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Showing posts from February, 2026

Lab 3 – 2

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Task 3: Child Poverty and Adult Education Across U.S. Counties This visualization is a scatterplot created using ACS data. The x-axis shows the poverty rate for related children under 18, and the y-axis shows the percent of young adults ages 25–44 with less than a high school diploma. Each point represents a county, and the color indicates the level of child poverty. Average reference lines divide the chart into four quadrants to help compare patterns. Discussion (1) Relationship between child poverty and adult education The quadrant scatterplot reveals a clear pattern in how child poverty and adult education are related across U.S. counties. Counties that fall in the higher child poverty quadrants tend to also show higher percentages of young adults without a high school diploma. This clustering suggests that lower educational atta...

Lab 3 – 1

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Task 1: NHL Career Points Leader This scatterplot shows the relationship between NHL players’ career goals and career assists. Wayne Gretzky and Mario Lemieux are highlighted to emphasize how they stand out relative to other players in overall point production. Task 2: Quadrant Chart of NHL Goals and Shots This quadrant chart shows the relationship between NHL players’ career goals and total shots taken. Average reference lines divide the scatterplot into four quadrants, making it easier to compare player performance relative to league averages. The chart helps identify players with high scoring production, high scoring efficiency, and lower overall performance in a clear and intuitive way. Comparison of Task 1 and Task 2 Visualizations The scatterplot in Task 1 is most effective for exploring the data. It shows the relationship between two player statistics using one point per player, which makes it easy to see the overall patter...