{"repo":"MattTriano/analytics_data_where_house","free":true,"listed":false,"github":"https://github.com/MattTriano/analytics_data_where_house","clone":"git clone https://github.com/MattTriano/analytics_data_where_house.git","description":"An analytics engineering sandbox focusing on real estates prices in Cook County, IL","language":"Python","stars":11,"topics":["airflow","data-engineering","data-pipelines","data-warehousing","dbt","elt","python","docker","mkdocs-material","open-source"],"license":"AGPL-3.0","category":"data-pipelines","readme_excerpt":"Analytics Data Where House Analytics Data Where House (or ADWH ) is a data engineering and analytics engineering project that implements an open-source modern data platform and analyzes public data related to the housing market in Cook County, Illinois. Motivation Creating value from data takes a lot of careful work. Failure to detect, understand, and address defects in a data set can mislead you into making bad decisions. Interactive notebooks make it easy for a data scientist to explore raw data, discover defects, and efficiently prototype code to clean and prepare data. However, the notebook's strength in the initial prototyping and exploration stage becomes a weakness if the work needs to be reproduced or updated, as a data scientist, engineer, or analyst would have to manually update or run the notebook and manually interpret any data quality or validation checks performed in the notebook. Manually updating and rerunning notebooks consumes time that a scientist or engineer could spend answering new questions and makes it possible that bugs will be introduced or upstream data issues will violate the assumptions built into analysis code, eating into (or potentially destroying) any value created. This system automates as much of that work as possible so that you can focus on answering new questions and build on the foundation provided by prior work. Additionally, Chicago and Cook County publish thousands of interesting data sets to their Socrata data portals, including a we","default_branch":null,"files":null,"tree":[],"storefront":"/r/MattTriano","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MattTriano/analytics_data_where_house/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}