses holding less than one meter. 3.5% of addresses holding between 1-1000 meter. At once, it is interesting that less than 0.03% of addresses with greater values of more that 1000국Lir. Hosed almost with 1% of total Accent Line. Ethereum is known for the Smart Contract Development which allows the developer to write their own contracts and deploy them to the blockchain so that they can run or hold without any central server. In total, there are 18 main contracts created and the point is the main end. Most of these are written in solidity in the JavaScript language, and only up to 0.004% contract sources are available. We have studied some of these, but we will try to use some information in future. In addition, the two most popular contract types, Shagya 620 and Lassison 1, take up around 1.2% of total contracts, Minus play an essential role to secure a different network and in the process, we seek mine force. The top 5 minus are shown on the high chart and the quality of the project is not beside the mine box. Ideally, every box should contain transactions, but sometimes there are still empty blocks, which means there are no transactions. For the current year, this number is around 2.663. It's the total 5 blocks per hour. At the end of the year, Shagya 620 and Lassison 1 has adjusted its guest page program. The few total increase points are the launch of ICS, ICO 2.070, and later the launch of Kyloid. Very popular queue could be instant in late December. Just recently, at the last month, we still haven't increased partially attributed to the BRC 20.000 transactions. By comparing the average guest system in each block, the network utilization is reaching the whole time high of 96.5% of its network capacity. Anyone can just download and if you know today, the neural client might be there or not on their computer, how big the storage is, by comparing the blockchain size growth in 2019 for both CAD and hybrid nodes, we can see that CAD is going to hybrid and it's estimated to be a bottom-up. Having said that, in the release of version 1.9 this July, the improvements have just been reduced to the blockchain size for yet, 9.4XNX. This can be noted from the spike and drop in China. Now it will be on nodes, nodes play as important as the data given points for applications to retrieve information from blockchain. I'm looking at the total nodes in the U.S. as a far commanding of the loop of 5XN. China 12.2%, followed by Germany, Singapore, and France. These 5 countries accounts for 6.9XNX and it's reflective of the ability that they are working on. It's important to track the average nodes count as small nodes with more data to serve all the applications On average, the nodes count is just under 7,000 and it looks like the most popular 5XN. To sum up, Transactions has been growing since 2016 and it has convinced to improve each of the network. The network utilization is at all times 5XN which is lost for most years. With the ability for the minus it has allowed to handle better things and also withstand more and more. Able to run a blockchain node with less distortion parameters it's better for anyone that wish to run one. And we see improvements to the client that is greatly useful and lastly, the importance of nodes as data gateway entry points and the increase of number of clients that comes on in the next few months. And these are the brief overview of the blockchain statistics and I will now pass on my back to Matriman. Alright. Okay, so like figuring out a product to market strategy is always difficult. If it requires multiple read iterations, attempts, and sometimes just a little bit of luck. So, one way to approach this of course is to look at what are the existing end-user tableware and to figure out if we can build solutions around the area. So at EtherScan, we will see thousands of ticket issues on a multi-basis and we serve a diverse range of users. So what we've done here right now is we've gone back and look for the user feedback about the list of common end-user pay points which we have observed over time. Alright, as a filter to keep in mind, some of these issues might really appear trivial, easy, simplistic but these are actual real-world issues that common end-user faces when interacting with material. So in no order of importance the first issue is the request for refunds so I know there is this perception as we like traditional transactions the users just want to have the ability to cancel their transactions or have their transactions refunded when an error is made and a lot of times the recent disturbances are like when users have problems identifying the project address sent to them and of course it doesn't really help but token naming schemes can be pretty confusing at times we had like TUSD also as UFET HOT HOT HoloToken was as HOT also very similar naming scheme and the other issue that we always get has to do with the transaction info or the address balance not immediately updated so at the same time perhaps between the UI after confirmation time there is computer and this company occurs and exchanges and remodel so the user just gets answers expects the balance to be updated immediately and when it's moved north they delegate pedagi or gas or some other error codes so it's basically these users asking about why their transaction has failed and what are the next steps they need to take to business and lastly how do you promote tokens to cash and deposit them to bank accounts so essentially user just wanting cash out and not knowing how to do so safely as a builder what can we do so we have a couple of thoughts here so I think it would definitely help provide additional information on what to do next when an error occurs or better still like why did the error occur in the first place and what are the steps they can take in order to prevent this form happening and a lot of proficient will send in to the wrong addresses put the order by using human readable address like ENS and when it comes to security always assume that everything can be hacked or exploited it's not a matter of if but when and when that happens what are the next steps to take to mitigate the situation and as simple as it sounds like the cash offering huge market users just want to be able to cash out 15% and here's an idea for a dev refundable cloud sections can this be done so I know this kind that thing goes against the immemorial nature of the blockchain but it's definitely ongoing and you don't need one so alright for the final section of this presentation I would like to talk about the Ethereum user persona so one of the things that we found extremely useful as builders when building an application is to first understand who your target audience is so what I would like to do is using share with y'all handle this data derive over the last few years and kind of work towards building a model of what the typical internal user will try to do okay so but looking at our side statistics what are the first few interesting things that we found over the last few years in user geolocation so it was back in 2016 the US made up 45% of the user demographics in 2017 we noted increase of users coming from China and this trend continues into 2018 when the number of users in China was imperative so fast forward to 2019 this is what the top 5 user geolocation was with China forming the largest majority of users colour for the US Germany Ukraine and South Korea so understanding where your users are located can be extremely helpful when optimizing the location of your servers figuring out which languages to support or deciding where to allocate resources so this is on a slightly related so so one of the criteria for designing a deaf location was that courage adopted is best regions of computing so what we did here is we actually mapped out the previous deaf locations and compare them with the following year user geolocation demographics so from our casual observation not really scientific we found that in the past 4 years that there was indeed an increase in the percentage of users from locations where the deaf point of view was quite obvious so i think it's definitely going to be super existing to see this casual observation slash theory hold through the next year after deaf confide and whether or not we at least see an increase of production of users in the plan alright so moving on the languages use we look at the user browser and language settings and from this we are clarifying that most of the users have the exact things in English followed by Chinese and Russians so i mean if your planning to build or support a multi-link having it both in Chinese and Russian in addition to English means there will be much cover about 70% of the user demographics or data of spending per system over the last few years from what you might expect in the crypto scene with close to half of the users in age bracket of 25 however what the age bracket remain relatively similar over the last few years and there is still an increase in the proportion of female users so back in 2017 only 8% of the users were female past world 2019 we see this number double up close to 16% of the user demographics so affinity and market user demographics are essentially sanitation per user interest and marketing categories so looking at the affinity, market and analytics we see this coming from user categories of value shoppers and technologies and those interested in financial and investment services so compared with the previous years we didn't notice there was a slight shift in the affinity category but there is now more value shoppers technologies compared to previous years so for general user interface we look at two data points which is the user browser and screen resolutions and from here we see that the majority of users use the throne browser followed by android overview and Safari as for screen resolutions the 1920 and 1080s were using a desktop interface and on mobile devices the 360 64 of this so the biggest shift we see here again is the increase in handglock value only 6% in 2017 but a lot of people finished 40% in 2019 ok so for the device category we see more and more users interacting through mobile phones whether the majority still uses a desktop interface we expect the number of users using mobile devices to make up for the users over the next 12 months so as for user operating system so the majority users use windows followed by android, irs, mentetosh notable change here is that on a proportion of irs, mentetosh we may notice this in the last few years it has kind of appeared that more and more windows users are interacting using android phones today alright so for it coming to the mobile device breakdown as a single device type the Apple iPhone 2.1 market share followed by Samsung and Huawei as what is kind of interesting here though is that Huawei 7 local won't really in top 5 2 years ago, but they are today and as for the mobile operating systems pretty much follows the device breakdown with android capturing the largest market share followed by irs ok so we are looking at all the previous energy data I derived 2019 Ethereum user persona most likely still from ages 25 to 24 located in China, US Germany, Ukraine, South Korea it detect oriented and shopper interest in financial services use windows based PC and prove as a private browser and all likelihood users an Apple iPhone, Samsung, Huawei and mobile devices alright so summing up so how is the user persona involved for the last 2 years in fact today so firstly we definitely see an increase surprising because in 2017 was nothing desktop model interfaces but first of all in 2019 we have extremely rich ecosystem of mobile models as for shifting geolocation demographics has been visited back in 2017, China was great market today number of users coming from China is proportionally larger than any also happy to see increased gender diversity participation we double the proportion of female users in 2019% for the user interest groups they remain relatively static but we didn't know the increase to the value shoppers and technologies so alright so all along but there's still a long way to go for mass adoption it's just kind of fair for making baby steps towards home institute alright that wraps up our presentation thank you for watching