Code Monkey home page Code Monkey logo

corelogic-on-greatlakes's Introduction

corelogic-on-greatlakes

Documentation, How-tos, and example code for using Great Lakes to process U-M CoreLogic data.

Overview

This repository demonstrates a workflow for processing the CoreLogic Data on the Great Lakes (GL) cluster at the University of Michigan.

The repository is organized in several directories that each demo one step in the following workflow:

  • [intro-to-corelogic-data]: describes the CoreLogic data and how you can get access at the University of Michigan
  • [running-jupyter-spark-gl-ondemand]: describes how a user can start a Jupyter + Spark notebook in an Open on Demand session on the Great Lakes (GL) cluster
  • [processing-corelogic-using-pyspark]: demonstrates how the CoreLogic data can be processed (read, explore, filter, save/write) using PySpark
  • [github-and-greatlakes]: explains how a user can clone from/commit to a Github repository from their home directory on the Great Lakes (GL) cluster

corelogic-on-greatlakes's People

Contributors

juleka avatar arburksumich avatar

Watchers

Matt Britt avatar Brock Palen avatar avatar avatar

Forkers

aakhtari

corelogic-on-greatlakes's Issues

Data cleaning

  • how to remove non-numerical values from a string variable to convert it to type integer/double
  • how to remove rows with missing values
  • how to fill in rows with missing values based on information in other columns
  • how are the deeds, foreclosure and tax data different? linking the three files by parcel number to observe properties over time

Data analytics

  • plot histogram of mortgage, sale values
  • calculate total sales per state
  • total $ sales per state,
  • total $ sales per year
  • total transactions
  • total missing values
  • total rows with missing data
  • spatial and temporal coverage (state by year, county by year)
  • distribution over space and time (histograms?)
  • how are the deed, tax and foreclosure data different?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.