├── README.md
├── WorldBank.xlsx
└── pr (1).ipynb


/README.md:
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 1 | # 🌍 Exploring Global Economic Trends with World Bank Data 📊
 2 | 
 3 | This project explores long-term trends in global economic indicators using data from the [World Bank](https://data.worldbank.org/). The main focus is on **GDP** and **GDP per capita**, analyzed across different **income groups** over time.
 4 | 
 5 | ## 🧠 Objective
 6 | 
 7 | To analyze how economic indicators like GDP and GDP per capita have evolved across different income groups (low, lower-middle, upper-middle, and high income), using real-world time series data.
 8 | 
 9 | ## 🔧 What I Did
10 | 
11 | - 🔹 **Data Cleaning & Preprocessing**
12 |   - Handled inconsistencies and missing values
13 |   - Standardized column names and data types
14 | 
15 | - 🔹 **Missing Value Treatment**
16 |   - Applied **forward fill** and **backward fill** techniques to address missing data
17 | 
18 | - 🔹 **Data Visualization**
19 |   - Created clear and informative plots using **Matplotlib** to visualize:
20 |     - Long-term trends in GDP by income group
21 |     - Comparative changes in GDP per capita
22 |     - Economic disparities over time
23 | 
24 | ## 📈 Key Insights
25 | 
26 | Simple visualizations can be incredibly powerful for storytelling. Watching the economic gap between income groups widen or narrow over time was both insightful and eye-opening.
27 | 
28 | ## 💡 Takeaways
29 | 
30 | Projects like this remind me why I enjoy working with data. Every dataset holds a story — you just have to uncover it.
31 | 
32 | ---
33 | 
34 | ## 🛠️ Tech Stack
35 | 
36 | - **Python**
37 | - **Pandas**
38 | - **Matplotlib**
39 | - **Jupyter Notebook**
40 | 
41 | ---
42 | 
43 | ## 📁 Project Structure
44 | 
45 | world-bank-economic-trends/ ├── data/ │ └── world_bank_data.csv ├── notebooks/ │ └── global_trends_analysis.ipynb ├── visualizations/ │ └── gdp_per_capita_by_income_group.png ├── README.md
46 | 
47 | 
48 | ---
49 | 
50 | ## 🙌 Let's Connect
51 | 
52 | Have you worked with similar datasets or done global economic analysis? I’d love to learn from your experience or get your feedback on how to improve this project.
53 | 
54 | ---
55 | 
56 | ## 📌 Hashtags
57 | 
58 | `#DataScience` `#Python` `#WorldBankData` `#DataVisualization` `#Pandas` `#Matplotlib` `#LearningJourney`
59 | 


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/WorldBank.xlsx:
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https://raw.githubusercontent.com/Vardhan1160/Python_project/99080e90cc40a7984622737ba56395c7441c67d5/WorldBank.xlsx


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