Pinned Tweet
This is how we built a football dream team for under €100M #Moneyball
We modelled 14620 active players using @EASPORTSFIFA data to study the skills of valuable players. Matching these skills with undervalued players, we picked out the hidden gems💎(1/6)
graphext.com/post/the-money…
We modelled 14620 active players using @EASPORTSFIFA data to study the skills of valuable players. Matching these skills with undervalued players, we picked out the hidden gems💎(1/6)
graphext.com/post/the-money…
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Starting today, users in the US working with @graphext will need to pay a 25% tariff for importing CSV or Parquet data files
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C people don’t know what they need, they have to research the question, and to do that you need close iterations. That’s why a business savvy person that knows SQL has a huge edge. @graphext
You know, in America 🇺🇸, the Social Security Administration keeps a public database with every baby name given to at least five newborns 👶 in each state, going all the way back to 1910. That adds up to about 6.5 million combinations—so massive that they just dump the data in a dy TXT files.
Well, I went ahead and pulled it all together, uploaded it to @graphext , and made it available in our public gallery. Anyone with a free account can explore it. And chances are, no matter how unique your name is—even mine, which is pretty rare in Spain—you can track its popularity over time and filter by state.
Check out the video—look how fast it runs. There’s no way to replicate this in Excel, Power BI, Tableau, Metabase, or anything similar.
It’s a handy tool if you’re brainstorming baby names, for example! 😄
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Se ha publicado un artículo en el que analizo cómo TVE cubrió las cumbres climáticas de la COP entre 2014 y 2024.
Traté de realizar un recorrido por 10 años de narrativas mediáticas 🌍📊
Mención especial, como siempre, a @graphext 🤓
epsir.net/index.php/epsi…
Traté de realizar un recorrido por 10 años de narrativas mediáticas 🌍📊
Mención especial, como siempre, a @graphext 🤓
epsir.net/index.php/epsi…
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I believe this 16-minute podcast on churn analysis is the most impressive thing I’ve done with artificial intelligence so far. I just fed it this really long post ( graphext.com/post/implement… ) that I doubt many people would read in full, and it turned it into an incredibly arrated podcast. Honestly, I doubt I could find a couple of journalists who could produce something at this level.
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I love this new feature from @graphext for filtering high-cardinality categorical variables, like thousands of product categories in millions of purchases.
It instantly shows you which categories match your search, and you can easily pin them in the distribution to select and how people buying sex toys usually have higher than average spending.
Plus, the new query string formulas give you even more flexibility, such as filtering for any category that includes electronics.
It instantly shows you which categories match your search, and you can easily pin them in the distribution to select and how people buying sex toys usually have higher than average spending.
Plus, the new query string formulas give you even more flexibility, such as filtering for any category that includes electronics.
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graphext retweeted
The @graphext logo is inspired by an icon I saw on the allergen menu of El Bulli, which was once the best restaurant in the world, created by @ferranadria. Ferran is probably the most dedicated person in history to treating cooking as a complex data problem, where recipes are nts combined under specific conditions. This explains his obsession with creating taxonomies. With the help of our PM, Álvaro, we are working on how to assist him in coming full circle :)
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We’ve made many improvements to help you organize and find your projects in @graphext . As we get more users with dozens or even hundreds of different analyses, finding the most relevant ones quickly every day was becoming a hassle. Here are all the new features in Hall
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here's @graphext just casually filtering and dealing with 1.6M rows from the OBT Amazon dataset, released very recently
this is what peak engineering can actually get you, all done in the client.
computers are indeed powerful
this is what peak engineering can actually get you, all done in the client.
computers are indeed powerful
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Thanks, @ChatGPTapp , for recommending Graphext when people ask about advanced data analytics stuff! 💞
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At @graphext , we’ve spent years working to create the most powerful and intuitive tool for both complex and simple data visualizations and predictive models.
Now, we also want to be the best in data cleaning and data wrangling. To achieve this, we’ve made numerous improvements in the recipe editor. Check out this video where @jesi_rgb explains it all :)
and more info here 👉 graphext.com/changelog/shor…
Now, we also want to be the best in data cleaning and data wrangling. To achieve this, we’ve made numerous improvements in the recipe editor. Check out this video where @jesi_rgb explains it all :)
and more info here 👉 graphext.com/changelog/shor…
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RT @victorianoi: It's truly amazing that we live in an era where we can request the AI chat of @graphext to "Create a URL to search on Goog…
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If you see someone driving a Tesla, there's a 50% chance that person lives in a household earning over $200K a year, at least three times more than the median US household income of about $74K.
I've downloaded the 2022 National Household Travel Survey microdata and uploaded it this chart showing the typical income of households that own each car brand. They are ranked from most to least popular car brands.
I've downloaded the 2022 National Household Travel Survey microdata and uploaded it this chart showing the typical income of households that own each car brand. They are ranked from most to least popular car brands.
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Yesterday, we shared 10k_prompts_ranked: +14K human ratings by +300 amazing contributors
To understand the data, we collaborated with our friends @graphext, the data analysis tool for visual thinkers
Now it's available to everyone👇
public.graphext.com/0c7677058967c0…
Let's deep dive!
🧵
To understand the data, we collaborated with our friends @graphext, the data analysis tool for visual thinkers
Now it's available to everyone👇
public.graphext.com/0c7677058967c0…
Let's deep dive!
🧵
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🚜 ¿Quieres saber donde la tendencias a ocurrir la siguiente manifestación de agricultores?
. Gracias a datos de la DGT y el proyecto público publicado por @Graphext,
Te invito a probarlo en el siguiente link: lnkd.in/dxXDTyWd
#ai #spain #dgt #manifestaciones
. Gracias a datos de la DGT y el proyecto público publicado por @Graphext,
Te invito a probarlo en el siguiente link: lnkd.in/dxXDTyWd
#ai #spain #dgt #manifestaciones
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Today we released a super cool feature to explore the @graphext graph: "Detail View". Here's a video I've recorded explaining how it works 👇
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Today, on Valentine's Day... remember what the data says, after 5 years in a relationship, make or break graphext.com/post/make-or-b…
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Moreover, we can see a dramatic "dent" in 2020, when COVID hit and most of the productions needed to stop.
But 2022 makes the most epic comeback with a historic maximum of around ~20K films made that year.
But 2022 makes the most epic comeback with a historic maximum of around ~20K films made that year.
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IDOL's Audience Development team tackles data challenges by integrating @graphext into their toolkit. Unlocking hidden insights, the platform simplifies analytics for strategic and marketing campaigns. Dive into the future of music analytics!
graphext.com/post/transform…
graphext.com/post/transform…
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