Ever wondered what a CoxComb Chart is or how to create one? In my latest blog post, I explain how to read CoxComb Charts and how you can make your own version in Tableau. I've adapted a stunning template shared by CJ Mayes, who breaks down the complex math and logic behind this visualization in an easy-to-follow manner. Here is a direct link to his tutorial: https://lnkd.in/gbEFnpsn I have created two versions of the CoxComb Chart showing the Medals Won By Each Country in Olympic Games Paris 2024. The blog post includes detailed instructions on how to replicate these charts yourself. Read all about it here: https://lnkd.in/gvT3MNMj Comment which version do you like more? :) Version 1: https://lnkd.in/gze5Bjbv Version 2: https://lnkd.in/gi_ncGuC #CoxComb #Radials #Tableau #DataFam #Analytics #BusinessIntelligence #CreativeCharts #Data
Medha Khurana’s Post
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Releasing another huge new guide today on using R & Power BI together. There are many data analysis techniques you can take advantage of when combining both of these. Including: - Custom visualizations using ggplot2 - Advanced statistical analysis and predictive modeling - Performing multivariate regression analysis for sales forecasting - Implementing time series analysis for trend prediction - Conducting cluster analysis for customer segmentation - Building interactive geospatial visualizations using R's mapping libraries - Optimizing R script performance for large datasets and much more... The goal with the new guide is to get you thinking wider around what's possible and to learn various best practice techniques. Jump into it! #PowerBI #DataAnalytics #RStats #EnterpriseDNA #DataMentor
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Releasing another huge new guide today on using R & Power BI together. There are many data analysis techniques you can take advantage of when combining both of these. Including: - Custom visualizations using ggplot2 - Advanced statistical analysis and predictive modeling - Performing multivariate regression analysis for sales forecasting - Implementing time series analysis for trend prediction - Conducting cluster analysis for customer segmentation - Building interactive geospatial visualizations using R's mapping libraries - Optimizing R script performance for large datasets and much more... The goal with the new guide is to get you thinking wider around what's possible and to learn various best practice techniques. Jump into it! #PowerBI #DataAnalytics #RStats #EnterpriseDNA #DataMentor
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📊 When to Use Different Types of Visualizations 📊 Choosing the right visualization is crucial for conveying your data story clearly. Here’s a quick guide to help you decide which type of plot to use in R: - Bar Charts: Compare categories or show counts. - Line Charts: Visualize trends over time. - Histograms: Display the distribution of continuous data. - Boxplots: Identify outliers and understand data spread. - Scatter Plots: Explore relationships between two variables. - Heatmaps: Show patterns or concentrations in data. Understanding when to use each chart helps you uncover insights faster. 🚀 👉 Follow EU StudyAssist for more tips on mastering data visualization in R! #DataVisualization #RforResearch #ggplot2 #EUStudyAssist
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Data type seems irrelevant until it‘s NOT Once you see it… 😱 Check out my YouTube video for building optimized model #powerbi #analytics #model
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🔍 Scatter Plots in Power BI: Discover Data Relationships Scatter Plots are powerful for uncovering relationships between two variables and identifying trends, clusters, or outliers. Whether you're comparing advertising spend vs. revenue 💵 or plotting test scores vs. study time 📚, Scatter Plots can reveal insights that other charts might miss. 📊 Why use them? They’re great for visualizing correlations and finding hidden patterns in your data. ✨ Tip: Add a trendline to highlight the overall direction of the data! Have you ever found surprising insights with Scatter Plots? Share your stories below! #PowerBI #ScatterPlots #DataScience
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Categorization enables us to investigate group differences and gain insights. I enjoyed analyzing this dataset and creating the below graphic. #PowerBI #businessintelligence #dataviz #dataanalytics #Deneb #Vegalite
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I recently came across a fascinating movie dataset and investigated the trends and patterns in the data. I have shared a short clip of the final Power BI visualization. Check out the project details here; https://lnkd.in/gdtGX-e5 #dataanalysis, #movies, #datascience, #entertainment, #jupyternotebook
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Day 5 of My Data Analytics Cohort Journey!!! Completed our 2nd Power BI session with the fantastic mentor Praneeta Gupta through Metvy! 🙌 We explored the world of data visualization, diving deep into various chart types—bar charts, pie charts, scatter plots, and more. These tools are crucial for transforming raw data into impactful insights. It’s exciting to see how Power BI can be used for effective storytelling with data! Looking forward to applying these skills in future projects. #DataAnalytics #PowerBI #Metvy #DataVisualization #LearningJourney #Analytics #DataScience
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Choosing the appropriate chart type for data visualization involves understanding your data, message, and audience. Start by clarifying your goal: For feature comparison, consider Bar or Column Charts. To observe trends, use Line or Area Charts, Sparklines, etc. To analyze relationships, opt for Scatter plots, Heatmaps, Bubble Charts, etc. To assess individual feature contributions, explore Composition charts like Pie charts, Donut Charts, Treemaps, etc. To visualize feature distributions, try Histograms, Box Plots, Density Plots, etc. #data #visualization #businessintelligence #view #charts #BI
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🚀 Day 13 of our #100DaysOfPowerBI journey! 👉 Today's Achievement: Today, we explored a creative way to enhance our dashboard’s interactivity and visual appeal by using a treemap as a slicer. This approach not only improves the aesthetics of our dashboard but also provides a more intuitive way to filter data. Are you also learning Power BI or interested in data analytics? Join us on this journey, and let's get started! https://lnkd.in/dniB4tNu Follow PowerBIGate for more updates. #PowerBI #DataAnalytics #100DaysOfPowerBI #LearningJourney #DataScience #BusinessIntelligence #datavisualization #powerbigate
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CJ-Mayes.com | BI Director at JLL
2moA wonderful job building on the learnings from the blog and applying it to your own work, all whilst understanding the underlying logic - nice one Medha