 ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa ľa  మోార్స్స్వైలీతోతోమైలీతోంనంసినినంచ్చ్కైటినీచ్చి, మోలెయనినిస్కూచ్చ్టిటినపంనిక్టనిక్టర్చ్ మోలెమీనికలీపిచివీసిచ్టిని�  archetypil phuc singke wan హినాధవసి. wichtig for reports, is the questions must peaceful to fasting out the reports and the best easy way, it can give to you about... When we say మ packaged interesting OK, please. how do we do this very fast. or want and we need so because they want take up 4 the toils to decide was huh this screen 59 wraps yeah though now  NGOs しく                                                                                  కిాని కిసికాకాలాపండ నాసి ఫాసి నిసికెడండి శి సారండిటి సిసికిసయాసకి పనికమకర఺ాకితక నికికికి గరంని పరిసిటికట౿ . పనికనికకకక� life analysis is because some of the things that we personally do might still go up to some of these analysis. So when we are doing one analysis, it can come back and help you doing your own personal analysis. So this one is from the World Bank, we got it from World Bank. So there are red lines, you want to get it to the data.worldbank.org, you get all data that you need concerning the world itself. So we got it and send it to you as CLV5. So the first thing we should do is that let's open the CLV5. Data in the world bank.org. So now let's open the CLV5 and tell what's going on. Yes, so can you open the API slash use something like that. Good morning, can you just come in, come in, come in. Very exciting, so please can you come in. Yes, so now it's ready. Okay, so now you will have this. Now if you notice, let's look at the data. First of all if you notice that it has all qualities, and one of the rules in binary is that all data for free in the world, in the world. So now, so now I can't get all these people, the things that will be cleared off. So all this is first in the world. So that's one thing I will clean off. Now if you look at this data, what can we talk about this data? Can you look at a data in... Yes, air transport. So this is probably the airline for countries. Okay, so now this one is not the airline itself. This talks about the passengers. The number of passengers that has carried in each country. The countries. So you get it. Your name too, sir? Okay, blue light. So these are just numbers. So we are not dealing with cash. So if we notice now in power pray, we will not be using the decimal adults number that has to be in cash. So we are going to have just one number. Yeah, because we have one number. So now all this analysis is just what we want to discuss. Because now we are going to talk about the aerosolina. We need to clean it, clean it, clean it, clean it. And if you notice again, that there is not the data that we have. Yeah, it's really here. And you notice that that is what we have. We will not be able to run it. Really? Really, okay. So here I need to... Maka. Maka, thank you. Good morning, thank you just for me. Good morning. So this file is talking about passengers that used whatever kind of airlines in the country traveled in and out of another country. Just so simple. I think I should look at that one. Traveled a lot. But the issue is this. We travel out, but we don't travel in. But the problem also is for how long do we have two records? We give records in Nigeria. For Nigeria? For more. This is one of the records. But before it came in, we went to the site. Okay. Soon we get there. You said that there are times where the representation of the country is not good. Because all flights manifest in Nigeria. We should be able to run it in Nigeria forever. It's 1970. This is 1960. Yeah, 1970. Yes. Yes. But we don't get to come up with a new scene. We see if there are some countries that have representation from 1960 to 1969. But we want to look at it. If we are saying that in Nigeria, you might see below, I think in below. You know why? Traveling is very difficult when it comes to traveling. Air transportation. Okay. Air transportation. And we know that the country will be good. We know that the country will be good. So that's another thing that we see up there. And I didn't mention it. If you have more inter-air transportation, there are other things out there. I don't see that. I don't see that. I don't see that. I don't see that. I don't see that. In hoped to get what I want. So why are we trying to do a review of how this being done? Because we know how much mistakes you see. schme గిన incorrect ఇఘకమాత్నం. మаничలిిలేలా, న�fryజిట్తావినొణిం. మ౲త్కి శరకలి మ౲ినిం. మిట్త్�毛 నిన 마스큆బాత్. మ౶ిమ్స్, ప్ంం, డరం. మిట్దిం. ... Metaldata across J API Metaldata API Metaldata API ఖౚంలె పిక Löికిక౅కే tenían లార్స్తం మారోడ్తరం channel వనిన్చాయినోరలె six బర్వ🤣వkeys్పauraisAssనిłbym�. రోనికాస్త్త్న్త్న్నె. తారర్ చాస్సినితిలో సిమ్స� ముయుిగేఎచూయాల్టునోల్ాఙ్చెిట౑ఽదcence�dling. పుఱికడివ 되�ారార島టొనైమసి. ర్ట్఑కడటొ. మానోకచా. పంటికటటరననుṇ�నprochen�ియలెడి.琳 drilling crocodile crocodile crocodile crocodile crocodile crocodile �Airw geek oston වක ඏව ඡිLIE වක්඾වාය පලනිවකලේ? ව මල්වavyමකබට්මකලේ වක් යතණික්ලේ ප්තෛබට් ෉ලීරීයදි house වක් පුනික්ලඟියතිට්තියනශු సాస్టున౔ంసిలాపి నినాటి శిలీనిökనnament స౏ వళత్ద్ యాక్స్ంసు It affects the data itself Yes, it affects data It affects the data కవలల్మాక్ద్ లౠికువ пользов టాడ్లస్స్బ ఫపరఝతరపాలసటష వా మిర్ ఙిస్విలిచినణలూడి ధూన్విరి João mammal而已. నంథరినిలె న Rights అఫిసిక౿మparable�ంనింని. emit  lire  egen  Häath క WOODRUFF కిcert కిcert కిcert కిcert కి District containing కిcert కిcert కిcert కిcert the calculation నాన౅లా నృభుశొదిసెరాక్రాదాని కూి solving damp ఎఒంికు。 సరికి. 他 మ౒నైంద సస్స్సే ఩ెయరీవికోచా మొయాణను్లో శిసిల్ళాయా Chrome distribution .phem작ఠ rall that the ... ... ... ... ... గా నా గయరిస్లాయివరా మివాకిసితూం ఆనివామాపోకికూపిమిట్మీలా పోస్ట్లాపోకికునింపోూపోకికూడా పికోూవాప్సిసినిట్లిని。 మిరె పో�  1950 కిరసPeopleran కో్గ్చనారొ్. కోండినోమార్చని. మివిలావధార it嗎 ఉందితుకౄఔటార Strata Code, matière M Emergency, Copy bubble, పౘంవగినే and debilervice�దినే. న్డపికటకోవఉకనిి. మాస మాస మాస ? మాసీర్ండిక్ం మాపటిమాసార్ంచలుసిన్చంండిండిట్టేచ్ట్డింర్చ్చలు first మాసీరినికార్ట్పతైండికినేట్. 。 。 。 。  meillä gran protests              ,     , , ట్ల్, ప౒సిఒవే, ణ్రోంనండ్కాస్ Nick. ఠ్ఽాస్యసిన్భిండ్నkommenఽాంundo sought pyramid well into now is expenditure, lallt joining Korea, y Respecting our y y Park park park ��лан ව siè Did you call this text? 16 Pascal 32 Many진  unpredictably  nuc CRA7 Well, let's go Ö Invrrall islw  excuses  Careful   əllw నిల్కమకికతిదికార్యకి థరికైకిగాసిలాసి. నిమికాసిలి మనియికికిాసిసిౕఅసి. నిసిలివాకికరిలి హఐవరనిక౿కిసి. ᴱ ᴇ ᴆальᴀᴬᴀ ᴀᴀᴅ�ré ᴇ ᴀᴀᴀᴀᴅ ᴜᴀᴅ ᴜᴀᴀᴀᴅᴅ�京 lgrown ᴇ ᴅᴀᴅ ᴇ ᴀᴅᴀᴅᴅ ᴀᴅᴅᴅ � slath ᴁ ᴇ ᴀᴀᴀ Hira ṃ ᴏwā yart ᴰᴀᴀᴅ ᴄ ᴜᴀ ᴏᴀᴅ ᴀᴀᴇ Hira 23 ᴏ yarse ᴀᴀᴀ coming here మ఼ామ్పో మాడై ఆంచిక్స్ఓలి ఖాఱిలూచురసИ next మా� document difficulties మాడిలూ మా లిమాసొధ20 Matt ffen మిస్väోలిల్నతాస్త్న్స മాünf�ట్మ� sanction స్భ్డ్సల్టేధ్ట్ స్చ్ల్సల్సలార్, reduces మerecht�్యంటిన్కిత్ప్చి, is easier ట్సీచ్లతిన్కిన్రికి 검�క్న్రిలోల్రఽ� So now we can do it for first of all, we have to click the ones that are already clicked. So we are clicking country name, country code, indicator name, indicator code. Make all of them, analyze the four first, they are your pygos. Analyze the four, go to transforms, you see on pygos are the columns. On pygos are the columns, on pygos are the columns, on pygos are the selected columns. So click on pygos are the columns. What we can do now is, we can change the attribute in three years. The attribute in three years. The values, we can change the values. The value is number of passengers. Yes, change the decimal, change the number. Change the number, you can leave it as decimal. But what we may be thinking for us, when we may like to fix decimal number, it changes it to the naira and dollar sign. So it has touched the dollar, you want to correct it. It has touched the currency that has touched it, fix decimal. But if you don't know decimal and don't know number, you don't know number. Why? We can leave it in decimal, because even if it has an average, it will still go in decimal. How do we want to do it? Exactly, we want to do it ourselves. Let's do it, let's do it. Let's do it ourselves. Let's do it. So now, we want to do something. We want to do something, let's want to do that distribution. Let's check something, let's check the number of unique quantities that we have. We call them distribution. It says 29, these things, agreed? So now let's go to those quantities that we have. Conjugator was nothing before. So the first thing we should do is just use special as errors. That is it, right? That is what we want. Let's use special as errors. We have to assist the team. So we know that there is something that we have to do here. So now let's begin to teach that function of distribution. Now let's look at the quantity we don't need. Let's look at seats. The last column, the indicator is the one. The indicator is the one. In the case of the other factor, right? Okay, oh, I am in Conjugator. Conjugator, let me in Conjugator. The special. The special knows, we don't need it. So now you do that column. We don't need special knows. So let's get to this point. So if you remove that special knows, you notice that there are some rows that are empty. So that we have no, no, no, no, no, no. So I know we cannot use no to walk. Here I would be, there is no other region, there is no other income group, but it has a country. So you can bring in an issue. Because then you have to look at regions. You don't need the data. But if it has, no more passing data. You don't need it. But it's going to become a problem. It's going to become a problem. So now, the first thing we should do is this. Let's go to region. Can you see the plan? So let's go to the plan. We don't have enormous regions that are supposed to have. No more regions that are supposed to have. So we don't have the internet. Yes. You don't have internet. Okay. There's one in French. Yes. He is first showed us. I'm going to call on the internet. Yes, the years. The years. 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20. That's the years. ahlen  festawaz beton nil 거� pierre ʋ explanation  dispers have creative ʁ wa"? ʔ  Patreon pa Holding ʔ ʲ ʒ ʋ ʰ ʁ ʟ because we are trying as much as possible so that our country doesn't have data for the country that doesn't need to have data for. We move land in country data, but that same country that has lands cannot data in background. So now we need to make sure that the countries that are here should be the data that we have in background. Or else, if we look in like that, there will be no manager. Create a relationship. Create a relationship. But there is nothing. There is no value. There is no unique. We are saying for countries that we have removed from country data. Yes. We need to also remove from... So we are respecting our analysis. There has countries and there has the detector. The detector is no more complete. There is so much data from this now. No, it's still complete. Because there are some vehicles that are not available for some countries. We decided to filter them out. So whatever we are going to do, if I expect the country to filter that out. We will have some information that will problem the data that is complete. Okay, so now let's look at this. And where is this paper? How is this paper? Because now we understand enough data analysis to make sense of the number. Yes. Okay, it makes sense. There are probably some data that are not complete. And because they are not complete, it doesn't make them without data. She was looking for a way to bring data from incomplete status to complete status. To not give us info or anything. Okay. I think I want to say that. That's another way. Correct. So what we are going to do is to update the regions for those countries that are not complete. So now... If you know what we are going to do. What we are going to do is to say that from incomplete status to incomplete status. So that's another way. That's another way. That's another way. If you know the data that should be there, you can create it. If you know it's there, you don't have to get it out. Because I know that in our analysis, I don't want to... Because it's time. Our vlog will end in just a few seconds. Because if you can't complete the artist we can, that's going to do nobody and it makes you want something. Or you throw away something. So we are expected to understand. Yes. If you finish it doesn't mean... Yes, don't worry. We are going to finish. Because visualization is allowed in the whole section of the zone. So in the whole section of the zone. But in model, if we take it there... Okay, let's not say it. Let's not say it. We are debating. So I don't want to change. Okay. So the question is, let's conclude your questions. Okay. But we shouldn't discuss to organize another means of models like there. Get to the goal. And make a sense of that information. So now, what we just want to do is this. All those countries that has code. Because we notice in our country, I want everybody to as well as follow, in our country we notice the issue that we have there is that country code has continued. It's correct. Because the issue is that we don't have region. And we know that normally every country supposed to belong to a region. That's the thing that we are trying to claim. So we are trying as well as possible to go to France and say for every country that is there that doesn't have a region kind of was live. So that we are doing region analysis. Contributing to the country analysis. That country that has data, but doesn't have video, will not see good show. Because we feel that it has. Because we feel that it has. In real life, when you can't create another sheet that has code, you don't want to know all the regions. And you think that it's an issue. And that is where C-25 do now have country data. That country has country data. But it's not complete. Because what are giving us is why we are taking off those things. So the one country was this to work with. So is this country data that we are using to work with? So what do you guys think? Now is the issue change right? Is the book for the class now right? Is there a strategy for now? Do you want that? So for real life, if someone has data, because it's for those people, it can't be for example. You should get it. I don't have it. I'm happy to this. I'm happy to do my work. So now for all of our analysis, we know that probably all data are listed. You find it. You find it. In every system, you will be able to get it as it is. You don't expect to get it right from the world code. So that data is coming in companies means that the problem has been set up. So what that gives you is gives you a opportunity to capture it. You fix that problem. And ensure going forward you don't have such a position. It doesn't mean as you move from one state to another, then you will come up with one problem of your life. You and I guys as a problem, this is called let's fix it so that it doesn't break. So I know what situation we are in. Because it's not going to be correct, then we just can't give up. You know that problem will continue until someone is able to take it off and then fix it. So now, the data that we have and all reports that we have what we want to do is this we just want to make queries so that the query is this we are making these two queries together and we are looking at the country code or the country as the link. So we are saying that for every application on the interviewer is right. But wherever this one is not there please kind of remove it. But just make queries. So but if you are a pending query a pending query means that this is row one to ten a pending is that can be add from row 11 to 15 that is a pending query. But make means column add in. Why append means row add in? Make queries. So when we go to home we see make queries go to home guys in make queries and append queries. So make query means that I want to match this and this together these two files together but this way which is column one. Yes, extended this way. But it also append it means I am doing this way. Okay. So if I have a new year it's I can append to I can append to what I have. Now if we have a new design what about if you can append that is nothing. Okay. So let's make queries on the fact file right. Yes in fact file. As new means that can be this to file bring it in as a new query. So Yes Yes Yes Yes So now let's go to this one. This line is a line in it. So just bring in the country data. So what are we trying to link both of them together? We can use country code country code country code Maybe use country code do you notice that the selection matches 6000 998 of 9000 rules from the first table. Fact file to country data with the country code. So you just take on country code. This one like it as we have you just that. Country code country code Yes Do you notice that there is a mark down that says the selection So now that selection means that everything that is here all country that is here is to be out all country that is here but these are different so that what we just did. So what if I am having a different mind and you know it's fine it's fine the selection matched you the selection matched did you remove the the rituals did you get the ritual? not at all did you get the ritual? yes Yes So now if you notice what is asked now inside people of them are the same and that is what we also do it means that you do not get it up so what you all want to do is that you do not have ritual is to get out beats so it's complete normally but if you do not have ritual you don't need more problems during analysis so we just take them out so we need to take them out Yes You don't need to do some other check just on check oh okay so this and is an opportunity to take them out and hand it over to someone to find out what the problem is please sit down then you just teach them how to add rituals that is where those data that is where those data that is where those data is so that is where we need to clean because I end up in a way you are trying to do your outings you are trying to link a table to a table in your model it will link up because that blank it has multiple so we say many to many instead of many to one yeah so check one is right because all those countries are different so they don't need to link so those for the people I pass also to I avoid so let's see okay so we will enjoy no there is nothing just okay so it comes in as a table so you look at this beside the country data you see two arrows so open it so now what we want to do with this is just that that country code that we use to link all of them together okay okay different okay so now if you are doing this thing this thing comes and it comes so this thing comes means that instead of separate if you are doing so you have there is what I want to do so let's say I try to look at list of so department so HR finance operations operations so now let's do blank which one is distinct which one is unique the one that has data is who won't be distinct the one that has unique who one of them will be there so now this one all of them are unique but also this thing this thing means that I can so this thing should be like so we have to be distinct without so now if you don't see it now but we are able to clean the data but there is another one issue with this work path we have to put people to loss let's check you have no shoes just you have some it's supposed to be so now so why did you bring in the rules because that was the one we have let me see so in the new path where it's organized yes there are some blank empty there are some blank yes we have to explain that because those are the regions that we have taken up already which I wouldn't have expected to know because the fact that there are those any foundation the countries are still unqualified so now the first thing that you do where you do this is not the one you move the rules take out the ball there yeah just take out the ball so we don't have to explain so now so now we have to continue there is one country data country code now both of them are the same they are not the same so we just we want to remove I think we can't remove the one we just they were thinking yes yes yes you can because not this but you can all these are steps move the steps move the new data just follow the steps so now you move it it still doesn't happen so you move it it doesn't mean that it will and now release the data later you don't understand the steps so so it doesn't mean that when you bring it in all the things that have been done it doesn't carry everything and apply to it yes you know how VBA helps the steps that you use the steps that you use it will follow the steps it will follow the steps and walk it will follow the steps it will follow the steps and walk so probably they are just already friends we have all the three so so so let's move that so let's move it so so so now one more thing oh it's also been upgrade so let's do one more thing so now if you notice every first was work in this calendar every later but we don't have yes yes steps steps we have to convert it so let me change it to to get it in to work that I have it so you have to you have to but this one works I mean but you have to I remind you if no you don't want we are wedding or year or let me go on now when you take date in your visualization because working about analysis is that you have to have your end goal in mind so you will take dates now we don't have yet if we take dates it means that our table we show 0101 0101 1970 0101 0101 the size is usually value it will show like 20 20 20 20 so we do not have to size now you don't enjoy it so what do you do so so can you set up because I will give you in fact you have to you have to you have to you have to you have to you have 90 90 is a group you said pretty good so can you take it back to here take it back to here first yes take a new step so whenever you see add new step do you see one add new step and correct step what does it mean new step will be in the column we place in it we place the correction so now a new step will be that is how we get a new step so now what we want to do is add a new column whereby for every 20 2017 or 2016 or 1998 you must bring it as it is that what we want to do now whereby in 1980 20 oh it has already changed so I want it to be here so now whereby it is in 1970 but if you bring it as 101,1970 when it is in 1992 which is bring it as 101 and then there is no month so our month is first of January that what we want to do now add columns so now there is a load of analysis you can do here but you just want that we need which is if you want to create M language you create it from for some functions but now once built from an example column from example that we want to work with column from example when you selected here measure selected here they click on column from example from selection who have this one for where it is so now what you would now do is this you say give me an example since you highlighted the column I want to use 101 if you just need to start typing it is already giving you it is already giving you slash 101 then you see slash 1970 so which one is easy it is not easy it is not easy it is not easy one month it is not easy it is still not it is still not but I don't know where it is it is double click on it it is moving but it is not happy but I don't write everything it depends on the type it depends on the type yeah mine is one third one so one third one oh yes yes what about that one slash one slash yes so it works so click ok so now you notice now that there is now date there is dates everything is now settled now you are fine there is dates there is now contributor but this one thing you know that dates we have to connect to another date there is a date calendar that has only date calendar as it has only calendar it has dates every month number all those things ok so let's go on your break we will be using ten minutes ten minutes ten minutes for you so so so I know that people have picked up power bank because I don't know you notice that you know from the island of my experience is the order of the report as the visualization people are tired of seeing numbers can I say a line and I understand how this is going each line and mine the number the number of dates we don't have the technical side but I want to make this decision so if I see this and I see that I am coming down give that analysis for where I want to fall I want it down I am happy about those analysis it's up to you right now so so now let's go to power bank so let's go to home closer than right we have to raise ducks so that you know he knows this kind of we have to raise this kind of so for everybody you can let's start let's start let's start let's start this is the number so so first of all new measure means we are going to raise it if you go to modernity measure that we shall mention this is our traditional view so measure that which is new one so now you can see new measure if you put it inside new measure new that means Google followers new measure new measure new measure new that calculation now what was used yet new measure new measure now once you raise this kind of you can check that new table so what is written రెరుసౣ�ి కొలి విభి ఏైధునీటువrategy�ధండలె APPLAUSE, pulling the balls introduction. రిిార్payer�ునాధిరెలిముమకే Kirasters, altogether have blocked the game, now let us know the questions. let us know. ariusik Bright introductions Now, the Parisian рассказions, the Parisian maravilus. Part the destiny ofbeing reponsed that aggregates how old. Dacas formulas. Now in Dacas formulas, there are two major themes that I'd love to measure. The first measure is anchor measure. Second measure is time integrations. The third measure is variance. Now the anchor measure is the baseline. ete ā rou du Ṣu Ṣe Ṣe Ṣe Ṣe Ṣe meee Ṣe alaboo Ṣe tzwa bal Ṣe Ṣe Ṣe Ṣe Ṣe Ṣe Ṣe Ṣe bze Po  −                    −                                                                                                                                                                                                           එය, ඉ for සබ, ඉ සබ මොවන ගට 댓 potion වබ඾ම් ඔබො඲ාදුależy ගඩ�Bob වම පි මොවන් ඇ 것처럼වේි, ඈරුථිමාමා Hолод  lacks                                                                                                                                                                                                                              PN తావి ము మిరు విలితిం ఊిము కిభాయె. ము మికిరి మధంపింంచాంపికికంప౿ంటికికి. మానికిఖాపికికాటికికికికికికి.  absor 09 మిి లికింటా఑మ్వాన్క్ననిలింకాడికికింటాన్న్ని నిక్న్నిి. ఇటికికికికికలింటికివానాన్ని. సిరయాలినిండట స్ారడిండి సినోకినించి స్తిరిలూతిదిలి. స్పనవంపనం సినికినోని. సిసానించి సినోకిటించి.  Kazuo                                                                                                                                                                                                                             కివికికికిరంటิరడికిలూప్గ్డికసాసిద్వికారికితింట్ప్వికిసాధ్ప్డిస్ంటిసంటికికిట్డికిసోహ్కిdessus�ికికింట్వికి. ఆడిమాయవసి మాలిఎవి. మాలిమిన్కి మాలినాలి నిలిట౯ాలికి. మిమిటిక foreground మాలిక౿క౿కికి. మిలికికిటం, న౿లిని. కాటాలాల్లు కారికేయార్లూనిమి. కార్యాపకోవరాని. inappropriately Mm. Okay, so now he told you this whole, so his right behind the corner, he is telling Bo cheat people ,, ,, , , , , , , , , , , , , , , , , , , , , , گُنُ Tiger  than              Berkeley  먭  Diversity  矢 causing family  lotus  new                                            000                                                      subsidy ISHA  pozw繰, oh yeah, I see. nd what else do you have yet... nd I see. Supposed to include cultural platforms and maybe human 논 You will notice that one of the tables has many repeated నిక్ మోంధ్లీమలీలానావ్లీలు, నిరోస్ట్లీకొర్స్లూప్రోండివ్లాస్లుయావ్లాస్తూను అందర్లుదినటో. నిరోస్స్లూడవవ్ల్లీదివాస్తె.  ఝాన్మోగ్మ్  kidnappingజఆద్గిచఔంద మైనిఫ Barcelone ఆదాళోనాస్యకికి ఆదావ్స్లినాన నాలాసిాసిప్కికికార్కోటిలూ选 కలికద్లికికికికికినినిలెకికినినికిడికిక౿కి. మాతావరలినులౚనా లాతినివర మాలినురంతుతుగాతారలిక్టెనువినిసిధికేనింది ఒరప్ందాం మిషాచాను మినాకలిసింది కినిదాదా. So now, the first thing that I want to do is to have our anacompagion, our anacompagion, so how do we get our anacompagion? So in next, so let me do that, I am going to show you the data, so let me explain it to you. So first of all, what is the data that our investors are going to do with the anacompagion? We are going to talk about all of the anacompagions across time. So this is what we are going to talk about first, that is our anacompagion. Now, what is the data that our investors are going to do with the anacompagion? How do we get our anacompagion? There is no more. So this is what we are going to talk about first, that is our anacompagion. This is 10 years. 10 years. So that is 10 years. 10 years now. Yeah, so that is such a problem to see year and year with some units. Okay. Okay. Which one are you getting? 90th century or 110th century? So that is the thing that we should do last year. Last year. Yeah, last year is year. And we should get our own. 10 months. No, not 10 months. We are only getting our own data. We are only getting our own data. We are only getting our own data. We are only getting our own data.  Ree n We are looking like this, and we are looking at our analysis which spit out the rate of motion, its the Switzerland జాఒ półయధ్ప్ను ఇది� сనవ� free joint కికాపాయనొ పొణ్యాయిUI అకొతివిలు,చాటలినంది,గసార్యిన్గా. అదిట్యనే,కికయరower x 보시 belief thal nā ṃ川 koval n Ner j치가 ṣ Telapwit ṣ sört teta ān にちは Yani ʀ média ʀ épocaütʀtis Ph abnorma ʀosos ʀibos ʀpa women ʀpero ʀ 주는 ʀprawaga ʀbez сейчасgiving ʀbezan ʀ usual ʀewaaa sh어 そうacióin one tu forecast ʀbalone ʀborth now ˆ' Scah Chef d zawsze m對對 eṇu sgged va Seven ˆ' Ch allowance 5 o ˆ' 3 r intelligible group green just forget it everybody producing the number of people diseases that God loydČČČČĆ ڈňĄĆČĆĆĆĆą ڈĄČČĆČĆĂĆĔĆĄĄČČĆđČČČĆĆĔĆČČčĊĄČĔĆČČČČČČČČČČĐĐČĆČČČČČČČČČČČ� jiĘĈĆĀČĽĹČđČĦĈĈďČČČČĐČČĆĄĄČČČČČČČĘČČČĚ�  біль  bli                じ                                                                                                                                                                                                            państwa  Kirsty dan n ніujęiblyどもender padding ncontrent so to braid so to permit use какие ones trio no స Inspect After, గattend Special principalmenteన న కగ న కన కస  allowed you get vantage మాన తర న న బ�子jets యాన ార్శ archaeological view పాల్వకగి is ఇడిల్లా loses ఢూడింవతా and clarify నిハత్వకానాలూవకకఉ squeety అట్వనూ نమాకబా మికికా ంటకటొన WrestleMania țiằ 넣고 మాడి మాకోం మావాం మాకోం మువ్ంగానే మాంపృ మానిలి నకిచ్ ఠ఑నికో టినిలాన్ మాస్ది మారికోం, మికోంగి. dobre 5 בג explosion frei cousin that  ἀ Ὁ ᾅ ὡἍ ὒ ὡἎ ὤᾎ ᴀ ᴀ ᴀᴀ ᴀᴀᴀᴀ ᴀᴀ ᴀᴀᴀἄ ᴀᴀ ᴀᴀᴀ ᴀᴀᴀ body Fuck it.  inscription Do you know the job? How you are. As a passing issue, I don't want to look at the meaning, but want to look at the values. So pick values, don't pick today. What I want to do. So the function is all. All. 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