hackoregon / 2019hackordatasciencetemplate Goto Github PK
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License: MIT License
Template to get the 2019 data science parts of a Hack Oregon project started :)
License: MIT License
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See conversation with Ed
There has been a request to find ways to list the directory structure of S3 files.
Right now we are unable to list the content of our public hacko-data-archive S3 bucket with the AWS CLI, most possibly due to permission issues
Reference from stack overflow here
@DingoEatingFuzz Is it possible for us to change the permission of the files & folders in that public S3 bucket? If permission is not the problem, how can we enable this?
[resolution] Karen will write a platform request to ask for a REST API to check what files are availabe in the S3 bucket
@stephenosserman has been exploring and wrangling our taxlot data in our housing-staging postgis db and been making some progress. So far I've I appended census-block to each lot for each year (1997-2017); standardized the taxlot-id format; and added an index here and there to make querying faster. I've also written the queries to identify most all changes from year to year -- including lot divisions, merger of multiple lots, changes in lot-id without lot geography changes, and (most) other boundary changes. I'm hoping all of this will make longitudinal analysis of taxlot data a lot easier and more accurate.
The brainstorm prompt: What analyses do you think we and/or future folks might want to run using this dataset? Context is that there are a bunch of possible table-structures I could imagine using for storing the complex taxlot changes dataset I'm pulling together. I'd like actual analyses that people might run in the future to inform which table structure(s) I go with. Specifically hoping to work backwards from potential analyses to pseudo-sql to see which approaches might be best combination of comprehensive, streamlined, and flexible. We have a few concrete uses for existing housing-team work this year which I'm thinking about, and I'll seed a thread with a few other ideas, but would love more ideas. Thx in advance!
some possible types of analyses to kick off brainstorming:
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.