> Calls you vengeful on aggregate > you proceed to be vengeful ???

🚨 ✅ Tableau Calculated Fields What are Calculated Fields? Custom formulas you create in Tableau to do calculations beyond default aggregations. Think: Excel formulas inside Tableau. Why use them? 1. Create new metrics like Profit Margin, YoY Growth 2. Categorize data: High/Medium/Low sales 3. Date math: Days between orders, fiscal periods 4. Conditional logic: IF/THEN/ELSE rules Basic Syntax `IF [Sales] > 10000 THEN "High" ELSE "Low" END` `[Profit] / [Sales]` → Profit Ratio `DATEDIFF('day', [Order Date], [Ship Date])` Key Functions Logical: IF, IIF, CASE Math: ROUND, ABS, SQRT Date: YEAR, MONTH, DATEDIFF String: LEFT, RIGHT, CONTAINS Pro Tips 1. Calculated fields compute row-level or aggregate depending on formula 2. Use `ATTR()` to avoid aggregation errors 3. Name fields clearly: `Profit Margin %` not `Calc1` 4. Test with a few rows before using in dashboards 💬 Tap ❤️ for more!

Ok I’ll let you know when I get in touch with the president of Spotify and discuss with their data team 💀 All these stat accounts and sites such as Kworb aggregate data directly from Spotify. These aren’t estimates or guesses.

Bitcoin demand just entered one of its weakest phases in years 📉 According to CryptoQuant, aggregate BTC demand across spot perpetual futures dropped by nearly 650K BTC over the past 30 days — a level seen only a few times since 2019. Spot demand and derivatives activity are both cooling: → weaker liquidity absorption → lower speculative momentum → rising risk of volatility & consolidation The market is now driven more by liquidity, leverage, and positioning than narratives alone.

I think there is a tendency to characterize the latter reaction as if it was the former, especially when it leads, in aggregate, to an overall dissatisfaction with the relationship, as if he is some sort of animal that needs to be tamed, because he expects to have sex.

I think there is a way to say that there are certain attributes that groups share in aggregate without applying those ideas to individuals within that group. Giving CT the premise of the social construct is a a dangerous step towards them that we needn't make.

After much interaction on X, I’ve concluded that Indians (collectively and in aggregate) have sold their souls to the devil. Humanity has left their hearts.

OSWAL PUMPS: CO HAS RECEIVED 3 LOA'S FROM NBPDCL AND SBPDCL UNDER THE CAPEX PLUS RESCO MODE UTILITY FOR SETTING UP A CUMULATIVE CAPACITY OF 63 MW OF GRID-CONNECTED ROOFTOP SOLAR PROJECTS. THE AGGREGATE INSTALLATION ORDER VALUE IS APPROXIMATELY RS. 247 CR, WITH AN ADDITIONAL LONG-TERM REVENUE POTENTIAL OF APPROXIMATELY RS. 257 CR OVER A 10-YEAR

If economics had retained the classical pre-Keynesian understanding of Say's Law, this fallacy of aggregate job destruction would be less prevalent. Supply is what is enables demand for other goods and services (you need to sell a good or service in order to have the means to demand others with the proceeds). If a company can radically increase its revenue per employee with AI... the natural thing to do with that new margin is EXPAND. Otherwise, you're leaving money on the table. Duh.

What happened to the narrative that "migrants in aggregate want far more migrants"? Was that ever true?

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OSWAL PUMPS: CO HAS RECEIVED 3 LOA'S FROM NBPDCL AND SBPDCL UNDER THE CAPEX PLUS RESCO MODE UTILITY FOR SETTING UP A CUMULATIVE CAPACITY OF 63 MW OF GRID-CONNECTED ROOFTOP SOLAR PROJECTS. THE AGGREGATE INSTALLATION ORDER VALUE IS APPROXIMATELY RS. 247 CR, WITH AN ADDITIONAL LONG-TERM REVENUE POTENTIAL OF APPROXIMATELY RS. 257 CR OVER A 10-YEAR

𝗠𝗔𝗧𝗖𝗛𝗗𝗔𝗬 It's all to play for in this high-stakes clash as both teams are tied on aggregate! Who will book their spot in the FIFA Intercontinental Playoffs tonight? #IRQvUAE

The DOJ’s latest National Health Care Fraud sweep boasts massive statistics: 193 defendants and $2.75 billion in false claims. But behind the aggregate numbers are independent clinicians caught in a data-driven dragnet. When data analytics tools match a clinician's signature to a corporate-level scheme they never saw or controlled, frontline providers become headline numbers. Read how federal sweeps turn independent healthcare contractors into legal scapegoats: open.substack.com/pub/eagles… @TheJusticeDept @WhiteHouse @POTUS @FAMM_Now @TheInnocence @glennkirschner2 @AANP_News @ANANursingWorld @TheSentenceProj @HHS_OIG

Microsoft CEO Satya Nadella published a long post on X on Sunday making a sharp architectural claim. The long-term success of the AI economy will depend less on individual frontier models and more on the ecosystems that organizations build around them. A frontier model without an integrated ecosystem, he said, is inherently unstable. The resilience of an organization will come from the learning system it owns rather than from dependence on any one model. Nadella named the architecture. He called it the "learning loop," a system in which human knowledge and AI capabilities continuously reinforce one another. He called the proprietary feedback mechanism a "hill climbing machine." He called the private evaluation framework that drives it the new intellectual property. The eval suite, in other words, is the product. The model is interchangeable. The framing matches what we are building here. A server, a vault, a memory system, and an LLM that changes underneath. The LLM is the model. The vault is the token capital. The memory is the hill climbing machine. The whole thing is a learning loop. The value is not in the model, it is in the system that runs the model. The model can change. The system stays. Nadella split the architecture into two kinds of capital. Human capital is the expertise, judgement, relationships, creativity, and pattern recognition of the people doing the work. Token capital is the AI capability the organization develops and owns. The companies that own their token capital own the value. The companies that rent it from a frontier model are ceding value to whoever owns the model. The London finance analyst story is the same architecture at the labor layer. Banks are shrinking analyst classes while simultaneously recruiting talent with AI expertise. The 80 analyst openings left in London are not the same openings as the 350 four years ago. The cuts and the growth are not symmetrical. The pipeline that trains graduates with finance degrees is shrinking. The pipeline that trains graduates with computer science degrees is growing. They are not same pipeline. The political risk Nadella flagged is the same risk. He compared AI concentration to the first wave of globalization, saying that outsourcing improved aggregate economic indicators but hollowed out industrial ecosystems and led to lasting social and political consequences. The last thing any of us want, he wrote, is a world where every company across every sector is ceding value to a few models that eat everything they see. The same warning shows up in the labor data, in the productivity illusion, and in the AGI rhetoric. The architecture that is good at the verifiable output is also the architecture that concentrates value. Nadella's framing is the most concise statement of the architectural read we have seen from a frontier lab CEO. The model is commodity. The eval suite is the moat. The learning loop is the compounding advantage. The companies that build their own hill climbing machine own the next decade. The companies that rent a frontier model and call it a strategy do not.

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OSWAL PUMPS WINS ₹247 CR SOLAR ORDERS UNDER PM SURYA GHAR ☀️⚡ • 🏗️ Company secured 63 MW rooftop solar project orders from NBPDCL and SBPDCL in Bihar • 💰 Aggregate installation order value stands at approximately ₹247 crore • 📈 Projects carry additional long-term revenue potential of around ₹257 crore over 10 years under the RESCO model • 🏠 Orders cover 57,492 consumer installations across Motihari, Saharsa and Ara circles • ⏳ Projects are to be commissioned within 9 months, with 10-year operations & maintenance contracts