Transcription
Hello. My name is Evgeny Kovalenko, and in this video, I will tell you about a new feature in NotebookLM. This feature is called Data Table. It is, that is, a table with data. Its main function is that it can collect a huge amount of data from different sources and transform it, this information, into a structured table, a data table, very structured, very, uh, competently built, very, you know, organized, yes. If you don't know what NotebookLM is and how to use it, I have made a huge, detailed video from A to Z on how to use it. Please watch it if you are interested. It is truly a very useful and cool tool that can help you with many things. Well, now let's move on to the feature itself. To use this feature, we need to go to the website notebooklm.google, click "Try NotebookLM," and log in using your email address, right? Either create an email address or use an existing one. I have entered my email details, and I am in NotebookLM. We click "Create New Notebook." We are redirected to the site where a window opens with the sources we want to use. In this case, I will close this window. In this case, I will specify the sources, search for them on the internet. Web, yes, there will be a search on the internet. Web will be selected. And fast. I will do it for an example, so that it's a practical example. I will tell you a few examples, a few life hacks, right? Let's do this. Um, let's say, beauty salons in Tel Aviv, right? You can choose any topic. I'm just writing on an abstract, general topic for everyone, so that, how to say it, the artificial intelligence tool is not about artificial intelligence. I don't really like such things, so let's look at something that might, uh, concern both women and, in principle, men. Men can also visit beauty salons, why not, undergo procedures and so on. So, I insert them here, insert the sources. Now I have the opportunity on the right to studio. Okay, we have one broken source. Let's delete it, right? Here are our sources. Now on the right, we see Data Table, right, a table. of data, as I said. So, we click on, well, we don't click on the data table, we click on the pencil so that we can edit what we want to get in the end. We choose the language. We choose the language, what language we want to generate the table in. We can leave it in English. If you just click, it will immediately be English and default settings. Or switch to Russian. And we have a hint. And what do we see? What is written here? What is worth trying? Yes, create a table with the main findings of these research papers, using columns for title, author, key result. Highlight the most important quotes from the materials I have read, grouping them by topic and author. And list vacation spots in Italy, indicating cities, best times to visit, attractions, and costs. Yes? So, we have these prompt options. In this case, I have beauty salons. So, let's write this description. Yes, create a table summarizing information about beauty salons in Tel Aviv, using all selected sources. Then columns, for example, salon name, type of service, price, procedure duration, working days, working hours, phone number, social network or social networks, right? And click generate. After that, it loads, the table starts to be generated. After a minute and a bit, somewhere around that, I have a table created. I click on the table, where we see beauty salons. This can be done full screen. I will make the table full screen. Excuse me, I will be blocking a bit here, but, well, so that you understand what we got. So, we have the salon name, as I requested, there is a list of salons: Yulia, Beauty Hub, Lavic Beauty, Sound, Happy Hour, Cosmetology, Raffael, Rl Daniel Clan. Okay, there are all sorts of salons here, although it says barbershop here, which is not entirely correct. Type of service. What services are available in this salon? Yes. Peels, Russian manicure, nail extensions, kinesitherapy, uh-huh, eyebrow tattooing, and so on and so forth. Although, in principle, a barbershop is also a beauty salon. So, there are prices here, right? Here too, there's something. Procedure duration, data is missing everywhere. Here are the working days, data is missing. Here it is written, it extracted them. Working hours, it extracted. Phone numbers, it extracted, and there are social networks. You can also add an email address. And it also referenced the sources where it got this information. And this is how our table looks. Our data table, right? Data table. It's quite cool, especially considering, well, that is, how structured it is, right? You can manually write something out, meaning you don't have to rely on the sources I found. You can browse websites, collect price lists. The main thing is that they have a name. Either write them manually, or these price lists will have the salon name. Upload all these photos here and then ask it to create a data table. And it will scan all this data from the photos and transfer it into the table. This is very cool. And let's try another example. Let's write, for example, "All the Call of Duty Games," for example, right? Let it be in English. There are seven sources, I could have done it, I will add all of them. There is an option to do a deeper research. Now it will add the sources. So, click here, leave it in English and write "create a table." about all. That is, we will write "create a table about all Call of Duty games using all the selected sources." And then we will write the year, what it's about, first-person, third-person, company, online multiplayer. Here it should be price, Captain Price. And click generate. Less than a minute, the table was generated. Let's click on it, expand it to full screen and look. Yes, expanding the table, we see "All Call of Duty Series Game overview," that is, an overview of all Call of Duty series games, where we see the year, as I requested, we see what it's about, about World War II, we see first-person or third-person, right? So, here there is an option to switch between first and third person here. In 2008, some Ancient Rome, Julius Caesar, I don't even know. Cold War 2010, Cold War 2010, Cold War 2020, Cold War 2012. Wait. Black Ops Cold War. Ah, yes, this is what I was talking about, right? Okay. First-person shooter, it even clarifies. Here there is company, online, not online, multiplayer, price, well, here price, it should have been written purchase price of the game, not the price for which it was made. Here it wrote budget, that it was made for 8.5 million dollars, this one from 2004. Hmm, and you can also try to add to the table how many copies the game sold, for how much money it was bought. So, this is a very cool table, especially if, I don't know, for example, just as an example, if you are creating some content related to games, right? Some selection of games, movies, a selection of films with some actor, a selection of games from some parts of something, right? Like, for example, I picked Call of Duty, and so on and so forth. So, all these are structured, organized tables, relying both on the sources you can find on the internet, and on the sources you add, and on photos added by hand, and so on and so forth. Again, you can watch a more detailed video from me about NotebookLM, there is a huge video where I analyze it, explain it, show it. And this video was about Data Table. I hope you liked it and found it useful. You can support it with a thumbs up and subscribe to the channel so you don't miss new videos on this channel. And that's all for now. Thanks for watching. See you soon. Good luck. Bye.