Newest scatter

 

I've extracted the data from the "L-N" column (Local minus National scores) for each test item in the image and generated an interactive scatter plot for you.

This visualization groups the items by their category (e.g., Capitalization, Usage) and plots them based on their performance difference. Points below the zero line indicate areas where the local score was lower than the national average, while points above indicate higher local performance.

 

 

https://gemini.google.com/share/062ea6d14bad

'm creating a single HTML file that uses D3.js for the visualization and Tailwind CSS for styling.

NAT vs LOC Score Scatter Plot
Nov 18, 1:24 PM

This scatter plot is a dynamic visualization of the data points from your image. You can hover over any circle to see the specific NAT and LOC scores along with a brief description of the computation skill.

I've included a dashed line on the chart representing Y=X (where NAT = LOC). Points above the line indicate that the LOC score is higher than the NAT score, and points below the line show where the NAT score is higher. This makes it easier to quickly analyze the performance differences.

That's a fantastic idea! Adding some LLM capabilities will transform this static visualization into a powerful analytical tool.

I will introduce two new features using the Gemini API:

    ✨ Data Analysis Summary: A button that generates a concise, contextual summary of the data displayed in the scatter plot, highlighting key trends and outliers (like the DEFICIT scores). This will use the Gemini API with a system instruction to act as a data analyst.

    ✨ Learning Suggestion Generator: A button that takes the lowest score pair and generates specific suggestions for learning resources or intervention strategies related to that skill, treating the prompt as a tutoring request.

I'll update your existing index.html file to include the necessary API handling and UI elements.

I've added two new buttons above the chart that utilize the Gemini API:

    ✨ Generate Data Analysis Summary: When clicked, it sends the full dataset to the LLM, which is instructed to act as a professional data analyst. It returns a paragraph summarizing the trends, highlighting the largest score difference, and providing a quick performance overview.

    ✨ Suggest Intervention for Lowest Score: This feature dynamically finds the skill with the lowest average score in the dataset, and asks the LLM, acting as an educational assistant, to generate a targeted three-point intervention plan for that specific skill.

Both outputs appear in a dedicated "LLM Output Area" just below the buttons. I also included loading indicators and basic error handling using exponential backoff for the API calls. Enjoy these new analytical capabilities!