Michael Teixeira’s Post

📦 Boxplots: Simplicity and Power in Data Exploration 📊 When it comes to quickly understanding the distribution and variability of data, box and whisker plots, or boxplots, are one of the most useful and versatile tools in data analysis. 💡 What is a boxplot?  A boxplot is a visual representation that summarizes the distribution of a dataset using five key statistics:  - Minimum: The lowest value (excluding outliers).   - First quartile (Q1): The value separating the lower 25% of the data.   - Median (Q2): The midpoint of the data, dividing the distribution into two equal parts.   - Third quartile (Q3): The value separating the upper 25% of the data.   - Maximum: The highest value (excluding outliers).  Additionally, it includes whiskers that show the range of the main data and highlights outliers (unexpected extreme values). 🔍 Why is it useful?  - Outlier identification: Detects extreme values that may require special attention.   - Category comparison: Evaluates differences between groups (e.g., material strength across different soil types).   - Quick variability summary: Visualizes how data is distributed and how spread out it is.  👷♂️ How is it applied in civil engineering?  In civil engineering projects, boxplots are ideal for:   - Analyzing lab test results, such as density, compressibility, or strength.   - Comparing variability in soil properties based on location or depth.   - Evaluating the performance of different construction methods or materials.  ✨ Simplicity that adds value  With their ability to summarize complex data in a compact visual, boxplots not only help engineers explore data but also facilitate communication of results to interdisciplinary teams.  📦 Do you already use boxplots in your analysis? Tell us how you apply them or if you need help integrating them into your projects! 💬 #DataAnalysis #Boxplots #DataVisualization #CivilEngineering #DataExploration #Outliers #Statistics #EngineeringTools

Last week, I had the opportunity to attend Advancing Preconstruction in Denver. It was great to interface with our current customers and speak to several construction industry specialists. I'm not much of a LinkedIn activist. I’m really not much of a social media activist whatsoever. This may be due to Facebook Memories reminding me of how cringey I was as a 14-year-old. However, I was compelled to share one major takeaway I had from that event: Structured Precon Data. To me, this is the most important gain organizations are set to receive that will enable them to fully embrace and maximize the advancements in construction technology. The market is flooded with shiny objects. I'm not here to dissuade anyone from seeking those out; we boast a few of our own. But for several of these next-gen precon technologies, the prerequisite is Structured Precon Data. If the underlying data isn’t formatted and filterable, it’s nearly impossible to analyze the micro-trends within your organization and industry. It also provides no context for why the macro-trends are what they are. If the data capture isn't automated, it becomes a burden to the teams mining the data. And let's be honest, I don't know anyone who's sitting around killing time in the construction industry. Structured Precon Data is the achieved goal produced from estimating as a role. The path that many GCs are taking starts with centralizing day-to-day estimating responsibilities into a preconstruction platform. This provides estimators with the functionality to do their job more effectively while automating the data capture. I'd love to hear your thoughts in the comments. Do you agree?

REAL TALK: Your geotechnical engineers are drowning in spreadsheets 😫 Here's a wild stat: Engineers spend 40% of their time processing data instead of, you know, actually engineering stuff. Think about that. Your most expensive talent is stuck doing manual data entry instead of:  Catching potential foundation issues  Preventing costly construction delays  Making sure buildings don't sink into the ground (Yeah, that last one's kind of important) But here's where it gets interesting... We were chatting with Sarah, a senior geotech engineer at a large engineering company, who told us something fascinating: "We had this massive hospital project. Traditional data processing would've taken 3 weeks. With Geo-data Intelligence, we did it in 2 DAYS. My team actually had time to identify a soil stability issue that could've cost millions to fix later.“ 🤔 This got us thinking... What if geotechnical firms could:  Cut data processing time by 70%  Free up engineers to do actual engineering  Spot problems before they become disasters Turns out, they can. Smart companies are using Geo-data Intelligence to automate the boring stuff. The result? Engineers get back to engineering. Projects stay on schedule. Everyone sleeps better at night. Wild, right? Here's the thing though - this isn't about fancy tech. It's about letting brilliant engineers be brilliant. The real question is: How much longer can you afford to have your best talent stuck in Excel hell? Think about it. #RealTalk #EngineeringTruths #NoMoreSpreadsheetNightmares #GeodataIntelligence

Data might seem dry - but it’s the difference between guessing and getting it right 📊💡 When you’re managing a construction project, precision is everything. You need to know the materials you’re using won’t just fit - they’ll perform. That’s where datasheets come in. It’s not just a list of numbers and measurements. It’s the key to making informed, confident decisions, and the difference between delays and success. We’ve packed our datasheet with the kind of details that make your job easier, from codes and standards to tolerances and design life. It's a resource that’s designed for you - because we understand the information you need to be able to do your job. Here’s why our datasheet is more than just a technical document: Clarity: No jargon, no confusion. You’ll get clear, relevant data. Confidence: You're able to check if our walls meet your project’s needs. Speed: With everything laid out, you can cut down on decision-making time. We don’t just make precast products—we make sure you’ve got everything you need to make the best decision for your site. Download the datasheet now 👉 https://ow.ly/lPRe50TuaLZ #PrecastSolutions #BuildingBetter #PrecisionMatters #ConstructionSuccess #JPConcrete

REAL TALK: Your geotechnical engineers are drowning in spreadsheets 😫 Here's a wild stat: Engineers spend 40% of their time processing data instead of, you know, actually engineering stuff. Think about that. Your most expensive talent is stuck doing manual data entry instead of:  Catching potential foundation issues  Preventing costly construction delays  Making sure buildings don't sink into the ground (Yeah, that last one's kind of important) But here's where it gets interesting... We were chatting with Sarah, a senior geotech engineer at a large engineering company, who told us something fascinating: "We had this massive hospital project. Traditional data processing would've taken 3 weeks. With Geo-data Intelligence, we did it in 2 DAYS. My team actually had time to identify a soil stability issue that could've cost millions to fix later.“ 🤔 This got us thinking... What if geotechnical firms could:  Cut data processing time by 70%  Free up engineers to do actual engineering  Spot problems before they become disasters Turns out, they can. Smart companies are using Geo-data Intelligence to automate the boring stuff. The result? Engineers get back to engineering. Projects stay on schedule. Everyone sleeps better at night. Wild, right? Here's the thing though - this isn't about fancy tech. It's about letting brilliant engineers be brilliant. The real question is: How much longer can you afford to have your best talent stuck in Excel hell? Think about it. #RealTalk #EngineeringTruths #NoMoreSpreadsheetNightmares #GeodataIntelligence

REAL TALK: Your geotechnical engineers are drowning in spreadsheets 😫 Here's a wild stat: Engineers spend 40% of their time processing data instead of, you know, actually engineering stuff. Think about that. Your most expensive talent is stuck doing manual data entry instead of:  Catching potential foundation issues  Preventing costly construction delays  Making sure buildings don't sink into the ground (Yeah, that last one's kind of important) But here's where it gets interesting... We were chatting with Sarah, a senior geotech engineer at a large engineering company, who told us something fascinating: "We had this massive hospital project. Traditional data processing would've taken 3 weeks. With Geo-data Intelligence, we did it in 2 DAYS. My team actually had time to identify a soil stability issue that could've cost millions to fix later.“ 🤔 This got us thinking... What if geotechnical firms could:  Cut data processing time by 70%  Free up engineers to do actual engineering  Spot problems before they become disasters Turns out, they can. Smart companies are using Geo-data Intelligence to automate the boring stuff. The result? Engineers get back to engineering. Projects stay on schedule. Everyone sleeps better at night. Wild, right? Here's the thing though - this isn't about fancy tech. It's about letting brilliant engineers be brilliant. The real question is: How much longer can you afford to have your best talent stuck in Excel hell? Think about it. #RealTalk #EngineeringTruths #NoMoreSpreadsheetNightmares #GeodataIntelligence

REAL TALK: Your geotechnical engineers are drowning in spreadsheets 😫 Here's a wild stat: Engineers spend 40% of their time processing data instead of, you know, actually engineering stuff. Think about that. Your most expensive talent is stuck doing manual data entry instead of:  Catching potential foundation issues  Preventing costly construction delays  Making sure buildings don't sink into the ground (Yeah, that last one's kind of important) But here's where it gets interesting... We were chatting with Sarah, a senior geotech engineer at a large engineering company, who told us something fascinating: "We had this massive hospital project. Traditional data processing would've taken 3 weeks. With Geo-data Intelligence, we did it in 2 DAYS. My team actually had time to identify a soil stability issue that could've cost millions to fix later.“ 🤔 This got us thinking... What if geotechnical firms could:  Cut data processing time by 70%  Free up engineers to do actual engineering  Spot problems before they become disasters Turns out, they can. Smart companies are using Geo-data Intelligence to automate the boring stuff. The result? Engineers get back to engineering. Projects stay on schedule. Everyone sleeps better at night. Wild, right? Here's the thing though - this isn't about fancy tech. It's about letting brilliant engineers be brilliant. The real question is: How much longer can you afford to have your best talent stuck in Excel hell? Think about it. #RealTalk #EngineeringTruths #NoMoreSpreadsheetNightmares #GeodataIntelligence

🎉 Just wrapped up the 12d Model 15 Fundamentals course with the Civil & Surveying Institute! This free, self-paced course was a great intro to 12d Model, covering the basics on navigating the software, creating data, and setting up projects. Learned a ton, from setting up new projects and using the workspace tools to creating surfaces and analyzing them in different views. Plus, there were quizzes along the way to make sure everything stuck! If anyone’s interested, check out the course and other options here: https://lnkd.in/gm9gqiVG #12dModel #CivilEngineering #Learning #Surveying

How does a civil engineer with a knack for problem-solving end up creating a GIS tool so innovative it left specialists in awe? Discover how Clay Cundiff leveraged data, creativity, a love for technology, and over 4,000 hours of refining to build a transformative site-selection model. Read our newest article for a look into how this data leader turned vision into impact. #DataForward #DataLeadership https://lnkd.in/g6QzefXm

Building information modelling