🚗 Introduction

Electric vehicles (EVs) are taking over the roads faster than ever before. As sustainability and clean energy become top priorities, understanding how EV adoption is growing helps us see where we’re headed next.

In this project, I explored the Washington State Electric Vehicle Population dataset, which contains detailed information about EV makes, models, types, and locations across the state. Using Python, pandas, and seaborn, I conducted an Exploratory Data Analysis (EDA) to uncover the patterns behind EV adoption.

🧹 Step 1: Data Cleaning

The dataset was loaded using pandas and cleaned by:

• Removing duplicate entries

• Dropping rows with missing values

After cleaning, I was left with a reliable dataset ready for exploration and visualization.

📊 Step 2: Univariate Analysis

To understand the landscape of EV ownership, I first looked at the most popular models, makes, and locations.

🔝 Top 10 Electric Vehicle Models

1. Tesla Dominance: Tesla models (Model Y, Model 3, Model S, Model X) occupy the top six spots, accounting for 144,692 of the 167,879 total registrations (approximately 86%). This reflects Tesla’s market leadership, driven by a combination of range, charging infrastructure, and brand ecosystem.
2. Diverse Competitors: Non-Tesla models (LEAF, BOLT EV, MUSTANG MACH-E, ID.4, IONIQ 5, WRANGLER) contribute 47,187 registrations (about 28% of the total), showing growing competition from established automakers. These models cater to varied segments, from affordable (LEAF, BOLT) to luxury/performance (MACH-E, ID.4, IONIQ 5) and off-road (WRANGLER).
3. Range and Market Positioning: The top models generally offer ranges above 200 miles (except WRANGLER’s PHEV focus), aligning with consumer preference for longer-range EVs. Tesla’s higher counts correlate with its superior range and infrastructure, while lower counts for models like WRANGLER suggest niche appeal.
4. Market Trends: The data indicates a strong shift toward SUVs and crossovers (Model Y, Model X, MACH-E, ID.4, IONIQ 5), reflecting consumer demand for versatile vehicles. The presence of the Wrangler 4xe highlights a growing interest in electrified off-road options, though its lower electric range limits its ranking.

🏭 Top EV Make

1. Tesla’s Market Leadership: Tesla’s 108,310 registrations dwarf the competition, accounting for approximately 48% of the top 10 total (225,222 registrations). This dominance is fueled by its diverse model lineup, superior range, and charging infrastructure, solidifying its position as the EV market leader in late 2025.
2. Established Competitors: Chevrolet (19,020), Nissan (16,158), and Ford (14,305) form a second tier, with counts reflecting their established presence and broad model offerings. These manufacturers cater to a range of consumers, from budget-conscious (Nissan) to versatile (Ford) and diverse (Chevrolet).
3. Rising Asian and European Brands: Kia (13,168), Toyota (10,988), Hyundai (9,256), and Volkswagen (7,062) highlight the growing influence of Asian and European manufacturers. Kia and Hyundai’s high counts signal aggressive EV investment, while Toyota’s focus on PHEVs contrasts with its peers’ BEV strategies.
4. Niche Players: Rivian (8,098) stands out as a newcomer with a niche focus on electric trucks and SUVs, competing with Tesla’s premium offerings but at a smaller scale.
5. Market Trends: The data suggests a market leaning toward BEVs with ranges above 200 miles (Tesla, Chevrolet, Ford, Kia, Hyundai, BMW, Rivian, Volkswagen), while Toyota’s lower count and PHEV focus (e.g., 44 miles) indicate a hybrid strategy. This aligns with the global shift toward electrification, with Tesla leading and others diversifying their portfolios.

🗺️ EV Distribution by County

1. Urban Concentration: The top counties (King, Snohomish, Pierce, Clark) account for 221,908 of the 285,155 total registrations (approximately 78%), reflecting a strong urban-rural divide. King County alone represents nearly 46% of the total, underscoring Seattle’s role as an EV adoption hub, likely due to higher income levels, tech industry influence, and policy support (e.g., Washington’s Clean Fuel Standard).
2. Geographic Influence: Western Washington dominates (8 of 10 counties), reflecting the region’s progressive policies, milder climate (favoring EV range), and proximity to charging infrastructure. Eastern Washington (Spokane, Benton) shows lower but growing adoption, possibly due to slower infrastructure development.
3. Market Trends: The data indicates a concentration of EV registrations in counties with major cities and suburban sprawl, where charging stations and economic incentives are more accessible. The decline from King to Skagit suggests a gradient of adoption tied to urbanization and policy reach.

🏙 EV Distribution by City

1. Urban Dominance: The top 10 cities account for 108,021 of the total registrations, with Seattle alone contributing 38% (41,532). This concentration highlights a strong urban-rural divide, where cities with larger populations and economic activity lead EV adoption.
2. Population and Wealth Correlation: Higher counts correlate with larger and wealthier cities (e.g., Seattle, Bellevue, Redmond). This suggests affluence and tech influence drive EV purchases.
3. Geographic Clustering: All top 10 cities are in Western Washington, aligning with the state’s population center and infrastructure development. The absence of Eastern Washington cities (e.g., Spokane) reflects regional disparities in EV adoption.
4. Market Trends: The data indicates a preference for EVs in tech-heavy and affluent areas (e.g., Redmond, Bellevue, Sammamish), likely tied to Tesla’s dominance and access to charging. Smaller cities like Olympia and Tacoma show moderate adoption, possibly due to policy and urban density.

🔄 Step 3: Bivariate Analysis

⚡ EV Type vs CAFV Eligibility

Using a heatmap, I examined the relationship between EV type and Clean Alternative Fuel Vehicle (CAFV) eligibility.This heatmap provides critical insight into the relationship between a vehicle’s fundamental technology and its regulatory status (eligibility for certain state incentives).

1. BEV Distribution

• Clean Alternative Fuel Vehicle Eligible (46655): A significant portion of BEVs (46,655 vehicles) are eligible for CAFV status, indicating that the majority of BEVs meet the criteria for clean fuel vehicle incentives, likely due to sufficient battery range and zero-emission operation. This large count suggests a strong presence of long-range BEVs in the market.
• Eligibility Unknown (163419): The largest single category is BEVs with unknown CAFV eligibility (163,419 vehicles), where battery range data has not been researched. This high number could reflect newly registered vehicles, incomplete datasets, or models pending range certification, highlighting a data gap that affects eligibility determination.
• Not Eligible Due to Low Battery Range (10): Only 10 BEVs are classified as ineligible due to low battery range. This minimal count suggests that most BEVs exceed the minimum range threshold (typically around 75–100 miles for CAFV eligibility), with the ineligible ones likely being early models or niche urban EVs.

2. PHEV Distribution

• Clean Alternative Fuel Vehicle Eligible (29821): A substantial number of PHEVs (29,821 vehicles) qualify for CAFV eligibility. This indicates that a significant portion of PHEVs meet the range and emissions criteria, likely models with electric ranges above the minimum threshold (e.g., 45–50 miles), such as the Toyota Prius Prime or Ford Escape PHEV.
• Eligibility Unknown (0): No PHEVs fall into the “Eligibility unknown” category, suggesting that range data for PHEVs is more consistently researched or reported compared to BEVs. This could reflect stricter regulatory oversight or better-established data collection for hybrid models.
• Not Eligible Due to Low Battery Range (24052): A notable portion of PHEVs (24,052 vehicles) are ineligible due to low battery range. This aligns with the PHEV market’s focus on shorter electric ranges (often below 40–50 miles), which fall short of CAFV requirements, such as the Mitsubishi Outlander PHEV (38 miles) or older models.

Overall Analysis

• BEV Dominance in Eligibility: BEVs overwhelmingly dominate the eligible category (46,655 vs. 29,821 for PHEVs), reflecting their design for longer electric ranges and zero-emission driving, which aligns with CAFV goals. The vast number of BEVs with unknown eligibility (163,419) suggests a rapidly growing market where range data is still being processed, potentially increasing the eligible count as research catches up.
• PHEV Challenges: PHEVs show a split outcome: a significant eligible group (29,821) but a substantial ineligible group (24,052) due to low range. This bifurcation underscores the transitional nature of PHEVs, balancing electric and gas power, with many models not meeting the stringent range criteria for CAFV status.
• Data Gaps: The “Eligibility unknown” category’s concentration among BEVs (163,419 vs. 0 for PHEVs) highlights a data collection disparity, possibly due to the newer and more diverse BEV market. This could imply that as range data is researched, a portion of these BEVs may shift to the eligible or ineligible categories.
• Policy Implications: The heatmap suggests that CAFV eligibility policies favor longer-range EVs, with BEVs more likely to qualify and PHEVs facing higher ineligibility due to range limitations. The low ineligible BEV count (10) reinforces that modern BEV designs generally exceed minimum standards, while PHEV ineligibility (24,052) indicates a need for range improvements to align with incentives.

🔋 Electric Range by Make

The plot presents a boxplot visualization of the electric range (in miles) distribution for various automobile makes, filtered to include only makes with at least 100 non-zero range registrations. This ensures a robust sample size for analysis, focusing on manufacturers with significant presence in the electric vehicle (EV) market. The boxplot for each make displays the median (central line), interquartile range (IQR, box edges), whiskers (extending to 1.5 times the IQR), and outliers (dots beyond the whiskers), providing insight into the central tendency, spread, and variability of electric ranges.

1. High-Range, Pure BEV Segment

These manufacturers prioritize maximizing battery capacity and driving distance, targeting the premium and modern Battery Electric Vehicle (BEV) market.

• Tesla: Tesla stands out with one of the highest median ranges, and the highest maximum (based on the upper whisker and outliers). The tight IQR indicates remarkable consistency across its lineup of high-range BEVs, reflecting a focused strategy on long-range performance.
• Jaguar and Polestar: Also show very high and tight range distributions, confirming their commitment to premium, long-range BEVs.

2. Transitional/Diverse BEV Segment

These manufacturers offer a mix of legacy Plug-in Hybrid Electric Vehicles (PHEVs) and newer BEVs, resulting in a large spread in range distributions that reflects their evolving market presence.

• Chevrolet: Displays a complex distribution with a median range, driven by popular BEVs like the Bolt EV. However, the IQR is very wide , with the lower whisker near 0 miles and the upper whisker exceeding 250 miles. This suggests Chevrolet effectively serves two markets: the long-range BEV segment (Bolt, Equinox EV) and the short-range PHEV segment (Volt), leading to high variance in registrations.
• Nissan: Features a moderately high median range, primarily driven by the original LEAF model, which falls into the moderate BEV range category. The IQR (likely 50–150 miles) and upper whisker nearing 250 miles indicate a transition from its initial moderate-range focus to newer, longer-range variants, though it remains less consistent than pure BEV leaders.

3. PHEV-Dominant Segment (The Low-Range Cluster)

These manufacturers have medians tightly clustered below 50 miles, reflecting a strategy heavily reliant on plug-in hybrid technology rather than pure BEVs.

• Toyota, BMW, Volvo, and Ford: These brands cluster at the low end of the chart, with medians below 50 miles and compact IQRs (e.g., 0–75 miles). The box plots are almost entirely contained below 75 miles, aligning with the definition of PHEV ranges (typically under 75 miles electric-only). Toyota’s focus on the Prius Prime (up to 44 miles), BMW’s 330e (up to 23 miles), Volvo’s XC60 T8 (up to 41 miles), and Ford’s Escape PHEV (up to 37 miles) validate this trend. The short interquartile ranges and limited upper whiskers (near 100–150 miles) confirm that the majority of their registered vehicles are low-range P

📈 Electric Range by Model Year

1. Pre-2010 Highs (The Small Sample Anomaly)

• Vehicle Rarity: Before 2010, the number of registered Electric Vehicles (EVs), including Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs), was extremely low — often just a few vehicles per year. This reflects the early, experimental phase of EV development and adoption.
• High-End Influence: The average electric range rose from about 50 miles in 2000 to a peak of around 200 miles by 2010, likely driven by a small number of high-range, premium, or specialized BEVs, such as early Tesla Roadsters or compliance vehicles. These outliers heavily skewed the mean upward due to their exceptional performance.
• The Fluctuation: The volatile line in these early years results from the tiny sample size, where the addition of even one long-range vehicle could significantly alter the yearly average, causing the observed sharp increases.

2. The Drop Around 2010 (Introduction of Production EVs)

• First Mass-Market BEVs: The decline starting around 2010 marks the beginning of the modern EV era, with the introduction of mass-market BEVs like the Nissan LEAF (initial range around 73 miles) and the Chevrolet Volt PHEV. This shift moved the market from niche to accessible vehicles.
• The Normalization: The influx of these production models, with more modest and consistent ranges, reduced the impact of pre-2010 high-range outliers. The average dropped from 200 miles in 2010 to around 50–75 miles by 2015, reflecting the true average range of early mass-market BEVs as registrations grew to hundreds of vehicles.
• The Result: This stabilization post-2010 established a baseline for the EV fleet, highlighting the transition from rare, high-range anomalies to a more representative sample of consumer vehicles.

3. The Recovery Post-2015 (Technological Advancements)

• Renewed Growth: From 2015 onward, the average electric range began to climb again, peaking at about 200 miles by 2020. This resurgence is likely due to advancements in battery technology, increased industry investment, and the launch of models like the Tesla Model 3 and Chevrolet Bolt, offering ranges of 200–300 miles.
• Market Expansion: The upward trend reflects a broader market with more mid-to-high-range BEVs, smoothing the curve and indicating a larger, more diverse dataset that minimized the influence of outliers.

4. The Sharp Decline Post-2020 (Data Immaturity and Unknown Ranges)

• Apparent Drop: From 2020 to 2025, the average electric range falls sharply from 200 miles to near 0 miles. This steep decline is most plausibly attributed to incomplete data for the 2025 model year, where many electric ranges remain unreported or recorded as unknown (e.g., null or 0 in aggregation).
• Data Immaturity: The 2025 model year is still early, with vehicle production, sales, and registrations ramping up. New models are only recently entering the market. Unreported ranges in the dataset likely drag the average down, mirroring historical anomalies in early model-year data
• The Implication: This drop is a data artifact rather than a technological reversal. As 2025 registrations mature (likely by mid-2026), the average should rise to align with the upward trend, potentially exceeding 300 miles, reflecting ongoing EV range improvements.

💡 Key Insights

• Tesla dominates Washington’s EV landscape, both in model count and range capability.
• King County and Seattle are the primary EV hubs in the state.
• Battery Electric Vehicles (BEVs) are more prevalent and CAFV-eligible than PHEVs.
• Average electric range has increased with each newer model year reflecting technological progress.

🧠 What I Learned

This project strengthened my understanding of:

• Performing structured EDA with pandas and seaborn
• Handling missing and duplicate data
• Building meaningful visualizations to reveal trends

It also highlighted how open data can tell real stories about technological shifts in our world.

🧰 Tools Used

• Python (pandas, seaborn, matplotlib)
• Jupyter Notebook for analysis and documentation

🚀 Conclusion

Washington State is leading the charge in EV adoption — literally. With Tesla at the forefront and BEVs gaining ground, the future looks increasingly electric.

This analysis is part of my data analytics portfolio, where I use real-world datasets to uncover meaningful insights and share them with the community.

The Paris 2024 Olympics marked a significant step forward in sustainable event hosting. Organizers committed to reducing the event’s carbon footprint by 50% compared to the average of London 2012 and Rio 2016.

Key sustainability features included:

Minimal new construction: Most venues were existing facilities, reducing the environmental impact.

Games Go Green, Lean and Digitized: The Evolution of Sustainability in the Olympics | Populous

Renewable energy: A strong emphasis on solar power and other renewable sources.

Choosing renewable energy

Sustainable transportation: Encouraging public transport, cycling, and walking, with a focus on expanding bike-sharing programs and improving public transport infrastructure to accommodate the influx of visitors.

Moving Towards A Sustainable Paris 2024

Reduced waste: Implementing comprehensive waste management strategies, including recycling, composting, and waste reduction initiatives, with a goal of zero waste to landfill.

Mol-e

Focus on local and organic food: Promoting sustainable food sourcing by prioritizing local and organic products, reducing food miles, and minimizing food waste through careful planning and distribution.

One standout example of innovation was the revolutionary running track. Composed in part of ground-up mussel shells, it represented a significant departure from traditional petroleum-based tracks. The purple hue of the track was achieved without artificial pigments, further enhancing its eco-friendly credentials. Beyond its environmental benefits, the track also demonstrated excellent performance characteristics, meeting the rigorous demands of elite athletes.

While Paris 2024 set a commendable benchmark, achieving complete sustainability remains a complex challenge. Future Olympics can build upon these successes by exploring further innovations in renewable energy, waste management, and resource efficiency.

Image: https://www.pexels.com/photo/wave-photograph-210227/

Ghana’s shores are crashing with more than just waves – they’re brimming with untapped potential for clean, renewable energy. Studies suggest that wave energy along Ghana’s coastline could exceed the country’s current total power requirements.

Wave energy is a form of renewable energy that captures the movement of ocean waves to generate electricity. Unlike tidal energy, which uses the rise and fall of tides, wave energy harnesses the kinetic energy of waves as they travel across the water’s surface.

This promising resource could revolutionize Ghana’s energy sector, reducing reliance on traditional sources and paving the way for a more sustainable future. Here are some key data points to highlight the potential:

• Wave Energy Potential: Studies estimate Ghana’s wave energy potential to be around 7,215 megawatts (MW), according to a 2022 study by Tulashie et al. titled “Feasibility Study of Wave Power in Ghana”.
• Current Power Needs: Ghana’s current total power generation capacity is around 4,132 MW to 5,134 MW, depending on the source (Ghana Ministry of Energy and International Trade Administration).

By harnessing wave energy, Ghana could not only meet its current needs but also generate surplus clean electricity.

Image: https://www.alamy.com/renewable-energy-infographic-wave-power-global-environmental-problems-vector-illustration-image397408685.html