UMBC now has a subscription to PolicyMap, a GIS tool that allows users to create maps, tables, and reports from a variety of datasets ranging from demographics, income, health, education, more. Maps can be created as single sheets or with multiple layers from the zip code / block level to worldwide.

Users can create individual accounts to save, share, and print work. A suite of tutorials is available to help both new and experienced users work with the tool effectively.

This is a lot of fun, and not related to anything: The Siege of Gondor, Part I: Professionals Talk Logistics

GOES

• More Plotly

GPT Agents

• Send Antonio scripts
• Good progress on plotly:
  • Plotly Python Open Source Graphing Library Fundamentals (chart examples)
  • Dash Tutorial
    • Part 1. Installation
    • Part 2. Layout
    • Part 3. Basic Callbacks
    • Part 4. Interactive Graphing and Crossfiltering
    • Part 5. Sharing Data Between Callbacks
    • Part 6. FAQs
  • Open Source Component Libraries
    • Dash Core Components
    • Dash HTML Components
    • Dash DataTable
    • Plotly Python Open Source Graphing Library Maps
    • Plotly Python Open Source Graphing Library 3D Charts
    • Suggest an edit to this page t-SNE and UMAP projections in Python

Book

• Working on Attention
• Downloaded some seaturtle data from here: seamap.env.duke.edu
• Changed over to storks, because I can’t find any example of a female seaturtle choosing a new beach
• 2:00 Meeting with Michelle