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thugge254/Kenya-Pipeline-Company-IPO---Insights-from-Francis-Drummond-Co.-Ltd-Investor-Data

Domain:

socioeconomic

Record type:

project
Creator:
thu
Host:
# Kenya Pipeline Company IPO – Investor Insights Dashboard An interactive data analytics dashboard built to explore investor behavior, demographics, and IPO subscription patterns for the **Kenya Pipeline Company IPO**, using investor data from Francis Drummond & Co. Ltd. The dashboard provides a comprehensive view of investor participation across Kenya, helping uncover insights into onboarding efficiency, regional distribution, and demographic trends. ### πŸ“Š Project Overview **This project analyzes IPO investor data to answer key business questions such as:R** - Who are the investors participating in the IPO? - How are investors distributed across regions and cities? - What are the demographic characteristics of investors? - How efficient is the investor onboarding process? - What are the preferred dividend disposal methods? ### πŸ“ˆ Key Features **KPI Dashboard** - Total Investors - Accounts Opened on PERAGO - CDS Account Numbers Created - Average Investor Age - Youngest & Oldest Investor - Most Preferred Dividend Disposal Method - ### πŸ“Š Visual Analytics **Donut charts for:** - Gender distribution - Regional investor distribution - Histogram of investor age distribution - Bar chart of investors by region - Top 10 cities by number of investors ### πŸ—ΊοΈ Geographic Insights Interactive Kenya map showing IPO subscription distribution across regions/counties ### πŸ› οΈ Tech Stack **Python** **Pandas** – data cleaning & manipulation **Plotly** – interactive visualizations **Streamlit** – dashboard development **GeoPandas / GeoJSON** – geographic mapping ## πŸ“· Dashboard Preview ### IPO STATUS ### πŸ“Š KPI Dashboard ### 🍩 Donut Charts ### πŸ“ˆ Distribution Charts ### πŸ™οΈ IPO Subscription Map ### πŸš€ Getting Started **1. Clone the repository** `git clone github.com cd kpc-ipo-dashboard` **2. Install dependencies** `pip install -r requirements.txt` **3. Run the dashboard** `streamlit run app.py` ### πŸ“ Project Structure ```β”œβ”€β”€ a …