dssg / 411-on-311 Goto Github PK
View Code? Open in Web Editor NEWExploratory analysis and predictive models of how Chicago's neighborhoods interact with the City's 311 service requests.
Home Page: dssg.io/projects#311
Exploratory analysis and predictive models of how Chicago's neighborhoods interact with the City's 311 service requests.
Home Page: dssg.io/projects#311
I now have a data extract from the Data Ferrett with both census tract and block group level data. Plan is to adapt Nick Mader's Stata code to R and provide useful variable labels and organization.
So that we don't have to choose cutoffs that are quite so arbitrary
webapp
, database
, and models
.data
or database
folder, provide a way to re-create your database from scratch. .sql
files are often appropriate for this.Make the existing code working on EC2 (upload open portal 311 tables and make paths absolute)
They're a mess.
Should be finished today.
Homepage
Intro: have a sentence or two about the project: the problems its solving, the partner, and how you're solving it. Also say that "this wiki is the central place to learn about the social problem we worked on, the data we used, the methods we used to solve it, and our findings" so people know what they're looking at.
List of pages in the wiki
Problem
An in-depth description of the problem your organization, the problem you're trying to solve, and any relevant domain knowledge. Feel free to copy from blog posts and posters, if relevant.
Data
Describe the dataset(s) you used in the project as well as your database. Walk people through the data model (tables are handy for this), and include a (fake) sample of each dataset.
If you scraped data, this is the place to document that.
Methodology
An in-depth, technical write up of the method(s) you used on your projects. Use latex equation, walk people through algorithms and models, link out to relevant documentation when possible.
Results
Discuss what metrics you're using to evaluate performance (if applicable), and what your final findings where.
Future work
Discuss what you would like to do / what is in progress.
Analysis
If you did exploratory data analysis, this is the place to put it and explain your findings. Explain each finding and what your learned from it / how it motivated the methods you used. Put this between the "Data" and "Methodology" sections. Feel free to lift content from relevant blog posts, if any.
Resources
Resources for domain knowledge, methods, and tech. Whatever pieces of paper you used to learn what you know.
Tool
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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.