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Finally wrapped up the Power BI dashboard for my House Sales Analysis project 🏠📊
After cleaning and exploring the data with Python and writing SQL queries, I used Power BI to turn the analysis into an interactive dashboard.
In the dashboard, I explored:
House price trends
Property size and pricing
House grades
Waterfront vs non-waterfront properties
Location-wise pricing
Bedrooms and other property features
I also worked with DAX measures, slicers, interactive visuals, and KPIs to make the dashboard more useful for exploring the data.
This project helped me practice the complete data analytics workflow:
Python → Data Cleaning & EDA → SQL → Power BI
Still learning and improving with every project. 🚀
#PowerBI #DataAnalyst #DataAnalytics #SQL #Python #EDA #DataCleaning #DAX #BusinessIntelligence #DataVisualization #PowerBIDashboard #PortfolioProject #DataAnalysis
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Skopos just went through a rebrand. Skopos is a Dashboard app I offer for companies that want to pay a one-time fee to permanently have their metrics on their displays.
Which one is better?
skopos.cc
4 voted
27%
11 voted
73%
15 votes
Closed
The new one reads way more confident, "put your numbers on the wall" as a headline just sells the product better than the illustration-heavy version did. What was driving the rebrand, was it more about conversion on the landing page or repositioning the product overall?
Built an interactive Power BI dashboard to analyze grocery sales, item categories, outlet performance, outlet types, ratings, and trends using data modeling, measures, charts, and slicers.
