The Beasts of Mesozoic
Analisando todo o período Mesozóico, geologia, museus, formações, e muito mais. Devo continuar o desenvolvimento? Comente o que vc achou do relatório. #dinosaurs #mesozoic #paleontology eyJrIjoiYTExOWM1ZWUtMGZlNi00MTU2LTlmMDktMjEzZjU5MWRhYjNkIiwidCI6ImNmNzJlMmJkLTdhMmItNDc4My1iZGViLTM5ZDU3YjA3Zjc2ZiIsImMiOjR9EducaTV Portifólio
Portifólio de vídeos EducaTV Youtube Recomendamos visualizar pelo FireFox Visite nossos outros relatórios: https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Um-relat%C3%B3rio-de-testes-de-possibilidades/td-p/4832617 https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/DINOSAURS-REBOOT/m-p/4148138 https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/The-Beasts-of-Mesozoic/td-p/5128222 https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Global-Deaths-dual-language/td-p/4839470 eyJrIjoiYTU5YzZhZGYtZWJlYS00YzQ5LWI5YzMtMWYyNzE4ZmQ4OTcyIiwidCI6ImYxYjUwNGEzLWM3MDctNGMyOC05YmJmLWQ0ZTExOTQ0MDY4NyJ9&pageName=a8a9a3650029effc4c8dDINOSAURS! REBOOT
Just a visual reboot for the incredible DINOSAUR! report from Greg Deckler. Thanks again master Greg! I´ll do another one, ffrom zero, with the latest database from PBDB... More about it: https://www.behance.net/gallery/207791635/DINOSAURS-REBOOT eyJrIjoiOGZiNzE1NmQtODMxZC00ZDQwLTg2ZmQtOWQ4ZGVhMDE5Mzg2IiwidCI6ImNmNzJlMmJkLTdhMmItNDc4My1iZGViLTM5ZDU3YjA3Zjc2ZiIsImMiOjR9Global Deaths - dual language
30 Anos de Histórias, 202 Países, 1 Relatório: Acabei de finalizar meu novo projeto de Power BI sobre as Causas de Morte Globais (1990-2019), agora bilíngue! Este relatório não é apenas um dashboard; é uma análise profunda de 6.160 linhas de dados, construído para ser a ferramenta mais dinâmica e intuitiva possível para explorar a mortalidade mundial. O que você vai encontrar: ✅Visão de Longo Prazo: Explore a evolução das mortes e o crescimento populacional ao longo de 30 anos (1990-2019). ✅Métricas Chave: Analise o Total de Mortes, Taxa de Mortalidade, População, Crescimento Anual (YoY) e Densidade Demográfica por país e continente. ✅Análise Profunda: Dados categorizados em 31 causas e 7 grupos principais (DCNT, Lesões, Infecciosas, etc.). ✅Modelo Multi-Idioma: Built-in com a função USERCULTURE(), permitindo que o relatório se ajuste automaticamente ao formato de números e datas do usuário (pt-BR, en-US, etc.). Este projeto também foi um exercício em otimização de dados: usei Power Query para transformar e o DAX para criar as medidas dinâmicas, garantindo um arquivo Power BI o mais enxuto possível. Interessado em ver como a saúde global evoluiu nas últimas três décadas? #PowerBI #DataAnalysis #GlobalHealth #CausesOfDeath #DataViz #DAX #BusinessIntelligence eyJrIjoiYTAwOGE3MjUtYTI5OC00NTE3LWE4YTUtYzM1N2Y3NzkxMjhiIiwidCI6ImNmNzJlMmJkLTdhMmItNDc4My1iZGViLTM5ZDU3YjA3Zjc2ZiIsImMiOjR9Snake Game, Summer Edition ☀️
Are you ready for a Summer Challenge? ☀️ Collect all the items in the shortest amount of time! 🐍 While waiting for summer vacation and beach vibes, I armed myself with AI agents and tried building my first custom visual in Power BI: Snake Game, Summer Edition. ⚠️ It can get addictive Thank you to fj1 for the inspiration eyJrIjoiYTE2OWFiZjMtZGMyNC00OTI4LTllZjktZDBkNDRkYmIwYmJkIiwidCI6ImE0NTQ2OGUyLTgwNzUtNDNkMS1iMTZhLWIzZmY5Y2NkMzMzNiJ9&pageName=c3bb6a50bd1496ea8692
Spotify analytics
Spotify Music Analytics This interactive Power BI report, made with use of Claude design and inspired by works of PauloGrijo Gusbavia nayarahellen , and MariusHelle explores features of a large catalogue of Spotify tracks and what separates the songs people love from the ones they skip. Instead of a single dashboard, it's built as a guided experience across several connected pages, combining exploratory analysis and storytelling. What's inside: Overview — a landing page that surfaces the headline findings up front, with quick-read summary cards so you can see the main takeaways before diving deeper. Evolution of Sound — a chapter-based walkthrough of how the sound of popular music has shifted over the decades, with a narrative rail and supporting charts for each theme. Popularity Question — the analytical core: a "fingerprint" radar comparing the average popular track against the average unpopular one, a simple model view showing which features carry the most predictive weight, per-feature scatter plots, and breakdowns by genre and era. Listening Room — a fully filterable track explorer. Filter by genre, release year and audio-feature ranges. Make your own Hit! — an interactive tool where you set several feature levels to generate your own track. Note: for public demo purposes the tracks have been pre-generated using the Suno API. Key takeaways: Sound alone doesn't make a hit: a track's audio features explain only ~3% of its popularity — the rest is fame, marketing, playlists and timing. Music has drifted moodier and more produced. Over 60 years songs got less acoustic, more danceable, louder, shorter, and measurably less cheerful. Hits and flops sound almost the same. The audio "fingerprints" of popular and unpopular tracks nearly overlap. Data sources: - https://www.kaggle.com/datasets/jashanjeetsinghhh/songs-dataset - https://www.kaggle.com/datasets/salvatorerastelli/spotify-and-youtube Contact: Robert van de Vorst - https://www.linkedin.com/in/robertvandevorst/ eyJrIjoiZTI3NzNhNTgtMjBkMS00NTU2LThjN2EtZDM0NDAwYWNhZTQ2IiwidCI6Ijg5NzU5Zjk5LWQxNzEtNDZjMC04YzZjLWY3ZWNhYTJlOGI2ZSIsImMiOjh9Fantasy Premiere League Analytics Hub v3
Multi Seasonal Report to help Fantasy managers track player performance discover hidden gems and undervalued assets Main changes from previous version: Changed the pipeline from just python > powerbi to python >sql databae > powerbi' This was done to handle multi season analysi as the previous pipeline wasnt fit to do so Utilised bronze silver gold staging in sql More contextualised kpis Customiseable charts (parameters) Utilised HTML visuals for KPIs, Visuals (player explorrer page) and tooltips Star Schema Data Model eyJrIjoiMTVjMTdkMWEtZTQwOS00NDM0LTkxYTEtMjJmODY2ZDhmMTY0IiwidCI6ImQxMjA2OTQzLWJmY2MtNGM3NC04MmQ0LTA1ZTYzYTQzMzViZiJ9
