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Birth Rate Trend Analysis | Python & Pandas
Analyzed global birth rate data using Python (Pandas, NumPy, Matplotlib) to uncover long-term demographic trends and regional differences. Performed data cleaning, time-series analysis, and visualization to generate insights into population growth patterns and socio-economic implications. Delivered clear visual storytelling through structured exploratory data analysis.
https://github.com/bryan781/Birth-rate-analysis-using-IPYNB.git
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Related posts
• Jul 10
Title:
Professional Data Entry Project (Microsoft Excel)
Description:
Built a professional Excel-based Data Entry Project for accurate data collection, organization, and management. The project includes structured spreadsheets, automated calculations, data validation, sorting, filtering, and clean formatting to improve efficiency and reduce errors. Designed for businesses to maintain organized records and streamline daily data management tasks.
Skills Used:
Microsoft Excel
Data Entry
Data Cleaning
Data Validation
Data Formatting
Sorting & Filtering
Formulas (SUM, IF, COUNTIF, VLOOKUP/XLOOKUP)
Spreadsheet Management
Data Organization
Clean structure and a really practical summary dashboard — the Paid/Pending breakdown is a nice touch for order tracking. Good example of turning raw entries into something genuinely usable.
Wrote a Case Study on this project. It stretched me, and it's my baby.
Sweet
Learning Aspirations Dashboard
Code-based Python dashboard with 4 chart types — bar chart, pie chart, box plot, and scatter plot — visualising student learning aspiration levels, preferred styles, and subject-wise progress.
PythonMatplotlibPandas
4 chart typesCode-based visualisation
Challenges
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