Microsoft research forum for GAI economic key ratios by bing map regions zip codes or zip code ranges or based on miles or unit of conversion

Question

Is there an option to easily compose, design key ratios based on current and/or plan map zip codes or zip code ranges. (e.g. population, scorings, budgets, budget forecasts, average annual fees, taxes, cultural or educational topics, and/or based on miles...)

Example: Generative AI map units of metrics.

Remark: May a generative AI inquiry retrieval template, maybe an option and/or prompt engineering template format? prompt engineering key ratio formulas.

Answer 1

Hello Francisco Orozco,

Welcome to the Microsoft Q&A and thank you for posting your questions here.

Regarding your questions, easily might be termed wrongly because, it won't be what everyone can do.

However, designing and analyzing key ratios by zip codes or zip code ranges can be accomplished through a variety of tools and methodologies. Below is an overview of effective options, along with sample applications for integrating data analysis.

1. Tools like Smappen and MangoMap enable the creation of zip code maps and the overlaying of datasets, such as demographic statistics, budget allocations, and other relevant metrics. These tools simplify visualizing patterns and deriving insights from geographical data. For example, Smappen is useful for mapping population density or budgeting needs across zip codes, while MangoMap allows for interactive web maps using region-based data extracted from spreadsheets. -https://www.smappen.com/blog/create-zip-code-map and https://mangomap.com/industries/web-mapping/tutorials/how-to-make-a-web-map-from-regions-in-a-spreadsheet.html
2. With Azure Maps and Bing Maps, you can design customized maps containing zip code information. These tools integrate seamlessly with other Azure services, making it easier to analyze data geographically. They also allow developers to incorporate dynamic visualizations into dashboards for real-time data exploration based on zip code clusters.
3. Generative AI models can streamline data retrieval and analysis through prompt-based interactions. By designing templates or prompts, users can automate the process of calculating key ratios for various zip codes. This approach enhances efficiency and provides actionable insights quickly.

Generative AI can assist in analyzing zip code-based data. This is a basic template:

Prompt: Generate key ratios for the following zip codes: [list of zip codes]. Include metrics such as population, average annual fees, budget forecasts, and educational topics.
Response:
- Zip Code 12345:
  - Population: 10,000
  - Average Annual Fees: $5,000
  - Budget Forecast: $1,000,000
  - Educational Topics: 20 schools, 5 libraries
- Zip Code 67890:
  - Population: 15,000
  - Average Annual Fees: $4,500
  - Budget Forecast: $1,200,000
  - Educational Topics: 25 schools, 8 libraries

You can define formulas for specific ratios through carefully crafted prompts. For example:

Prompt: Calculate the budget per capita for the following zip codes: [list of zip codes].
Response:
- Zip Code 12345:
  - Budget: $1,000,000
  - Population: 10,000
  - Budget per Capita: $100
- Zip Code 67890:
  - Budget: $1,200,000
  - Population: 15,000
  - Budget per Capita: $80

I hope this is helpful! Do not hesitate to let me know if you have any other questions.

---

Please don't forget to close up the thread here by upvoting and accept it as an answer if it is helpful.