30 setup prompts for producing scatter plots from school test data.
These prompts are designed to help you explore relationships between test performance and a wide range of other factors. For each prompt, you would typically plot the test score on the vertical (Y) axis and the other variable on the horizontal (X) axis.
📈 Category 1: Performance vs. Study Habits
These prompts look for a connection between a student's preparation and their test results.
Hours Spent Studying (per week) vs. Final Exam Score
Percentage of Homework Completed vs. Quiz Average
Number of Practice Problems Completed vs. Math Test Score
Time Spent on Study App (minutes) vs. Vocabulary Test Score
Number of Tutoring Sessions Attended vs. Midterm Exam Score
🏫 Category 2: Performance vs. Engagement & Attendance
These prompts investigate the relationship between a student's physical and mental presence in class and their scores.
Number of School Days Missed (Absences) vs. Standardized Test Score (Reading)
Class Participation Grade vs. History Final Project Score
Percentage of Classes Attended vs. Final Grade Percentage
Number of Times Tardy to Class vs. Pop Quiz Average
Student's Self-Reported "Interest in Subject" (Scale 1-10) vs. Science Test Score
📊 Category 3: Comparing Academic Performance
These prompts compare a student's performance in one area directly against another, looking for consistency or correlation.
Midterm Exam Score vs. Final Exam Score
Standardized Test Score (Math) vs. Standardized Test Score (Language Arts)
Score on Exam 1 vs. Score on Exam 2 (in the same course)
High School GPA vs. College Entrance Exam Score (e.g., SAT/ACT)
Reading Speed (Words Per Minute) vs. Reading Comprehension Test Score
Score on Written Essay vs. Score on Multiple-Choice Test (for the same subject)
🏠 Category 4: Performance vs. Student Background
These prompts explore potential correlations between a student's home environment or demographic factors and their academic achievement.
Family Income vs. Standardized Test Score
Parental Education Level (Years of Schooling) vs. Student's GPA
Number of Books in the Home vs. Reading Test Score
Student's "Self-Efficacy" Score (from a survey) vs. Physics Exam Score
Average Hours of Sleep per Night vs. Cognitive Aptitude Test Score
📝 Category 5: Performance vs. In-Test Behavior
These prompts look at what a student does during the test.
Time Taken to Complete Exam (minutes) vs. Final Exam Score
Number of Questions Answered vs. Total Test Score (in a timed test)
Number of Answers Changed vs. Test Score
🧑🏫 Category 6: School-Level & Other Factors
These prompts investigate broader environmental or school-wide factors.
Class Size (Number of Students) vs. Class Average Exam Score
Years of Teacher Experience vs. Class's Average Standardized Test Score
Per-Pupil Spending (by school) vs. Average SAT Score (for that school)
Distance from Home to School (miles) vs. Student's Attendance Rate
Screen Time (hours per day) vs. GPA
Score on Pre-Test (at start of unit) vs. Score on Post-Test (at end of unit)
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Here are 30 setup prompts designed to generate scatter plots for a comparative analysis of school test data, categorized by the type of relationship they aim to explore.
📈 Category 1: Core Subject vs. Core Subject
These prompts compare performance between two academic disciplines.
"Plot Math scores vs. Reading scores, with points color-coded by grade level."
"Generate a scatter plot comparing Science scores (Y-axis) against Math scores (X-axis), using different shapes for each grade level."
"Show the relationship between Writing assessment scores and Reading comprehension scores, color-coded by grade."
"Create a comparative scatter plot of History scores versus Writing scores for all grades."
"Plot 3rd-grade Math scores vs. 3rd-grade Reading scores on one chart, and 5th-grade Math vs. 5th-grade Reading on another for side-by-side comparison."
"Generate a scatter plot of final exam scores in Language Arts vs. final exam scores in Social Studies, faceted by grade level."
📊 Category 2: Performance vs. Engagement/Behavior
These prompts look for correlations between academic scores and student behavior data.
"Analyze the correlation between days absent (X-axis) and final exam scores (Y-axis), differentiated by grade level."
"Plot homework completion rate (%) against Science test scores, using grade level to color-code the points."
"Show the relationship between 'time spent on e-learning platform' and 'Reading comprehension scores,' comparing trends across grades."
"Create a scatter plot of 'number of behavioral incidents' vs. 'average test score,' segmented by grade."
"Compare student attendance rates (X-axis) with their corresponding Math scores (Y-axis), using separate colors for 6th, 7th, and 8th grades."
"Plot 'library books checked out' vs. 'Reading test scores,' color-coding points by grade."
🧑🎓 Category 3: Performance vs. Demographic/Context
These prompts explore relationships between scores and student background or class context.
"Plot Math scores vs. socioeconomic status (e.g., Free/Reduced Lunch status), and use faceting to create a separate plot for each grade level."
"Generate a scatter plot of Reading scores by student age (in months), coloring the points by grade level to see within-grade age effects."
"Show the relationship between 'class size' (X-axis) and 'average class test score' (Y-axis), with each point representing a class, colored by grade."
"Plot Reading scores (Y) vs. Writing scores (X) for ELL (English Language Learner) students only, color-coded by grade."
"Compare 'teacher experience (years)' vs. 'class average Math score,' using different markers for each grade level."
⏳ Category 4: Test-Taking & Growth Analysis
These prompts analyze test-taking habits or student progress over time.
"Plot 'time taken to complete test' (X-axis) against 'final score' (Y-axis), and create separate plots (facets) for each grade level."
"Show the relationship between 'practice test scores' and 'final exam scores,' using different colors for each grade."
"Plot 'previous year's Math score' (X-axis) against 'current year's Math score' (Y-axis) to show growth, and color-code by current grade level."
"Analyze the change in Reading scores from Fall to Spring semester, plotted against Fall semester scores. Use colors to differentiate grade levels."
"Generate a scatter plot of 'student growth percentile' (SGP) in Math vs. SGP in Reading, colored by grade."
⚙️ Category 5: Advanced & Multi-Variable Prompts
These prompts request more complex visualizations, such as adding trend lines or creating grids of plots.
"Plot Math scores vs. Reading scores. Add a separate linear regression line for each grade level to compare the slope of the relationship."
"Create a scatter plot matrix (pair plot) of Math, Reading, and Science scores. Color the points in all plots by grade level."
"Generate a scatter plot of Science scores vs. 'days absent.' Use faceting to create a 2x3 grid of plots, one for each grade from 3rd to 8th."
"Plot 'average homework score' vs. 'final exam score.' Use large, semi-transparent markers and color-code by grade to visualize cluster density."
"Show a single scatter plot of 4th-grade Reading scores vs. 5th-grade Reading scores for the same cohort of students (longitudinal)."
"Plot Math scores (Y) vs. a 'composite engagement score' (X). Superimpose a 2D density plot for 6th graders over a standard scatter plot for 7th graders."
"Generate a 3D scatter plot with Math score (X), Reading score (Y), and Science score (Z), using color to represent grade level."
"Plot 'standardized test percentile' (Y) against 'report card grade (GPA)' (X). Facet this comparison by both grade level and subject."
Here are 25 more setup prompts, grouped into new categories to explore more nuanced relationships in your school test data.
🔬 Category 6: Sub-Skill & Test Component Analysis
These prompts break down "scores" into their constituent parts to find more granular relationships.
"Plot scores on the 'Algebra' section vs. scores on the 'Geometry' section of the Math test, color-coded by grade."
"Show the relationship between 'Multiple Choice' score (%) (X-axis) and 'Essay/Short Answer' score (%) (Y-axis) for the English exam, using different shapes for each grade."
"Generate a scatter plot of 'Reading Fluency' scores against 'Reading Comprehension' scores, faceted by grade level."
"Compare performance on the 'Lab' portion (Y) vs. the 'Written Test' portion (X) of the Science final, with separate plots for 7th and 8th grade."
"Plot 'Grammar & Mechanics' sub-score vs. 'Vocabulary' sub-score from the Writing assessment, color-coding by grade."
🏛️ Category 7: Group-Level & Aggregate Analysis
These prompts shift the unit of analysis from individual students to classrooms or schools.
"Create a scatter plot of 'Average Class Math Score' vs. 'Average Class Reading Score,' with each point representing a classroom, colored by grade level."
"Plot 'Variance in test scores within a class' (Y) vs. 'Average score of that class' (X), colored by grade."
"Show the relationship between 'Teacher's Average Student Score (Math)' and 'Teacher's Average Student Score (Reading),' with points colored by the grade level they teach."
"Plot 'School-wide Average Science Score' (Y) vs. 'Student-Teacher Ratio' (X), with each point representing a school, faceted by grade."
"Compare 'Percentage of Students Passing' in Math vs. 'Percentage of Students Passing' in Reading for each classroom, coloring points by grade."
📉 Category 8: Discrepancy & Gap Analysis
These prompts focus on the difference or gap between two data points.
"Plot the discrepancy (Math score - Reading score) on the Y-axis against the 'Overall Average Score' on the X-axis. Color by grade."
"Generate a scatter plot of 'Homework Score' vs. 'Test Score' only for students in the bottom quartile of test-takers. Color-code by grade."
"Plot the gap between 'Practice Test 1' and 'Practice Test 2' vs. the 'Final Exam Score,' colored by grade."
"Show the relationship between 'Student-Reported Confidence' (survey data) vs. 'Actual Test Score' in Math, faceting by grade level."
"Plot the 'Fall-to-Spring Growth' in Math (Y) vs. the 'Fall-to-Spring Growth' in Reading (X), with points colored by grade."
🗓️ Category 9: Temporal & Milestone Comparisons
These prompts compare performance at different points in time (e.g., midterm vs. final).
"Plot 'Midterm Exam' scores (X-axis) vs. 'Final Exam' scores (Y-axis) for the History curriculum, using different colors for each grade."
"Show the relationship between 'Quarter 1 Report Card Grade' and 'Quarter 3 Report Card Grade' in Language Arts, faceted by grade level."
"Compare scores on the 'Fall Benchmark' (X) with scores on the 'Winter Benchmark' (Y), coloring points by grade."
"Plot 'Diagnostic Test' score (start of year) vs. 'Summative Test' score (end of year), with a separate regression line for each grade."
"Generate a scatter plot of 'Project-Based Assessment' scores vs. 'Standardized Test' scores (in the same subject), color-coded by grade."
🧩 Category 10: Specific Cohort & Program Analysis
These prompts filter the data to look at specific student populations.
"Plot Math scores vs. Reading scores only for students in the Gifted & Talented program, coloring by grade."
"Compare 'Special Education' (IEP) students' Math scores (X) vs. their Reading scores (Y), using grade level to color-code."
"Show the relationship between 'Years in Program' (e.g., ELL, G&T) and 'Latest Test Score,' faceted by grade."
"Plot test scores for students in 'After-School Tutoring' vs. students not in tutoring, on the same axes. Use color for grade and shape for tutoring status."
"Generate a scatter plot of 'Standardized Test' percentile vs. 'School-Specific Assessment' percentile, faceting by both grade level and program (e.g., IB, AP, General)."
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