Power BI Design

Hello Power Bi lovers! Looking for new visualizations with #deneb Tutorial and resourses : https://lnkd.in/e-zfaiqh If you ever wanted to get more visualizations or create your own visualizations, here you go, Deneb is a Power Bi CustomVisual, with a difference, that it creates an environment between Power bi -Vega/Vega lite where it allows you to create your own visualizations. Some developers who have contributed to the community : 📊 Ben Ferry Kerry Kolosko Davide Bacci Enterprise DNA Thys van der Westhuizen Madison Giammaria Juan David Bohorquez Giraldo Shout out to Daniel Marsh-Patrick for making this possible 👏 Power bi link: https://lnkd.in/enSebcqQ #powerbi #powerbideveloper #visualization #dataanalytics #datascience #desing #deneb #graphs

No more Classic Donut Charts !!! Turorial en Power BI : https://lnkd.in/ep3evY8j #excel #powerbi #datascience #vizualization

Hello Power Bi community!! Tutorial: https://lnkd.in/eGFP77Q8 I'd like to share some ideas on how to create custom Visual with Power BI and Deneb. Oftentimes, the design capabilities of Power BI can be limiting, making it difficult to create unique and visually stunning charts. Fortunately, We now have Deneb (Power BI is better with Deneb) With this new knowledge, I am confident that you will be able to improve the quality and impact of your own reports and dashboards. Thank you, I hope you find this information useful. BTW , I Finally have my Repository 😅 : https://lnkd.in/ewHvuy_m Link Power Bi: https://lnkd.in/eYFMEuuc #powerbi #community #dataviz #deneb #datavisualization #dashboard #charts #businessintelligence #dataanalytics #excel

HR Dashboard with power BI :https://lnkd.in/gasmRhzR #deneb #powerbi #excel #datascience #dataanalytics #hr

Buscando ideas para tus Dashboard de Power BI : https://lnkd.in/eQAyFdtq #datascience #data #dashboard #powerbi #excel

¡Presentamos Elogim ILS Analytics! 📊 Lleva el análisis de datos y la gestión de tu biblioteca a otro nivel 📈 Con la nueva herramienta de Elogim podrás conectar el ILS de tu biblioteca a nuestro sistema de estadísticas, que te permite obtener indicadores para: 🔹 Planear el desarrollo de tu colección 🔹 Sustentar la gestión administrativa 🔹 Dar seguimiento a los requerimientos de calidad 🔹 Identificar necesidades de adquisición ¡Todo esto al alcance de tu mano con Elogim ILS Analytics! 🔗 Descubre más en www.elogim.com o contáctanos en [email protected] para más información. #ElogimILSAnalytics #Elogim #AnálisisDeDatos #GestiónDeBibliotecas #ILS #BibliotecasAcadémicas

Dashboard Financiero desde Cero : https://lnkd.in/efrmAtWU #Powerbi #datascience #dataanalyst #Finanzas #reporting

Do you agree ? It's just a meme hahha, learn Power BI Free :https://lnkd.in/e3a84SXv #powerbi #datascients #data #excel #tableau #dataanalysts

Which Visualization? When we start to think what is the best graph to show our analysis , it take us time to choose the right graph, Follow us on you tube : https://lnkd.in/gZs2mJzS Here you will find a bunch of helpful information #dataanalytics #analytics #PowerBI #vizualization #dataanalytics #designer #tableau #learning Image credit to twitter@SteveFranconeri

Hey hashtag #DataViz enthusiasts! Let's dive into the captivating world of color and its significance in data visualization. 🌈 Understand the Purpose: Define the purpose of your visualization. Are you highlighting trends, comparing categories, or emphasizing outliers? The purpose will guide your color choices. Choose the Right Color Palette: Select a color palette that suits your data and message. Consider factors like accessibility, contrast, and cultural associations. Tools like ColorBrewer and Adobe Color can help you find harmonious palettes. Use Color to Encode Data: Utilize color to encode quantitative or categorical data effectively. For quantitative data, use gradients or diverging schemes. For categorical data, employ distinct hues. Mindful Color Mapping: Ensure your color mapping aligns with the nature of your data. Avoid misleading visualizations by using intuitive color scales that accurately represent your data values. Maintain Accessibility: Design with accessibility in mind. Consider colorblindness and visual impairments by using color combinations with sufficient contrast and providing alternative ways to interpret the data, such as patterns or labels. Limit Color Variations: Too many colors can overwhelm the viewer and detract from the message. Limit your color palette to a few distinct hues to maintain clarity and focus. Emphasize Key Insights: Use color strategically to draw attention to important insights or trends within your data. Experiment with bold or contrasting colors to highlight key elements. Test and Iterate: Test your visualization with different color schemes and gather feedback. Iterate based on insights to refine your color choices and improve the effectiveness of your visualization. Remember, color is a powerful tool in data visualization, capable of enhancing understanding and engagement. By mastering color selection and application, you can create visually compelling and informative data visualizations that resonate with your audience. 🚀✨ #DataScience #Visualization #powerbi #excel #tableau