Ryan Hutchinson

This 1 chart will make people WAY more likely to check out your viz (even if it isn't best practice). Let me know in the comments what your stakeholders think about them?

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For current or aspiring independent data consultants, are you struggling to grow your practice? Would $1M+ in revenue in 12 months be compelling? I'm considering putting together a course on how I did just that. DM me if this would be of value.

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Choose the chart that best conveys your message. Ask yourself...what do I want to show? - Composition charts display parts of a whole and/or how they change over time. - Comparison charts show similarities and differences between data points. - Relationship charts highlight correlations between two or more variables. - Distribution charts show data spread and how often they occur. Remember, a simple chart almost always works better. Here's a chart guide from Infogram to get you started.

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Today's Boring Biz (# 115): 30+ Year Animal Veterinary Clinic - $225K Cashflow - New Hampshire Seller Listed Structure - $830K Revenue - $225K Cashflow - $550K Ask Price - 2.4x Cashflow Multiple What does the company do? 1. Veterinary services provider 2. Wellness checks and preventive care 3. Emergency and urgent care Investment highlights 1. Established in 1993 2. Seller is retiring 3. Consistent profitability Investment risks/concerns 1. "Home-based" / Relocatable? 2. Regulatory compliance challenges 3. Competition from corporate chains Why: How to buy a small business? How to buy business with a SBA Loan? Note: Not our listing, highlighting this business for informational purposes only. For those who are looking to buy a first small business or better understand high-level math/ framework of how to analyze a small business for sale. #SMB #ETA #finance #Cashflow #investing #search #searchfund #privateequity #microprivateequity #smallbusiness #venturecapital #vc #entrepreneur #business #businessowner #animal #veterinary #clinic #newhampshire Disclaimer: Hypothetical and illustrative only. Please do your own research (DYOR) or work with tax and legal professionals before making a decision. This video are intended for informational purposes only and does not constitute legal or tax advice, nor should be construed as an offer to sell, a solicitation of an offer to buy, or a recommendation for any security by SMB PE LLC or any third party.

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I write tutorials every day to help you learn Tableau. Less than 2% of you use them. They're great for reference, but not as useful as they would be if you practiced. Take the content I give you and rebuild each chart or tutorial. Put in the reps. You'll improve dramatically. NOTE: Less than 2% is a guess, but I'm fairly sure it's accurate given the comments and DMs I get.

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To all teachers, Instructors, TAs, Professors, and the like... A magical 🪄 package 📦 to help your students get a taste of real world data analysis, {messy}. I think back to all the years working as a data manager and on-boarding new hires, they always got tripped up in the early stages assuming the data was structured properly, no missing values, numeric fields were character type, manually entered data with misspelled types of categorical variables, and so on. Nicola Rennie has found an elegant way to introduce some of that realism in your students' projects. Now go forth and give them fits on their next data project 🤣 #data #R #rstats #analytics

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here is propral for anyone want to invest in the company to be the first in world to build this. can call me at 9164130993 My name is Zachary Keys I am the owner of new start-up company called ZWK WRITING LLC. We are looking for investors to help build something the world has never seen before. For military use and citizen use, no country has been able to develop it. We would love to be the first in the world to do it. It would bring new a game to the battlefield and other fields in human history.  The defense landscape is evolving rapidly, with new threats and challenges requiring innovative solutions. [Your Company Name] proposes to develop a Titan-like mech prototype—an advanced, human-operated robotic platform designed to provide unparalleled mobility, strength, and versatility on the battlefield. The Titan-like mech will be capable of performing a range of military operations, from direct combat engagement to heavy lifting and rapid deployment in complex environments. This prototype will serve as a proof of concept for future combat vehicles, showcasing the potential of large-scale robotic platforms to redefine modern warfare. We seek a strategic investment of $[1 million to fund the initial development phase, which includes research, design, and the creation of a minimum viable prototype (MVP). In return, [Military Contractor/Investor Name] will gain early access to groundbreaking technology, with potential applications in both defense and civilian sectors. ________________________________________

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This may be controversial. Building products is easy, naming products is hard! You find a name, great! Now find a domain that works... it's been 2 months of trying to find a name for something I have been working on that fits the vision, offering, and goals of the project. I finally found a domain this morning, now to connect everything together. #startup #branding #startuplife

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During office hours with Adam Riley this week, we discussed the challenge of reading Excel files that have multi-row headers. These files come in their own varieties, but we can start with a simple 2-row example. If you've got 3.5 minutes and the desire to see something magical (using Enso), you can watch the transformation take place before your eyes. #DataAnalytics #Excel #DataTransformation #OfficeHours #Enso #DataScience #TechTips #ExcelTips #Automation #DataProcessing https://lnkd.in/g7r7xmqN

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"Data has a massive credibility problem. You owned the P&L of a $100MM data business, you need to put that front and center so people know you've actually done something real and aren't full of shit. There are countless 'Data & AI Experts' out there who don't actually know anything." There was a very popular post yesterday from Vin Vashishta about how too many people put "Ex-Company" on their profiles, and should stop living in the past. Since my profile has "ex Nielsen P&L owner | ex unicorn SaaS VP of Data" I thought I'd provide some perspective from the other side. The advice at the top of this post was given to me by a fellow data founder when I first started posting online. Since then, for those that have followed me, I hope my content has made it clear that I've spent many years in the trenches actually doing things with data. But when people first look at my profile - knowing that I owned the P&L of a data business at Nielsen and that I was a VP of data at a unicorn startup gives me WAY more credibility than the generic "Data Leader" headline I had before. So if you see credibility as one of the most important things you need to quickly convey - pointing to the fact that you worked at highly credible companies is a good way to do that. Yes it's only one signal... There are a lot of idiots that work at all these great companies, and having a job doesn't mean you were actually good at it. But it's far less likely you're a complete fraud.

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Want to know something about the data Treasury use? - There's *ALOT* of it. Nerd-out incoming, of novel LLM functionality we're starting to explore. One of the cooler things we're working on is how to best help policy professionals take advantage of Generative AI. We've already built an architecture that let's Policy teams upload documents, index those explore different ways to more effectively search and retrieve intelligence. It's practically old hat now - and the RAG space is developing all the time. But we're sat atop a lot of quickly arriving intelligence, and now it's all indexed ready to be used by the LLM, the next question is how can we help teams benefit from a shared intelligence, to help signpost intel that team a that team b could benefit from. Sure, teams talk - but is there an opportunity to be even better? Enter... the KRAKEN! (not the real name). We're building a fetcher of fetchers, an LLM powered pipeline that builds mesh of metadata, facts, concepts and entities from documents indexed that day. It records facts gleaned from documents, then tracks those in future documents, allowing us to specifically look for things we care about, and observe new concepts or entities emerge over time. We think that that this will both help us ground specific LLM experiences, as well as form a foundation of an organisational central intelligence pool, and we'll keep you posted on how it's going. LLMs prove a really interesting dimension to generating structured data and I like sharing where we're looking to exploit tools to benefit. Keen to hear from others working in a similar space? Peace out - have a great weekend! #generativeai #centralgov #hmtreasury #llm #rag #data #pipelines

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Imagine you owned the business instead of worked in it as a data person. Would you choose yourself to be an advisor on important decisions? If your answer is "If I owned this business, I would be really lucky to have someone just like me as a data person helping everyone make important decisions." Great. If not... Whatever gap you see in yourself, that's where you should focus on getting better. p.s. if you're looking for opportunities to develop on the business side of data work, check out Top Data People!

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For most data people - the best side hustle is getting better at your actual job. It takes a lot of effort, time, and expense to go from zero to $1k/month with some random side business... If instead you focus on being a superstar at your data job you would have a much clearer path to WAY more than $1k extra per month. Not to mention the risks! That side hustle might hurt you at your day job. You might succeed at your side gig and get to $1k/month but lose the $30k promotion - or lose your job entirely! But Solomon, don't you post on LinkedIn and don't you have a long history of doing side projects? I never posted on LinkedIn until I started a company where part of my job became marketing my product to data people. I would never have survived the tough times that happen as a data leader if all the business executives at my company saw me posting on LinkedIn while they had major issues going on. This is why VERY few data leaders in companies are out trying to "build their personal brands" on LinkedIn. It's a non-starter politically. If Delivery Layer got acquired and I found myself in a CDO role vs. a marketing role, my LinkedIn activity would be substantially different. I also did side projects, but never side hustles! The projects were to build my skills for my main job. I wasn't out trying to make money from any of them. Many of the projects were supporting my company's brand by doing things like open sourcing projects that were useful for work etc... I also only did those projects when working at companies that encouraged side projects. For many years I did no side projects because I was not at a company where the culture celebrated side projects. If you were in a dead-end career with no growth prospects, I'd give very different advice. But great data people have amazing career opportunities if you become a superstar at your job. Sacrificing that future for your side hustle doesn't seem worth it.

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Hot Take : Being investor is more frustrating than being founder. Here's why : • 9/10 picks decks you get are trash • Most excels you get lack logic • Founders think you’re evil Here’s what it looks like for the team : • You’re always stuck making sense of messy data • You're on 100 deadlines at any given time • LPs think you’re not working hard But nobody ever thinks : ▶ “They're just doing their job” ▶ “We should make their job easier” ▶ “It’s fine if we’re not a good fit” I understand how founders feel, I’m a founder too. But I’ve been on investor side, and I can tell : They’re suffering in silence. Don’t take your frustration on investors. Don’t take things personal. Everybody is doing their job. Be kind, Be helpful, Be respectful, What else you dislike in being investor ? Comment or DM your take. ____ ⌛ Hi - I'm Amine. 🏛️ Ex. Investment Banking & Venture Capital Associate. 🪙 I'm building an open club to invest in private businesses.

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🤔 How many times have you reinvented the wheel in Tableau?   I thought the radial jittering in my IronViz qualifier was pretty cool.   But it looks like my IronViz mentor, Samuel Parsons, had done the same thing 5 years prior.   At least I settled on the same chart name as he did, so that's what it is - a radial jitter.   These are good for infographics showing a distribution that concentrates around a central point.   📝 In the near future, I hope to make a simple dashboard showing three variations of this chart type, including evenly distributed dots as well as dots on the periphery.   In this #makeovermonday case, I thought the idea of concentrated dots meshed well with firearms - I got the idea from seeing the bee swarms by Shangruff Raina and Sherzodbek I.   Anyhow, I adjusted the worksheet size so that the output is slightly elliptical to fit well in the target image.   ⚖️ I thought I'd go down the route of comparison to domestic purchases because I knew those numbers were high. They've been higher than 2022, but I used that year because it was the last year of the other range and I wanted something semi-current.   🏗→🧠 Build to Learn!   💭🚶‍♀️🚶‍♂️ Follow for more.   #makeovermonday #tableau #data #analytics #VizoftheRay

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🤔 How many times have you reinvented the wheel in Tableau?   🦚 I thought the radial jittering in my IronViz qualifier was pretty cool.   😲 But it looks like my IronViz mentor, Samuel Parsons, had done the same thing 5 years prior.   🤷 At least I settled on the same chart name as he did, so that's what it is - a radial jitter.   These are good for infographics showing a distribution that concentrates around a central point.   🛠️ I made another simple dashboard showing three variations of this chart type, including evenly distributed dots as well as dots on the periphery.   In this makeovermonday case, I thought the idea of concentrated dots meshed well with firearms - I got the idea from seeing the bee swarms by Shangruff Raina and Sherzodbek Ibragimov.   Anyhow, I adjusted the worksheet size so that the output is slightly elliptical to fit well in the target image.   ⚖️ I thought I'd go down the route of comparison to domestic purchases because I knew those numbers were high. They've been higher in the past than in 2022, but I used that year because it was the last year of the other range and I wanted something semi-current.   🏈 This is a Throwback Thursday viz!   🏗→🧠 Build to Learn!   💭🚶‍♀️🚶‍♂️ Follow for more.   #tableau #data #analytics #VizoftheRay

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US south markets remain the best microcosm for the strong apartment demand being eclipsed by even more remarkable supply storyline. A few Texas and Florida markets in particular seeing more downwards pressure on performance than this same time last year, but worth noting that some sub-regional bifurcation is beginning to show (i.e., some markets marching back towards supply/demand equilibrium while others likely another 12+ months out from achieving this).

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