PowerBI Custom Visual - Line Chart
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Updated
Feb 28, 2023 - HTML
PowerBI Custom Visual - Line Chart
An example of R HTML custom visuals in Power BI
Embedded Power BI web application
This project focuses on credit risk analysis using SQL, Python, and Power BI. We built an end-to-end pipeline that starts with raw loan applicant data and ends with an interactive dashboard for stakeholders to monitor loan defaults.
Advanced Box Plot custom visual for Microsoft Power BI with statistical analysis and outlier detection
A custom Power BI visual project that addresses the need for updated visuals and enhances the development experience by providing additional features and multilanguage support.
Car Data Analysis(2024) Project by Mayur Borgude
Interactive navigation menu visual for Power BI with slide-out filtering and hierarchical data support
Custom Slicer for Power BI using react and pbiviz library.
Explore my latest tech portfolio showcasing recent projects and my passion for data analytics, insight generation, visualizations, model building, and project planning. These projects are my initial foray into data science, and I am constantly learning and exploring new ways to use data. Stay tuned for more ambitious projects!
About A meticulously crafted eCommerce Sales Dashboard within Power BI functions as a central command center, empowering stakeholders to meticulously monitor and dissect critical performance metrics pivotal for gauging the efficacy and triumph of an online retail platform
Using PowerQuery & PowerBI to visualize company revenues and wages
Portfolio Website to showcase my Data Analysis Work such as Power Bi Reports, SQL Project
Use Timeline to visualize project milestones, key events, and project finish times. Mark important dates such as holidays and birthdays and share your downloadable iCalendar with the staff. Create your timelines using various styles include line, bar, waterfall, and kaban style layouts.
Internship Domain-Data Science/ Data Analytics
COVID-19 data analysis dashboard which was created by using Lithuania Open Data portal.
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