BMW Market Segmentation (2010–2024): A K-Means Clustering Analysis
Overview To better understand BMW’s product and market segmentation, a K-Means clustering algorithm was applied to four key quantitative features: Price_USD Sales_Volume Engine_Size_L Mileage_KM The
BMW Sales Dataset Summary (2010–2024): Descriptive Insights
Overview The dataset contains 50,000 records with 11 attributes that describe BMW’s sales, pricing, and model characteristics across multiple regions and fuel technologies between 2010
BMW Sales Classification and Regional Distribution (2010–2024)
Overview This section explores how BMW’s global sales performance varies across regions and sales categories (classified as High or Low). It provides a broader understanding
BMW Annual Sales Trends by Fuel Type (2010–2024)
Overview This section examines BMW’s sales performance across four major fuel categories, Diesel, Petrol, Hybrid, and Electric, from 2010 to 2024. The analysis reveals how
BMW Price vs Mileage (2010–2024): Unveiling Value Retention Patterns
Overview This analysis examines whether the mileage of BMW vehicles significantly influences their market price between 2010 and 2024. The goal was to understand depreciation
BMW Pricing Analysis (2010–2024): Fuel Type and Price Dynamics
Overview This analysis examines how BMW car prices vary across different fuel types, Diesel, Petrol, Hybrid, and Electric, using data covering 2010 to 2024. The
BMW Sales Data (2010–2024): Insights from Data That Drive Market and Policy Decisions
By DatalytIQs Academy — Analytics that Inform Progress Introduction Between 2010 and 2024, the global automotive industry experienced rapid technological evolution, policy shifts toward sustainability,
The Rhythm of Other Worlds: Understanding Kepler’s Orbital Period Classes
The Pulse of a Planetary System Every planet tells time — not with hours, but with orbits.The orbital period (how long a planet takes to
Clustering the Cosmos: Discovering Hidden Groups in the Kepler Exoplanet Data
From Features to Families of Worlds After mapping Kepler’s sky, analyzing distributions, and ranking feature importances, it’s time to ask a deeper question:Do exoplanets naturally
From Light to Logic: What Random Forests Reveal About Kepler’s Hidden Worlds
From Linear to Nonlinear Thinking After exploring feature distributions, class differences, and a logistic regression baseline, it was time to test how a more flexible
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