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[Data cleaning using pandas (Titanic dataset) ]
Before analysis, I cleaned the Titanic dataset:
1. Filled missing Age values with the median age (177 missing → 0)
2.Dropped the Cabin column (687 missing values, too sparse)
3.Filled missing Embarked with the most common port (2 missing → 0)
Result: 891 rows, 11 columns, no missing values in critical fields. Clean, consistent data ready for AI processing.
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3 signs your business data is costing you money 📊
You can't answer basic questions instantly "What was last month's revenue?" — if finding the answer takes more than 2 minutes, your data is not structured properly.
You have data but no clarity Spreadsheets full of numbers but no clear view of what is growing, what is declining or what needs attention. Data without structure is just noise.
Every report feels like starting from scratch If preparing a weekly or monthly report takes hours instead of minutes — the system is broken, not the person doing it.
The fix is not expensive software.
A clean Excel dashboard built around your specific business takes 1 to 2 days to set up and saves hours every single week after that.
If any of these sound familiar — message me. Happy to share a sample.
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This is the right diagnosis. To add a 4th sign you know something is wrong with revenue but can't point to exactly where or how much. That gap between "sales feel off" and "here's the dollar figure on each leak" is usually a structural data problem before it's anything else. The...
This dashboard delivers a comprehensive 5-year analysis (2021–2025) of the global automotive industry, clearly highlighting how China has emerged as the undisputed market leader.
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Key insights from the dashboard include:
China’s sales growth significantly outpaces global averages
Rapid acceleration in EV adoption, nearing half of total sales
Strong export growth positioning China as a global automotive powerhouse
A widening gap between China and other major markets like the USA, Japan, and Germany
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Transformed raw airline data into a 2-page Power BI dashboard — a Key Visuals summary page for quick insights and a Performance Analysis page for deep dives by country, continent, and financial year. Includes revenue trends, cost analysis, and workforce breakdowns.
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