GitHub’s Post

Hello everyone, I 'm Excited to share my second Project#PowerBi devloper Intern at InternCareer. The dasetset called" Covid-19 " In this dataset i have 2020/2021 dataset to review data. The goal of this project is to create a comprehensive and informative dashboard INSIGHTS FROM THE DASHBOARD: The dashboard includes visualizations of the following: KPIs: Averege Vaccine dose by Female , Averege Vaccine dose by Male, Average total Vaccine dose, Deaths, and confirmed case . Cards: Vaccinated people by age group . stacked bar chart - Death by month Map- Average deaths by state. Donut chart - top 10 vaccinated states and other donut chart shows average death by states. line chart - show positive case by month. githhub - https://lnkd.in/d_hBunq9. https://lnkd.in/dPq3puhJ

There are so many new and exciting ways to really prove community ROI than the methods we’ve been using for so long. 🤑 Over the past decade, there have been so many great innovations in how we build and develop our communities. Yet our methods for measuring community ROI are trapped in the late 00s. 👎 These methods are often primitive, inaccurate and contain obvious flaws. The only reason they’re still in use is: → 1. They’re easy to calculate. They trade precision for simplicity. →2. They often show high ROI. The methods are often created by vendors who want to show the biggest possible ROI. But our methods to prove value shouldn’t rest on the audience being statistically illiterate. If your argument for community ROI crumbles when someone asks: >>>> “How do you know the community isn’t just attracting people who already spend/do more?” 🤔 <<<< Then you need a better method…. And thankfully there are so many to choose from! Today we have access to more tools and data than ever. We should be using this to find innovative, robust, techniques to prove our worth. Over the past few years, we’ve invested a huge amount of time, energy, and resources to do more to innovate here. We’ve gathered, analysed, and combined dozens of datasets - running into all the usual problems in the process. Over that time we’ve gradually built our approaches we believe are a LOT more robust than what’s often used today.  🚀 We’ve highlighted some of the common issues and solutions in this image. It’s meant to be illustrative more than comprehensive. It doesn’t cover all the goals or all the methods for measuring those goals (or problems with them). But it hopefully gives you a flavour of what’s possible here. → I suspect there is a direct relationship between the quality of your methods to prove community ROI and the level of support you receive. 🙏 If we want to be taken seriously, then we need to get serious about removing the common flaws in the current methods we’re using. The best thing about these approaches is it they don’t involve too much more work than you’re already investing. It just means tackling the common flaws with slightly more advanced techniques. ✅ No method will be 100% perfect, but there is a vast continuum of opportunity between perfection and the primitive efforts we’ve been stuck with for over a decade. If you like and enjoy the methods you’ve been using, then by all means stick with it, but if you want to upgrade your methods - drop us a line. Let’s develop a robust approach that really shows the value you’re creating. High-res version of the graphic in the usual place 👇 #community #communitymanagement #roi

Have you checked out our new blog post by Ben Hutton? Learn all about the JSON Schema Ambassadors Program and how you can get involved 👉 https://lnkd.in/dAiJugVC #JSONSchema #JSONSchemaAmbassadors

👋 Hello LinkedIn Community! 🌐 In the ever-evolving landscape of the internet, we've witnessed monumental shifts in how we interact with the digital world. From the foundational era of HTTP/1.1 to the groundbreaking innovations brought forth by HTTP/2 and beyond, the journey has been nothing short of extraordinary. 🌐 HTTP/1.1: Pioneering the Web HTTP/1.1, born in 1997, laid the groundwork for the interconnected digital realm we navigate today. It enabled seamless communication between clients and servers, marking a pivotal moment in internet history. Yet, with the web's rapid growth, challenges emerged, shaping the trajectory of its evolution. 🔗 Persistent Connections: A Paradigm Shift One of HTTP/1.1's significant advancements was the introduction of persistent connections, reducing the overhead of repeated connections, and enhancing efficiency. 🚀 Pipelining: A Quest for Efficiency Pipelining aimed to optimize request-response efficiency but faced practical challenges, particularly in resolving performance limitations as web content expanded. ⚠️ Limitations and Latency Woes The burgeoning multimedia content posed challenges to HTTP/1.1, especially in coping with increasing data demands and latency issues. 🛠️ Mitigations: Coping Strategies Various strategies emerged, including pipelining, domain sharding, and resource optimization, to address latency concerns and enhance protocol performance. 🚀 The Rise of HTTP/2: A Game-Changer Enter HTTP/2 in 2015, a transformative force revolutionizing the web experience. Its innovations reshaped how we navigate the digital landscape. 🎯 Multiplexing: Managing multiple requests within a single TCP connection, HTTP/2 resolved bottlenecks and elevated browsing experiences. 🌐 Stream Prioritization: Orchestrating asset loading sequences optimized page rendering, enhancing user experiences. 💡 Server Push: Proactively delivering resources heralded faster page loads, a testament to HTTP/2's visionary approach to content delivery. 🚀 Binary Framing Layer & Compression: The shift to binary encoding and innovative compression via HPACK empowered faster data transfers, marking a paradigm shift in web protocols. 🌟 The Glimpse of Tomorrow: HTTP/3 Beckons 💡 As the torchbearer of internet evolution, HTTP/3 is poised to tackle the residual challenges. Its arsenal boasts advancements like QUIC (Quick UDP Internet Connections), promising to revolutionize how data traverses the web. Let's embrace the evolution of the web, understanding its past to navigate the future. Also Thanks to Saurabh Dashora for creating the Amazing and detailed Article on http1.1 and http2.0 ,follow him to check more about it Check this Article for further read:https://lnkd.in/gwpfiphr

NextJS Add RSS Feed to Blog Every blog can benefit from adding an RSS feed, it allows users to subscribe to your blog and get updates when you publi...... https://lnkd.in/gmzMpgDm

GITHUB LINK:- https://lnkd.in/gJXmvBT2 "Delighted to unveil the results of an in-depth Exploratory Data Analysis (EDA) journey on healthcare data! 🌐🏥 After months of exploration and analysis, the patterns, trends, and hidden gems within the data have come to light. 🧐💡 From identifying correlations between certain treatments and patient responses to uncovering demographic nuances that influence healthcare accessibility, this EDA project has provided valuable insights for decision-makers in the healthcare domain. 🚀💊 The journey wasn't without its challenges, but the knowledge gained and the potential for positive impact make it all worthwhile. Excited to continue the conversation and collaborate with fellow professionals in the healthcare and data analysis communities. 🤝 Let's harness the power of data driven innovations. 🌟💙 #HealthcareAnalytics #DataScience #EDA #DataAnalysis #DataDrivenDecisions"

OpenStreetMap's cost-effectiveness, global coverage & rich content make it a valuable resource for #LocationIntelligence. Want to learn more? Here's our ultimate guide on using OSM in #BigQuery 👉 https://hubs.ly/Q028Y3Gq0

Make a difference in your community by volunteering your time and skills! Not only does it benefit others, but research shows it can also boost your happiness, improve your health, and enhance your sense of purpose. Learn more here: https://sbhc.tech/3yD2AWK

📊 Unveiling Insights from COVID-19 Data Analysis using R! 🚀 Hey LinkedIn Community! 👋 I'm excited to share a fascinating project where I delved into COVID-19 data using R programming language to validate two common claims surrounding the pandemic: the age disparity between survivors and deceased individuals, and the impact of gender on mortality rates. 🦠💻 Here's a brief overview of my findings: 1️⃣ Age Disparity Analysis: Through rigorous statistical analysis, I examined whether there's a significant age difference between individuals who survived COVID-19 and those who unfortunately succumbed to the virus. By comparing the age distributions of survivors and deceased individuals, I aimed to shed light on this claim. 2️⃣ Gender-Based Mortality Analysis: Another claim under scrutiny was the notion that gender has no effect on COVID-19 mortality rates. Leveraging the power of R, I explored the relationship between gender and mortality, seeking to validate or refute this hypothesis through data-driven insights. Here are some key takeaways from the analysis: 🔍 Age Disparity: Contrary to the claim, the analysis revealed a notable trend: individuals who succumbed to COVID-19 tended to be older on average compared to survivors. This insight underscores the disproportionate impact of the virus on older populations, highlighting the importance of targeted interventions and protective measures for vulnerable age groups. 🚹🚺 Gender-Based Mortality: Interestingly, the data analysis indicated that gender does play a role in COVID-19 mortality rates. While both males and females are susceptible to the virus, there was a discernible difference in mortality rates between genders. Further exploration into the underlying factors driving this disparity could provide valuable insights for public health interventions and policies. By leveraging data analytics and statistical methods, we can gain deeper insights into the dynamics of the pandemic and inform evidence-based decision-making. I'm passionate about leveraging technology and data-driven approaches to address pressing challenges like COVID-19, and I'm eager to continue exploring innovative solutions in this space. Check out the code and details of this project on my GitHub: https://lnkd.in/diNZCUu5 Let's keep the conversation going! What other claims or hypotheses would you like to see explored using COVID-19 data? Share your thoughts and let's collaborate to uncover actionable insights! 💡💬 #DataAnalytics #COVID19 #RProgramming #StatisticalAnalysis #PublicHealth #TechInnovation

Dear followers, Are you enjoying the snippets I share here on LinkedIn? If so, you'll love the main newsletter even more, where you can find extra content like: - latest news (here I post only a couple of them) - postmortems from big tech companies (they fail too) - all sorts of interesting GitHub repositories (from your new terminal experience to yet another cutting-edge database made by a single guy in Tokyo) - and always more. You can easily start your day with tech and science news and updates, all designed to fit into your morning routine in just 10-15 minutes (whether it's your morning coffee or toilet visit). If you haven't subscribed yet, now is the perfect time to join the community. Give it a try, subscribe here: http://0xcafe.news And don't worry, you can unsubscribe anytime if it's not for you. Stay informed, stay ahead! Best regards, Basil