2 Data Processing using Python

DigitalFUTURES WORLD : ARCHITECTS UNITE Workshops

Day 2: Data processing using Python, Rhino Grasshopper
Introduction to Data Processing and Visualization Using Python

Keyword
CSV, JSON, GeoJSON, ZIP, Image Processing, Digital Elevation Model

Research Overview:
* Politics of Space and its shadows [Exhibition]
* Built Environment Assessment

Lecture:
1) Types of data and file formats

Workshop: Google Colab (Jupyter notebook)
1) Data processing and visualization
2) Data structure: structured data and semi-structured data
3) Parse and rebuild CSV, JSON, Geo-JSON
4) Mapping and data visualization with Numerical Mapping Utility Addon
5) Data visualization with Numerical Image Utility Addon

Additional note:
* Pandas- link, Colab example
* Numpy- link
* Feature reduction- link
* TensorflowJS- link

• Overview

Built Environment Assessment, Team members: Eille Jungmin Han, Jia Gu, NJ Namju Lee

Politics of Space and its Shadows by Dongsei Kim, NJ Namju Lee

• Lecture

Data Format and structure:
Unstructured data
Structured data- CSV
Semi-structured data- JSON, GeoJSON
Image: Remote Sensing, DEM,

• Workshop

Data_Manipulation
Data Structure- link
CSV(Grasshopper)- link
JSON(Grasshopper)- link
GeoJSON(Grasshopper)- link
Zip data(Grasshopper)- link
ImageProcessing(Grasshopper)- link

All files: link
Data sets- link

Addons for Rhino Grasshopper: link

• Additional Notes

Addons for Grasshopper

https://jsonlint.com/
https://geojsonlint.com/

Pandas- link, Colab example
Numpy- link
Feature reduction- link
TensorflowJS- link

English Version

Korean Version

Workshop Schedule:
Overview
Day 1: Processing Data and Visualization in Digital Media
Day 2: Data Processing using Python
Day 3: Typescript and HTML Canvas
Day 4: Computational Geometry and Geometry Class
Day 5: Pipeline for Data and Geometry Visualization (or CAD system)
Day 6: Digital Mapping using ArcGIS JSAPI

reference:
update needed