from Ollie Horgan's side. They had the first effort on goal, just as you were coming across there. Ryan Rainey with a free kick, which drifted over the crossbar of Richard Brush. It was a free kick that was won by Ethan Boyd, who did ever so well after he himself had taken a long throw and helps on the attack again. A way to our left is an opportunity for Ollie Horgan's men to maybe open the score and Ryan Connelly shot that was blocked down in the area. And again, Slaggle Rovers are fortunate enough to deal with that situation. So the pressure continues to build here from the Donny Gall Club. I'm joined here in the press area by Declan Boyd tonight. Declan, Ollie Horgan will be more than happy with the start. His side have made to this game. Yeah, I mean, it's been slow by both teams, but I suppose Harps have been more positive. And a lot of the play has been up in Slaggle's half, per se, and Harps started very well after a free kick from out of the box from Ryan Rainey. Probably should have done better. Couldn't get it on targetting over the bar. But a few free kicks, and they started very sharply with Mihalovic up front looking very sharp. Yeah, Harps have made a couple of changes from the team that lost against St. Pat's at the weekend. Connor Tourish is in from the start tonight, as is Eric McWoods. They replace Yo-Yo Maddie and Bastion Haery who dropped to the bench. Slaggle Rovers have made a number of changes as well from their team that won so well down in Drojada. Shane Blaney among the players to come in for Slaggle. This match, one of five in the Premier Division tonight, and there's been an early goal in one of the other matches, Derry City in front against Drojada. They lead by a goal to knell at the Ryan McBride Brandiwell Stadium, and here at the showgrounds in Slaggle, where we've played just over nine minutes at Slaggle Rovers' knell, Fin Harps' knell. Thank you very much indeed, Jeremy Doherty, and we will be going back to Jeremy for updates on the football this evening. Fin Harps on Highland in association with BNS Credit Union Ballet Buffet, where their special car loan rate is now on offer. Own your car from the start with a fast, flexible and affordable loan from BNS Credit Union. Visit bnscu.ee or free from 1800 290 390. BNS Credit Union Limited is regulated by the Central Bank of Ireland.


Γεια σας! Είμαι Βικηγιαίρα και καλώς ήρθατε back! Σήμερα έχω ένα καλύτερο βίντεο για εσάς! Θα θα δημιουργήσω τρεις διαφορετικούς καρδιά με το ίδιο στενσίλ. Αυτό το βίντεο είναι πραγματικό από ένα καλύτερο βίντεο όπως εξελίσαμε το σαμπιλό σαμπιλό, νέα εξελίσταση από Simon Says Tum. Ευχαριστώ για το βίντεο μου, γιατί υπάρχει ένα κομμάτι εκεί, αν εξελίσατε πίσω και έχω ένα κούπονδρο για εσάς για μια εξελίσταση. Λοιπόν για το σήμερα θα χρησιμοποιώ αυτή τα καλύτερα στενσίλ. Αυτό είναι ο Λύφης στενσίλ. Είναι έναν καλύτερο στενσίλ και εγώ πλήνω να χρησιμοποιήσω σε τρεις διαφορετικές στενσίλες για να δώσεις λίγο ιδέες για πώς μπορείς να κάνεις τα πιο από τα στενσίλ. Ξεφτείς μου πρώτο καρδί, έχω ένα πιστό σαμπιλό, αυτό είναι 4 1⁄ x 5 1⁄ και εγώ εξελίσατε με κάποιο πιστό σαμπιλό. Θα προσπαθώ να χρησιμοποιώ τρεις διαφορετικές στενσίλες για να δώσεις λίγο ιδέες. Θα χρησιμοποιώ τα πιστό σαμπιλό μου για να δώσεις λίγο ιδέες και εγώ δεν είμαι πολύ σύντος καθώς έχω όλα στον κόσμο, γιατί είναι πολύ εύκολο να δώσεις όλα τα στενσίλες και να δώσεις λίγο ιδέα underneath. Λοιπόν, αν θέλεις να έχεις ένα καλύτερο καλύτερο σαμπιλό, που δεν είναι πολύ εύκολο, then πρέπει να χρησιμοποιώ λίγο και να δώσεις λίγο ιδέες με τα πιστό σαμπιλό μου. Λοιπόν, another way is to use some repositionable spray on one side of the stencil and this way you will make sure that everything is nicely secured on top of your panel. Αλλά δεν μπορώ να κάνω αυτό για αυτή η καρδιά. Now I'm moving to my second color which is spiced marmalade and I'm going to apply it from the edges towards the center without touching the center at all so I will have a lighter spot in the middle of my card and finally I'm going to finish off the background by adding some candy table only at the very edge of my card so this way I am framing it nicely and before I remove the stencil I'm going to add some water splashes with my brush there and I'm going to leave those to react with distressed oxide ink for a few seconds and then I'm going to blot them off and get a lovely textured effect and finally I can peel off the stencil and take a look at the result. I was really happy with the outcome so let's turn this into a card. In the new release there is this dye that cuts out you are my sunshine but I chose to use only the word sunshine and I have cut it out from white cardstock four different times I have stacked one word on top of the other so I get a level dimension there and I'm going to finish off my sentiment by stamping you are my with black ink so I can now add some glue at the back of my sentiment and stick it on top of my card and hopefully you can see all the dimension that I have on my sentiment and how it stands out now I'm also going to add some white nuvo drops all over and around the leaves and these are not going to turn out white because I have distressed oxide ink underneath which is going to react with these nuvo dots and it's going to color them which is exactly what I want a really subtle look now I'm also going to use nuvo drops to add the dot on my eye from the word sunshine and then I'm going to add some foam tape at the back and stick that on top of a standard card and this completes the first card for today using inking and blending directly on the background and of course you can use any types of ink that you have instead of using distressed oxide inks now for my second card I need to make sure that the stencil lays nicely on top of my panel so I am using some Tombomono at the back and I'm just applying it with my fingers there when Tombomono dries it becomes repositionable which is going to make my stencil sticky on one side and of course you can use repositionable spray if you have that so now I can apply my stencil on top of my panel and I don't want to have on the sides any stenciling so I'm going to put them at the back and I end up having a border only at the top and at the bottom I'm going to place my card inside the box and now I'm going to use some sprays these are the dilutions simmers sprays and I'm actually using pure sunshine and fresh lime I'm going to spray with the green one towards the top and I like that I get a fine mist as well as little dots and at the bottom I'm going to use the pure sunshine now as much as I love the look of sprays I really hate the mess that they make so I always have a box close by and if I need to spray something I will just do it there now I'm going to lift off the stencil and see the result and I think it looks amazing so here is a close-up look on this background and hopefully you can see the shine from the shimmers sprays now I'm going to turn this into a card so I'm adding a very thin strip of gold paper on one side and I'm going to add some foam tape at the back of this panel and stick it directly on top of a standard card size now for the sentiment I went with a die cut that says u and this comes from an older release by Simon Says Stuff I'm going to stick that on top of my card base and I'm going to finish off the sentiment by stamping are the best underneath now this card is so shiny in real life but so hard to catch in a photo however hopefully you can see how shiny it is here now for the next card I'm using a piece of white card stock I have placed my stencil on top and secured it nicely and now with a spatula I'm going to apply my paste this is actually nuvo glimmer paste in a lovely blue color it looks that I am applying the paste really quickly but I don't this is in fast forward so I made sure that I went slowly so that I don't lift any of those leaves I'm using my paper trimmer to cut off just one strip of paper with that glimmer paste and the lovely impression and actually glimmer paste dries quite quickly of course depending on how thick you have applied it and I have here a thin strip of silver mirrored cardstock this is a product by tonic studios I'm going to stick this on one side of my little uh panel there and I'm going to stick this panel on top of my card base by using a foam tape at the back all of these cards have a really versatile design so depending on the occasion you can stamp any sentiment in this case I went with a silver die cut that says hello this is an older die by simon says stamp and my card is finished and here are the three cards using inks sprays and glimmer paste over the same stencil always remember to place your stencil in different positions to get different looks so these were the cards for today I hope you had fun and you got inspired here are some close-up photos on all of them don't forget this is part of a blog hub there is a giveaway and a coupon code waiting for you on my blog thank you all for watching and I'll see you all next time


Hey y'all, it's Crystal from Crystal's Den and Garden, aka Crystal's Den, and I'm here to talk to you about one of my favorite topics, compost. We're gonna discuss what exactly is compost, what are the benefits of compost, but we can and cannot probably shouldn't compost, and I'm gonna show you two methods of composting that I use and that I find super low maintenance and really effective. Composting is such a beneficial act that we can do for the mom or earth and for ourselves. One of my favorite benefits of compost is the amount of waste it reduces. Where I live, 15 to 25 percent of the landfill is filled with yard waste and that doesn't even account for the other organic matter like food scraps and paper products that are in the landfill as well. So when we compost, we are recycling that waste back into the earth instead of filling it with landfills that are just emitting a methane gas that is not good for the environment. So composting really has great benefits in terms of just making the sustainable choice for the earth. And then when you get that lovely compost, you have some great nutrients to add to your garden. What exactly is composting? What is compost? Well, compost is basically the decomposition or breakdown of organic matter. Bacteria and fungi use this broken down matter to, well, they use water and air to help break down the matter and eat it essentially. So they eat it and that helps it decompose and break down into this wonderful rich, humus-like soil that is called compost. And when we use compost, we can use it to make our soils better. So for example, with clay soil, it can be really compacted. But when you add compost to it, it helps loosen it up a bit. With sandy soil, it can be really hard for water to maintain moisture. And so when you add compost to it, it helps to retain moisture much more better. And then when we add that compost to our plants, it makes our plants feel super happy because they get these great nutrients and they grow in a great abundance. So compost just has some really great benefits. And it is a perfect way to recycle our scraps and waste back into the earth and use it for great purposes. The bugs, we cannot forget about the bugs. The earthworms, they also help our our organic matter decompose and become this great compost. They eat it, they poop it out and it just helps with the whole process. So definitely can't forget about them. So what makes up our compost? Well, we have our nitrogen rich material or our green material or wetter material. That's going to be things like food scraps, vegetable food scraps, fruit food scraps, eggshells, grass clippings, fresh grass clippings. Excellent because they have a high nitrogen content. It's going to be our tea, our coffee grounds, our nuts, any type of foliage. We don't want like the roots of weeds or anything, but any type of foliage or like plant that you have, or maybe a plant that's not producing fruit anymore, all great nitrogen rich material that can go into the compost. Then we also have our carbon rich material, which is going to be our brown material or more drier material. And that's going to be things like cardboard and not just the regular cardboard we know, but also toilet paper roll cardboard and paper towel roll cardboard. Going to be really great brown material to add to compost. What else can be composted? Our sawdust can be composted. Paper, like regular paper, mail that you get can be composted. Nothing shiny or with the plastic slip, but just regular paper. We also can compost newspaper, not the glossy coupon paper. We want to recycle that, but the regular newspaper, we can recycle, we can compost that along with uncoated paper products like paper towels, toilet paper, toilet tissue, and then wood chips also really great for composting. And then small, small, small twigs, small, small twigs. This is all some really great brown material that we can compost that we can add to our compost bins and piles. And I just want to say that whenever we have our paper products, or whether it be newspaper, paper, paper towel, regular paper, we just want to make sure that we tear it up really good so that it is easier to decompose and easier for the bacteria and fungi to break it down and get it ready for us. I can't believe I forgot one of our essential compostable materials, which is dried leaves. Dried leaves are an excellent source of brown material and great to add to your compost. A couple other things that are really great to add are also hay and straw. And also with your cardboard and like brown paper sacks or anything like that, make sure you're also tearing those up when you add them to your compost. Breads, pastas, and grains are also compostable. Try and avoid composting sweet breads like cake or Twinkies. And also avoid composting. Pasta has a lot of meat or dairy residue on it. A few other things we can compost are pet fur, hair, dust from a dust pan, wood ashes, ashes from medicinal herbs that we've either smoked or burned. And this next one is sparingly because we don't want to bring too much smell to our compost, but beer and wine are also compostable. Water and aeration are also essential components to our compost. And those come a bit later whenever we make our piles or have our bins because then when you add that water and the aeration that gives the bacteria and fungi ways to use it to break down the decomposed matter and make it into that great compost. So we've gone over items that we can compost, but what are some things that we shouldn't compost? I will say that some of these items that I'm naming can be composted in certain environments, but from the methods that I'll show you today, they are not good to compost in. So this would be things like meat, dairy, oils, animal bones, pet feces, greases, anything like that we don't want to throw in our home compost, especially if you're starting out. Like I said, there are other methods that support composting some of those things, but for what I'll show you today, it will not be the best. Composting things like that will bring rodents or pests, unwanted pests, and will have really bad smells and it may make the decomposition process kind of slow a bit slower. So stay away from composting those types of materials. Now that we know what compost is, what we can and cannot compost and the benefits of composting, let's now talk about where our compost can be located and methods of composting. Where you want your compost to be located is up to you. I personally have chosen shaded areas so that the compost doesn't dry out, and I also chose areas that, well one that was close, kind of close to my back door, so like for easy throwing out, and a couple areas that are just close to the garden for when it's time to add the compost to the garden. So really make sure that you are choosing a spot in your yard or wherever you're composting that is convenient for you, that doesn't have too much sun, and is conducive to composting in. While there are various methods of composting, the two that I'm going to show you today are the trenching or bearing method and cold or passive composting. I really like these forms of composting because they're low maintenance and easy to maintain. The trenching or bearing method has been one that I have been using for the past two years.  I usually like to add some type of brown material to mix in there to kind of offset the smell a little bit, so whether that be leaves or wood chips or cardboard, adding that in is always going to be a beneficial factor, and then you throw the dirt back on top, add in a little bit more brown material such as some wood chips or cardboard, and call it a day. I like this method because the compost is nice and buried, so there is definitely not room for a pest to come. That was my main kind of concern when I first was composting was I didn't want pests coming, and so I found this method to be perfect because since the compost was kind of hidden, then it was easy for it to one breakdown and to not be messed up by anything in like by any type of rodents or pests. So trenching or bearing is a very effective method. It's simple. When we want to add that water or aeration, you can water the pile, the area where you bury the compost, and I usually like to bury it a little bit shallow so that when I do want to turn it or mix it, I can easily kind of unlift it from the earth and mix it a bit. So burying and the trenching slash the trenching method is very effective, really easy, and just perfect for composting. The other methods of composting that I utilize are cold composting or passive composting, and I do that in a couple different ways. Let me show you. So I have a bin here that I have been adding compost to. As you can see, there are holes throughout the whole bin to provide aeration. That way I don't have to worry about turning it as much. If you look inside, we'll see I have a mix of my brown material and then buried in there. It's a lot of the nitrogen rich material or our green material. Whenever you're having a bin like this, it's always good to have a good ratio of browns to green. Some people like to do three-part brown, one-part green. Some people like to do two-part brown, one-part green. I would suggest doing at least two or three to one, especially if you are cold composting, just so that you have that brown material to neutralize the smell and so that there won't be too much of a stinky compost. Here is my cold pile. Now this pile is filled with, I had put old, if you can see right there, old sunflower stalks at the bottom. Big shout out to Zero Journey for that tip. When you add those stalks at the bottom, it creates a natural aeration and then what I've done is just added a variety of things from food scraps to grass clippings to lots of brown material in there to again get that brown material to neutralize the smells but also add in that great ratio of browns to greens. This is a pile that I just let sit along with my bin. I turn them occasionally. I water them occasionally but I don't do too much to them so as not to overburden myself and to still maintain that low maintenance compost style. Now the holes in my trash can though do provide oxygen or aeration and the sticks and the sticks sunflower stalks underneath the cold pile provide aeration as well but it is good to turn the pile occasionally to get in order to move everything around a bit and get more airflow in there as well. I usually like to turn the one in the bin when I dump my food scraps and brown material in there and then the one, I'm not going to lie the one, the cold pile, sometimes it may take me a couple weeks until I turn that one but you know that's the thing about this type of composting when you turn it and you know how often it's really kind of up to you the more you turn the more the quicker to break down but I also don't put too much pressure on myself to be turning all the time just you know once maybe once a week maybe once every two weeks just whenever it's you know convenient for me but you know it is good to turn it occasionally to get that good more airflow getting going in there. In terms of watering those areas having that green material is gonna slash the water material is gonna allow for the compost to remain nice and damp but if you do notice that your pile is getting dry it is good to water it add some water to it I do that with with both of these if I think it's getting too dry and that will allow you to keep that good balance of adding that H2O with the air ration along mixed with your green and brown materials. Let me show you a cold pile that I started back in April and that is almost done breaking down and that I will be using in my fall garden. This is the result of a cold pile that I had started back in April I probably turned this pile a total of four times and I also added to it for about a month so it's been breaking down since then I'm really liking the way it looks the soil feels nice and fluffy you can still see like bits of like twigs and some remnants of leaves but the soil feels really good and it's starting to look really nice so I'm really excited I'm going to be adding this to my fall garden. Thank you so much for watching whether you start composting today tomorrow in 10 years five years I really hope that this video gave you some information on the benefits of it how you can get started what you can just compost and the ways that you can compost your compostable materials thank you again for watching this has been Crystal from crystals then in garden aka crystals then and I can't wait to talk with you next time happy composting


Welcome to Spotlight Advanced. I'm Adam Navas. And I'm Katie Blake. Spotlight uses a special English method of broadcasting. It is easier for people to understand no matter where in the world they live. Babies need someone to do everything for them. They cannot feed themselves. They cannot clean themselves. They may even need help going to sleep. Studies show that the first year of life influences the rest of life. However, there are things that can help each child start in a happy and healthy way. You may have already heard our program called Tips for a Healthy Pregnancy. But what happens after the baby is born? Today's Spotlight is on Tips for how to help a child have a healthy first year of life. The first tip is to create a safe place for a new baby. Parents cannot keep their children safe at all times. Learning about the world will include small injuries. However, there are several things that will help lower the chance for injury. Babies are learning about the world. One way they do this is by putting things in their mouths. Parents should keep anything that could be dangerous away from the baby. This could be anything small, sharp, or poisonous. Some examples include cleaning chemicals, medicines, or small coins. Babies will eat anything. Babies learn to crawl around six to ten months. This new ability to move brings a new set of concerns. Parents need to protect children from serious injury. Falling downstairs is one common serious injury. Another common injury is burns. Babies can get burned from fires, stoves, or water that is boiling for cooking. Babies have not learned that fire is hot. Water is another possible source of danger. Parents should always watch a child in the bath or near a swimming pool. Another big danger is parents who are too tired. A baby requires a lot of work. Often parents do not sleep very much. They can become angry when the baby cries for no reason. But parents should never shake or hit a baby. Shaking a baby can cause brain damage, serious injury, or even death. When parents feel this way, they should go to another room for a short time. They should ask for help from another adult. Raising a baby is difficult work. The second tip for making sure a child has a healthy first year is to give them enough food and enough sleep. A helpful pattern for babies is eat, activity, sleep. Stephanie Parker owns a company that sells sleeping clothes for babies. She thought about this pattern a lot when her own child was not sleeping. She explained this pattern on babysleepsite.com. She says it begins with eating. It is important that your baby get a full feeding. This will make it easier for them to know the pattern. It is tempting to feed your baby to sleep. But I would encourage parents to keep their baby awake after feeding them. By doing this, the baby will learn to fall asleep on their own. They will not need the breast or the bottle. When your baby is done eating, play with her and give her some exercise. This will encourage better sleep. When the baby starts to get tired, that is when you put them down to sleep. If you wait too long, the baby can become too tired. Then it will be difficult for them to sleep. If your baby is waking up after only 30 or 45 minutes or earlier, help them learn that it is not time to be awake yet. The third tip for a baby to have a healthy first year of life is to take them to a doctor. There are two reasons to take a baby to the doctor. The first is that babies need immunizations or vaccines. These important medicines protect babies from serious sicknesses such as hepatitis, tetanus, measles and more. Even though the child is not sick, these medicines are safe and helpful. The second reason babies should see doctors is that a doctor will make sure that the baby is growing at a healthy rate. A good doctor will notice things that may be signs of medical problems. It can be helpful for parents to write down any special event in a book or journal. These could be things like when the baby rolled over, slept all through the night or said her first word. This can be helpful in a meeting with a doctor. It is also a way to create a book of memories for the child when they grow up. The final tip to help a child have a healthy first year is to learn to understand them. Babies make many different noises. These noises may seem meaningless, but when parents pay attention, they start to understand the different noises. For example, one cry may be for hunger, another cry may be for pain. And just because a baby does not understand your words, it does not mean that they do not understand you. Babies need a lot of time and attention. Parents can use soft words. They can touch the baby's skin and face. They can look into the baby's eyes. All these things create connection and show love. This is not always easy, but it is very important. Garcia F. Narváez is a professor of psychology at the University of Notre Dame. She wrote about bonding with babies for the website Psychology Today. She writes, You need to be there. This means emotionally. Do not be doing other things. Do not be on the phone or computer. Do not even be thinking of other things. Pay attention to when the baby wants you and then talk, sing, dance, play with them. Take a break when you need it by passing the baby to another adult. Or put the baby on your back and do your work. Or bring the baby outside to see the natural world. What about you? What else do you think is important for a healthy first year of life? Did you follow any of these tips for your children? Will you follow them if you have children later? Tell us what you think. You can leave a comment on our website or email us at contact at spotlightenglish.com. You can also comment on Facebook at facebook.com slash spotlightradio. Subscribe to us on YouTube at youtube.com slash spotlightenglish1. The writer of this program was Adam Navas. The producer was Michio Ozaki. The voices you heard were from the United States and the United Kingdom. All quotes were adapted for this program and voiced by Spotlight. You can listen to this program again and read it on the internet at www.spotlightenglish.com. This program is called Tips for a Healthy Child's First Year. Visit our website to download our free official app for Android and Apple devices. We hope you can join us again for the next Spotlight program. Goodbye.


Module 1-2-3 covered the ways in which different groups of workers are exposed to air pollution at work, and the possible impacts this can have on their health and earning potential, and how policy can help to address this. The last module will delve into green economy and green jobs. It will discuss how a just transition to green economy can help address issues relating to occupational air pollution, and ensure that there will not be any unintended consequences. Let's start with the definition of green economy and green jobs. The green economy is focused on achieving environmentally sustainable and socially inclusive growth, helping to achieve climate goals alongside sustainable development goals. Green jobs are, therefore, jobs that contribute to achieving a green economy. Here is a definition of green jobs provided by ILO. Green jobs should provide better job quality and have better outcomes for an environment, such as use fewer scarce resources and contribute less to environmental degradation. It is estimated that, in general, 55 million jobs will disappear in mining and manufacturing sectors, while 45 million jobs will be created in service and waste management sectors by 2030. The transition to a green economy is driven by 1. Earth's finite resources and resource scarcity. 2. Observing the harmful impacts of non-renewable resources on people and planet. 3. Demand from environmentally aware consumers. And 4. Global environmental agreements and pressure from the local communities for governments to adopt sustainable practices. While green jobs should be better quality that is safer for workers, providing better conditions and better pay, environmental concerns are the driving force between the green economy. The green economy is seen as a key way to achieve climate change mitigation goals, but it requires investment in new technologies and new skills. It creates the risk of leaving certain groups of workers behind, especially informal workers, whose jobs may be displaced by new systems and technologies, such as in waste management. If green jobs are also supposed to be better and safer, this also places an increased burden on employers who may decide to employ fewer people with socioeconomic consequences for those who are left unemployed. Thus, the transition towards the green economy needs to ensure socioeconomic impacts are front and center. Here is an example of green jobs which has a specific inclusion focus. This model creates jobs for former prisoners who struggle to find jobs. Solar panels help to achieve emissions reductions. Ex-prisoners have secure employment and contribute to cleaner ambient air. However, ensuring inclusive green jobs is also about ensuring people who already have jobs can transition to jobs that contribute to climate mitigation and do not create pollution. This needs to happen on a large scale. This section will explain how a transition to green economy helps address issues relating to occupational air pollution, including some examples of green transitions in the transportation and agricultural sector. By its nature, a green transition should result in cleaner air and less air pollution. Key sectors for the transition including mining, energy, industry, and transport, which all are significant contributors to emissions. Looking at the transportation sector, for traffic drivers currently operating highly polluting vehicles such as diesel buses, often with no air conditioners, jeepneys, or took-toks, where they are exposed to fumes, a shift to EVs will limit their exposure and benefit air quality more widely. A wider societal shift to public transport, walking and cycling will also benefit air quality and, therefore, the fumes that transport workers are exposed to, as well as other outdoor workers like street sweepers or vendors. Another sector is the agricultural sector. Agricultural workers can be exposed to high levels of air pollution when agricultural burning is common practice. Most agricultural workers are informal. Green jobs in agriculture would mean. Firstly, changing practices away from burning, such as composting waste products, using biodegesters to generate energy. It also encourages more environmentally friendly farming practices with fewer pesticides and herbicides. The issue we should consider is that, as burning is used as a convenient, low-cost method, employing technology could cause job losses. The last section will focus on some challenges for a just transition and how we can ensure no unintended consequences. There are some challenges to achieve a just and green transition. First of all, top-down edicts or regulations hit workers hardest. For instance, the Philippine government issued closure and suspension orders for more than 20 mining companies due to non-compliance with environmental policies and nearing end-of-life mines. This brought to the fore not only mining issues but also the vulnerability of workers, communities, government sectors and enterprises. Secondly, blanket rules come with negative consequences. For example, rules on age of vehicles can hit those who rely on those vehicles for their income. For example, taxi drivers or delivery drivers. It is also need to highlight the necessity for comprehensive and coherent policies and measures to address the multi-faceted challenges and to pursue an environmentally sustainable growth while ensuring a just transition for those affected. Through the ILO, consultations were organized with national and local governments, trade unions, employers and other stakeholders, which resulted in a nine-point policy framework to transition the mining sector. Thirdly, structural drivers of inequality, such as unequal access to education, financial literacy and unequal access to loans, need to be addressed. Lastly, we should also think about how to encourage a green transition in the informal sector. As mentioned in the previous slide, the structural causes of inequality that prevent people accessing decent jobs need to be addressed. Inequalities stem from birth, such as access to education, nutrition, skills and training, social welfare and knowledge about working rights. Informal and formal workers should have the same rights in terms of access to healthcare, social security and unemployment benefits. In this regard, civil society, such as labor unions, can play a role in educating and empowering both formal and informal workers. It is also necessary to allow an access to incentives and financial structures, such as the subsidies for public transportation. For instance, the competition exists in South African cities between the informal transport sector characterized by the taxi industry and city efforts to expand public transport infrastructure by expanding bus networks in particular. Given the popularity of the informal taxi sector in South African cities, it clearly has an important role to play in facilitating affordable and equitable access to transport within the context of just transition. Experts have suggested that the taxi industry should be more formally incorporated into the public transport sector and should receive subsidy support specifically targeted at reducing costs for commuters who use taxis. They are encouraging signs that this process is underway with the Competition Commission recently recommending a subsidy for the taxi industry. Here are some key messages that you've learned from this module. Thank you for attending this module.


Hi, thanks for joining me today. My name is Thomas Mock and I'm going to be presenting a little bit of the history of Tidy Tuesday and how it can be used as a scaffold for a community of practice. So for those of you who haven't heard of Tidy Tuesday before, Tidy Tuesday is a weekly social data project in R. The initial goal was it was designed to help you practice data visualization and basic data wrangling. Really there's four core steps to that. Step one is every week on Monday, a data set is posted with a data dictionary and a related article. Step two, participants pull the data into R. They clean it, analyze it, you know, fit models and plot the data. Step three, participants then post the results and their code to Twitter with the hashtag Tidy Tuesday. Then step four, we all learn from each other within this community. So we're able to share the code, share tips and tricks, and learn from how other people approach the same problem. You can learn a little bit more about it kind of after the fact at the Read Me for Tidy Tuesday, which is bit.ly.com slash Tidy Read Me. For a little bit of history and some data around the success of Tidy Tuesday and kind of its history in terms of data, I have a graph here on the right that is a cumulative tweets for Tidy Tuesday by year. So you can see 2018, 2019 and 2020. This is only tweets that contain our stats, code, plot, graph, viz, data, or Tidyverse as well as the hashtag Tidy Tuesday in the text of the tweet. So you can see that year over year the number of participants is growing and the number of total tweets is definitely growing. So this adds up to about 6,400 tweets across the two and a half years that the project's been going on since April of 2018. Our GitHub repo has about 2,300 stars. There were about 2,000 unique visits last week with 1,582 unique participants within the tweet data set. And this represents 116 weeks of data with 116 weeks of code and analysis and plots that you can reference and look back on. I also have a link to the code that created this graph, and you can get access to all the tweets underlying this data set. So that's great. I mean, Tidy Tuesday is a public data project. It's run through Twitter. It seems to be fairly popular. There's a lot of tweets about it. But really, what is Tidy Tuesday? It's just data. It's just the sharing of data. But it's data that can be read into R in a few seconds with an article that provides context for that data, with a data dictionary that makes it easier to get started with that data and understand what you're working with. With dozens of example analyses with code every week, so you can compare your work against others and learn from both experts and people that are new to the data set. And lastly, it's data with a community of learners and mentors who are self-motivated to explore and share knowledge around it. But again, what is Tidy Tuesday? It's going to depend upon who you ask. For some participants, they copy pasted some code, changed some of it, and they're happy to keep it in their local machine as they're learning. For others, they read in a file from internet, specifically from GitHub, visualized it, and then posted the results in the code to Twitter. They get a lot of feedback on it, and they improve their data vids. For others, they do a live screencast. They run some statistical models and machine learning, push the output to GitHub, and post the analysis to Twitter, where other people can explore it and then see the code after the fact. And other people, they even write full-blown articles or blog posts where they write some code, do an analysis, and then post those results to Twitter that are then shared with the same hashtag. So for all these people, they're still accomplishing the same project to themselves, but they're all approaching it in different and unique ways. So again, I'll say for the last time, what is Tidy Tuesday? Tidy Tuesday is a scaffold for a self-directed community of practice. That's kind of a clinical definition. We'll dive into the different parts, but again, you know, scaffolding, self-directed community of practice, those are the three core parts. In education, scaffolding refers to a variety of instructional techniques used to move students progressively toward stronger understanding and ultimately greater independence in the learning process. So take someone who's learning a new topic along this process, understand both the data or the process itself better, and become more independent as they learn. And this is part of what Tidy Tuesday accomplishes. As far as self-directed, that really just means that each individual is self-motivated. There's no one there, you know, checking their work and enforcing them to do it. There's no one there saying, oh, you have to do this within a time frame. You can approach it whenever it's convenient. So some people do this weeks after the fact or years after the fact, and some people do it the exact day that the data is released. But everyone is self-motivated to accomplish this if they're participating. And then lastly, it's truly a community of practice, where you can define a community of practice as a group of people who share a passion for something they do and learn how to do it better as they interact regularly. This is voluntary and driven by the community. So again, it's just data, but there's a community that's built itself around this and we all share a passion of sharing knowledge around R, learning about new topics, and sharing that knowledge with our fellow community members. These types of communities are often successful through generating enough excitement, relevance, or value to attract, engage, and retain members. So part of this is that the data itself has to be interesting or the topic has to be interesting, or the act itself learning more about R and how to be a better data scientist or statistician or R programmer. This leads to success. And then lastly, you'll kind of note that this presentation is not a story about me, but rather the Tidy Tuesday project, really the community that has adopted it, extended it, and made it its own alive environment. If we think of the building blocks of cultivating communities of practice, there's a nice book by Harvard Business School, and I've got the link here at the bottom, and they have seven core topics for building successful communities of practice. So creating a rhythm for the community, designing for evolution of the community, opening a dialogue between inside and outside perspectives, inviting different levels of participation, so both newcomers and experts, develop both public and private community spaces where people can share and interact in different ways. Definitely a focus on value, like what is the end user or the participant gaining from participating in this community. And then lastly, the combination of both familiarity and excitement. So something new, something old, something to learn. We'll break down each of these different topics with some examples of what the community has built. So step one is creating a rhythm for the community. So what this really means is that there's a consistent timeline. So for Tidy Tuesday, you can know that every single Monday morning, there will be a new data set. It will be uploaded to GitHub, and there'll be a tweet announcing its presence and kind of its release. So every week we say the R for DS online learning community welcomes you to week number N of Tidy Tuesday, and we're exploring something new. In this case, we're exploring Caribou locations this week, and you can see the tweet in the top right. And then on Tuesday morning, we officially announced that it's Tidy Tuesday, y'all. I'm from Texas, and so I want to be as welcoming as possible, as inclusive as possible, and just really welcome everyone to launching the data set on Tuesday. By launching on Monday, in terms of posting the data on Monday, you have access to it before people actually start to generally create analyses or create plots on Tuesday itself. But again, this consistency means that you can expect it to be there. So maybe you don't have the time to do it this week, you know next week there'll be something new, or maybe it's not as interesting to you. Again, there'll be older data sets that may be more interesting, or future data sets will be more interesting, but it'll always be there. Step two, design for evolution. What this really means is that the community is going to shift and change. And, you know, different people are going to come in and participate in different ways. And you have to kind of be willing to let this kind of happen naturally, and help participants engage with the community. So we can really think of, you know, the evolution of Tidy Tuesday as part of the evolution of the ARFRA data science online learning community itself. So let's take a step back to 2017 where Jesse Mostapak, you know, created the ARFRA DS online learning community. She created initially as a place to read a book. In this case, it was a Slack group based around the idea of reading through the ARFRA data science book as a book club where people could, you know, participate, ask questions of each other as they move through the book itself. She's got a lot of wonderful topics and kind of write ups and both presentations about what she's done. So I recommend seeing the links at the bottom of the slide for more information. But long story short, this community, you know, exploded into much more than just a book club. And it ended up being truly just a place to learn. So learners could come here, engage with the book, engage with the experts, and really engage with people who were willing to mentor. So these mentors weren't necessarily like one to one mentor, but one to a few mentor, where each mentor could answer your question they may have or help you solve a coding problem. But importantly, people were fluid in terms of going from learner to mentor and mentor back to learner as they moved through the book and either new more or new less. And Jesse did a fantastic job about curating this community, making it making it safe and a good place to ask questions. And lastly, it kind of turned into a place to build. So again, Arthur Diaz kept growing and growing beyond just this book club. And Jesse realized that, you know, I think she realized in terms of this, how I'm approaching it was that she couldn't do everything. I mean, she was doing so, so much. And so she was giving people the freedom to build upon the community or expand on topics they were interested in. And this is where Tidy Tuesday came from was part of the mentor group, putting things together as part of this better approach to engaging people on a consistent basis. And this ultimately led to a community where the R4DS online community is still around today. You can find them on Twitter, you can engage in the Slack group, or you can just talk to people out in your own community that are also part of this sub community. So if you think about this retrospective, and I'm pulling some quotes from Jesse's presentation at the 2019 RStudioCon, she realized something, which was that she couldn't do all this by myself. And so part of her goal was empowering people to say, what do you want to see in this community? And if someone came to her with an idea, you know, that's a fantastic idea. How can I help support you in making that a reality? Because again, it's very hard to scale an end of one. But if you're willing to let the community evolve and bring in other people, then you can have these wonderful, you know, offshoots or building up with the community in a natural way, just like you do with traditional open source. So my summary here is that communities evolve, and it's important to let others fill roles, become leaders and engage with each other, really just an evolution of how the community operates. The next step would be opening a dialogue between inside and outside perspectives. So in this case, you're going to have people who know everything about TidyTuesday, they've been doing it for years, and they just kind of go in and do, you know, new techniques on new data. For other people, this might be the first time that they've heard about this project, or they've heard about this community of practice, and you have to be kind of able to meet both people where they're at. So step one, kind of to improve this process was we needed to make it easy. So for, you know, the third first one, this is the very first data set from TidyTuesday in 2018. So April 1st, I uploaded this, and you can see it's pretty minimal. It's just an Excel file, and that's it. So if a newcomer came to here, they're like, what am I supposed to be doing? You know, should I download this? How do I read it into R? How do I get started? So this was not as easy as it could be. Today, we've adjusted this to include raw code to read it instantly into R. So you don't have to download the file temporarily, and then read it in. You can actually read it directly into memory with this code. So every data set comes with code to read it in. Additionally, we have a nice readme. So each data set comes with a readme with kind of a hero image about what we're talking about or, you know, researching some contextual articles, maybe from Wikipedia or from official sources, and where the actual original data set itself came from. So if you wanted to recreate the analysis to get the clean data from the raw data, you could do that as well. Lastly, there's also a data dictionary. So every data set comes with a description of all the variables, the class type, and the variable name, so that when you are coming to this, you know, fresh, brand new data set, you can actually get started with it and understand what's going on with the data set. And then the real last part is the cleaning script. So every week, you know, it takes a little bit of time to clean up the data and prepare it for analysis. This is all the steps we've done prior to uploading it to the community site on GitHub. So you can kind of figure out, hey, why is this, you know, off or why is this happening? It's because it was changed at this level. Now, while that made things a lot easier, you know, you can really make this even a step easier itself. And you can make it easier. And so LS Hughes has done a lot of good work with the Tidy Tuesday R package to make this process even easier. Today, you can install it on GitHub at the bioengineer slash Tidy Tuesday R. But I know that LS is looking to have it on Cran shortly. So the main goal of Tidy Tuesday R is to make it easier to participate in the weekly Tidy Tuesday project. So currently, this is done by assisting with the import of all the data posted on the R for Data Science Tidy Tuesday repository. So Tidy Tuesday R provides functions to let you load the read me the data and basically all the necessary information into your R session or your studio session, all by just passing a date or a week plus year. So you could give like, you know, today's date. And that would, you know, find the data set for this Tuesday, or you could say, you know, week 12 of 2019. And it will pull in just that data set. You can also find a list of all the data sets that are possible. So again, it kind of makes it easier where you don't have to go to GitHub and kind of look up the data sets and forgot what's going on. You can just operate just inside your R session as you're used to. Additionally, for some people, maybe they want to look at an older data set and they want to find how other people approach something. Tidy Tuesday dot rocks is a shiny app written by Neil Grantham. And this is actually a collection of all the past Tidy Tuesday submissions. So all the tweets with the graphic or the plot that they've made, as well as the code that they've used. So with this, you can filter by different data sets, you can choose a different weeks of interest, or you can filter by users. Maybe you want to look at, you know, Dave Robinson's post, or you want to look at your own post that you've made, you can use this to go back in time to find these data sets and compare them against your own analysis. So this is a great resource for, again, people who may be new to the community and are kind of outsiders looking in. For the insiders who have already been there, they can typically use whatever method they like. Tidy Tuesday R, downloading the data set, forking the GitHub repo. There's many different ways to accomplish it. But again, making the kind of hurdle to get started lower is very helpful. And this kind of leads us to the next part, which is you need to invite different levels of participation. You want to have a mix of people who would be considered learners and some people can be considered mentors or experts and novices. These different kind of melding of expertise allows people to both learn from each other or learn from different domains.  So all sorts of different kind of merging of both domain expertise and actual skills in the specific data science language. So again, R4DS was kind of focused on the idea of mentors and learners and learners and mentors and kind of the shifting back and forth of the different roles where people began to learn and helped others, just behind them up and people who were more experienced again helped each other out throughout the process. And we adopted the same idea for Tidy Tuesday, which is we welcome all newcomers, enthusiasts and experts to participate. So regardless of your follower account or kind of your expertise, please participate and kind of learn from the community and age. And again, regardless of your follower account, the hashtag TidyTuesday gives you an instant audience. So even if you're just getting started with Twitter, you can use the hashtag to find other people who want to engage with you in this community of practice. For this, this means that maybe you're learning new skills or if you're an expert, expanding your existing skill set, getting exposed to new packages or a package used in a way that you didn't know how to do before. Additionally, you can share expertise so you can kind of help guide other people to making, you know, better choices with data or better data visualizations or better use of modeling and keep yourself fresh that way. And as Dave Robinson said, it's kind of like a way to solve a never ending stream of novel problems. So there is some enjoyment here in terms of always being challenged with something new each week. There's a bunch of other different ways to participate or learn from each other. So Jake Calcutt is a great participant and one of the mentors at R4DS. He actually went through and did all 52 submissions for 2019. So every single week he has a dataset cleaned up, visualized, and all the code necessary to do it. You can find his repo down here at github.com, Jake Calcutt slash TidyTuesdays. So that's a great way to like look back at someone who's done a great job and they're really an expert in their field and looking at how they approach different things. You can also learn by watching an expert on, say, a weekly TidyTuesday screencast. So both Julia Silg and Dave Robinson do weekly screencasts with the TidyTuesday datasets. Julia usually focuses on kind of the TidyModels ecosystem where she works here at RStudio in kind of incorporating different techniques from TidyModels into analyzing new data from TidyTuesday. Dave kind of does a similar thing which is, you know, exploratory data analysis, maybe some modeling and data visualization, but really just diving into the dataset with fresh eyes. So he never looks at the dataset ahead of time and he really just does one hour of uninterrupted fresh approach to a dataset. This is really cool because you get to see kind of an expert in motion about how they approach new problems with their existing techniques. They both have YouTube channels which you can find here on the site or they have a blog or a capture of their, you know, the code that they've used as well. You can also learn by watching other experts walk through code and explain it. So Patrick Ward and LSU's also run something called TidyX. You can see their channel at the bottom of the screen. In this example, they go through, find a particularly engaging visualization or analysis from that week's TidyTuesday and dive into the code and help explain why these decisions were made. So they're really, you know, rather than showing you per se, like how you would do it, they're explaining how someone else did it. And this is really helpful for understanding some code because if you look at, you know, 200 lines of code, it's sometimes hard to really internalize it and they do a great job of diving into the code, explaining what's going on and alternative techniques as well. Another really cool example, especially for people who get slightly overwhelmed with seeing large amounts of code all at once, are these flip books, which are put together by Jenna Reynolds. So for these, she has a combination of presentation style, where on the left you have the raw code and on the right you have the data visualization. But because it's done through Schrodingen, it actually lets you build up the plot piecemeal and like chunk by chunk. So in this case, it'll go through and add each different line one at a time. You can see how the data visualization actually changes over time. So you can see, okay, here are the different steps they took and why these things occurred and how that affected the data visualization. So this is another great opportunity to understand why or how something occurred. So while there are a lot of different ways to kind of learn from this community and obviously you saw, you know, five different ways for people to engage with it beyond just posting the code and their kind of visualization to Twitter, it's also really important to develop or at least have public and private community spaces. So the idea that maybe not everyone's comfortable sharing on their personal Twitter a bunch of data visualization or some code they're learning. So it's important to have alternative, you know, venues for them to learn from each other.  One of my favorites that I saw back in 2019 was Alison Horst actually put together a hacky hour based around Tidy Tuesday. She got some of her data analysis students and stats students together. They would go to usually like a restaurant or a brewery, hang out together and do some live coding on the Tidy Tuesday dataset. So learning from each other, engaging in like a physical community as well as with the larger virtual community. More recently, because of the COVID epidemic and pandemic, a lot of different things are moved online. So the Boston R user group has actually done a few different Tidy Tuesdays on Zoom. And this actually has been exciting because it opened it up to a much larger population. You think about, you know, you're able to get people on entirely different continents or people in different time zones or physically, geographically separated, all participating in small groups around the same dataset. Additionally, there's obviously the R4DS Slack group itself. So you can join the R4DS online learning community on Slack, where you can ask questions, answer questions, or just engage with the community by going to the r4ds.io slash join link. And this will help you create an account and get started with the community. Beyond just engaging there where there is actually a Tidy Tuesday channel dedicated to, you know, talking about Tidy Tuesday, Cedric Sher, Alex Cookson, and John Harmon have also done a great job of putting together virtual meetups. So this has been, you know, a semi-consistent way of like, again, doing some of these, you know, YouTube groups or Zoom meetups or other groups where you're joining together as a virtual community and engaging around these datasets. But again, maybe it's a slightly more private than posting directly to your Twitter. Additional Tidy Tuesday venues, and I've got a bunch here on the right, is the idea of kind of extending or expanding your existing community. So there's been lots of Our Ladies groups that have used Tidy Tuesday for workshops or Tidy Tuesday for, you know, a user meetup, a working group to learn about text analysis or the like. And a really interesting one I saw was one from Dr. Stephanie Spielman, who for her class actually gave her students extra credit for allowing them to participate in Tidy Tuesday. So for each participation they did, they got some extra credit. And this was a way to extend the lecture with free exploration. So the students were able to engage with both the larger RStats community and, you know, the larger statistical programming community, engage with new datasets, learn new skills that weren't kind of as structured or as tailored to a course or a classroom. And what this really breaks down to is just having an additional small group where you can work together on a shared problem. I've seen this play out in, you know, other industry examples, you know, people in data science organizations where they're learning from each other and sharing skills as they grow together. And I've seen an industry, some are using this as a framework for interview testing or for as part of the interview process to say like, hey, we'll give you a Tidy Tuesday dataset, you do some analysis and return it back to us, and that'll be part of your interview. And that kind of leads me into the next part in terms of the interview in Tidy Tuesday. And maybe this leads to some type of career opportunity for you or a job. So it's really important for there to be a focus on value. So you do have to get something from the community. Verle Van Son had a really good blog post about the 10 reasons why she loves Tidy Tuesday. And this is really like 10 reasons why she feels like she's getting something out of Tidy Tuesday. A lot of this is, you know, getting inspired by the creativity of ever discovering new functions or packages and how they're used with data, learning to do better data visualization by making plots self-explanatory, practicing existing Tidy for skills or learning new ones, really learning how to fine tune graphs and get them publication ready, obviously discovering new data every week. And maybe it's really interesting and it's something you've always wanted to analyze, but didn't know how to get it. Being part of the larger R stats community. So not only you engage in with Tidy Tuesday, but this kind of opens you up to all the wonderful people on Twitter that are part of the R community. Additionally, again, exploring those interesting data sets, so going in and diving into them, you know, really doing a deep dive with a lot of other people, trying out different or new plot types. And lastly, kind of a joking one, getting inspired to tidy up your own home. So a lot of people actually use the Tidy Tuesday hashtag to, you know, advertise for like Murray condo or other types of like cleaning up of your own home. Additionally, in terms of value, there's the idea of kind of building your career through projects or public examples of your expertise. So Jacqueline Knowles and Emily Robinson wrote a book recently called Data Science or so building a career in data science and then a nice quote in here specifically about Tidy Tuesday. This book is available online. You can go to bestbook.cool for the whole book and then I've got the sub chapter as well. But reading the portion, you know, learning on your own means that you don't have a teacher or role model. And the best way to counteract this lack of a teacher is to find a community of people where you can ask questions. One great example is the Tidy Tuesday program. And this talks about, you know, data scientists coming together using R to tackle data science problem. And as a larger part of this, the R4DS online learning community also, you know, solves this solution of finding community people where you can ask questions. So this was a great example of highlighting some of the value. Additionally, Dave Robinson talked a little bit about Tidy Tuesday in his recent presentation at the 2019 RStudioCon titled The Unreasonable Effectiveness of Public Work. And what you can think of here is he used to think about his goals here in the top left of, you know, things got more valuable as they got closer to a published paper. When in reality, really anything that's still on your computer and only you know about is less valuable than anything out in the world. That could include a published paper, but maybe it's a blog post or open source contributions or a tweet or some type of data product that you're sharing with others. So this free sharing of knowledge and kind of proving your skill set is very valuable for individuals to kind of get noticed. And Dave said that one of the most remarkable projects that enables exploration of new data is Tidy Tuesday. Share what you can learn with it. And these are things, these are data products out in the world that again highlight that your expertise are lying to share and gain knowledge within a community. And then obviously maybe you do just get hired out of Tidy Tuesday. So Z Yang had a lovely post here where she walked through creating a D3 tree map using the D3 tree R package. And as part of this, she actually found out that she got a job interview and potentially an offer because she made this tree map for Tidy Tuesday. And so she said, you never know who's watching you to get calls from those who would like to hire you. Keep up the good work and continue sharing with us. So, you know, again, these public kind of displays of knowledge and kind of sharing knowledge within a community can help you lead to jobs as well as just knowledge gaining for knowledge's sake. And then just kind of one other data point. There's some ongoing research about the Tidy Tuesday project itself. So kind of pun and cheek here is learn by learning about learning. So in this case, some researchers at the University of Tennessee and Thermo Fisher Scientific analyzed the Tidy Tuesday project and some of the tweets there and found that participation over time and longer code was typically related to being recognized by others. So by participating in the community, they either, you know, expanded community or at least got more likes and retweets on some of their publications that they're putting out on Twitter. The last part is the idea of combining familiarity with excitement, you know. So things you know how to use, you know, you're starting with R, you know how to use different things in R or different packages. But you know, the excitement that comes with a new project and something short term that you can actually accomplish in, you know, a day or an hour or whatever. And specifically something novel. So you don't really know about it or maybe it's something interesting, but you haven't seen it yet. So this excitement along with the familiarity of your tools. And this really breaks down to you're using the same tools, but you're implying them in novel ways. So if we look at just a small handful of the 116 datasets that we looked at, we did things like Star Wars characters, park safety, New York restaurants, online news headlines, horror movies, number of birds that collided against airplanes, USA births by year, NFL attendance, dog names, anime characters, TV show ratings, cat and dog popularity within different states, prisoner populations, military brain injuries, federal research and development budgets, voter turnout or Thanksgiving food popularity. So while some not all these data sets may be interesting to you, they're all probably new. And you can probably find one that is interesting to you and you can apply your skill set to it. So this brings us to kind of the end of the presentation. And again, I've asked this multiple times, but so what is tidy Tuesday? Again, it's just data. But it's data that can be read into our in a few seconds with an article for context, with the data dictionary, with dozens of example analyses with code every single week, with a community of learners and mentors. All this comes together to provide you a scaffold for, you know, self directed community of practice. So with that said, it's tidy Tuesday all. And I hope you join us in contributing to this community of practice. Thanks for your time.


The pressure very much on Marcus Babel, just one win in the past 10 games for the Wanderers. Remember, they were flying high. They had nine points out of nine to start the campaign. Perth, though, smiles on their faces, led by Liam Reddy, looking for a club at record. Sixth win in a row. Five in five for Fornaroli, four in the past three. Oh, that was a tight pass to Ziegler. Pounced upon by Bremer. Bruno Fornaroli, low-puff election. A yellow card, and it's six in six, and they're in front six minutes in. Well, it's just a sloppy pass, and Fornaroli punishes the sloppy Wanderers. Duke's interested here. Bremer couldn't get there. He utilised the speed of Yabala, went to ground. Giorgiewski onside. Great ball. Moller, beam in front. Well, for once, they got penetration. Giorgiewski down the left-hand side, and you thought, you thought goal when it left the boot of Moller. Three goals, and an assist for this man. Since he arrived down under, it's the injury replacement for Majewski. Kamal. Duke trying to get there all the way through to Giorgiewski. Did he chest this? He might have armed it. Might be a handball, might get taken away here. And now, he's been convinced that it's a free kick to the glory. No Wanderers fans are thinking of it. Took that bit off. Trisha's hitter, but in the attacking third. Kamal, opening up the angle for... Can you just be one of the to bend a bit? But he's hit it so cleanly, and that's better from Bruce Fornaroli. Nice and confident with conviction. Kilkenny's delivery again. Delt with by Duke. Second time around as well. Bremer shielding it intelligently. He's seen a lot of the ball, hasn't he, in the last 10 minutes, Castro? Sliding challenge. Giorgiewski, and then trying to ping it in the top corner with Bremer. He hit it sweet. Oh, he hit it sweet. Now, it looked flat, didn't it? Sort of rose right at the last few meters and took it sailing over the bar. It's that strike as Castro drives inside. Great block from Giorgiewski. That was back to Bremer. Look how it rose right at the last moment. And then dipped, and so Elrich has moved to right centre-back. We take Russell on the right full-back position. Giorgiewski didn't get the whistle. He was after Fornaroli. Look at all the space to drive into. Key and Asi might have strayed. Flags days down. He makes it through. Here he angles his run. Does he play it? He's off. It'll stay three and three. There won't be four in four for Key and Asi. Schweigler delivers. On the edge of the area, Giorgiewski. Sullivan has time to track it down. Spun back nicely for him. Push in the middle. Referee says that'll do us. And the Perth-Glory have a six-game winning streak for the first time in their eight-league history. And the woe for the Wanderers continues. Marcus Babelside slumped to another home defeat.


Four Nigerian Navy ships and a helicopter five-day combined naval exercise codenamed Grand African Nemo was flagged off in the Nigerian waters with four Nigerian Navy ships and two helicopters participating. The exercise, which is coordinated by the French Navy, according to the flag officer commanding Western naval command, Rare Admiral Yacuba Wombay, was aimed at supporting the efforts of regional navies with a view to countering criminal activities in the maritime domain through different operational modes of planned exercises. Exercise Grand African Nemo 2022 is a continuation of series of exercise that started in the year 2018 which is geared towards enhancing the operationality and collaborative efforts of both the Nigerian Navy and other Gulf of Guinea navies collaborating with our zones, navies of the zones, then our international partners. The essence is to continue to keep the Gulf of Guinea and host nation waters as safe as possible. So once we are able to continue to have this under their own architecture, we believe that we will continue to see as we have seen Nigerian waters becoming pirate sea-free, other nations will also have a similar trend as they continue to do this. By and large, at the end of the day, we expect to have safe seas that is open to commerce and communication.