This analysis can be observed in the uploaded notebook. Lines open Mon-Fri 9am-5.30pm. Rented house, in the zipcode area of the customer. The output of my association rules can be observed in associated jupyter notebook. The corresponding data visualizations can be observed in the uploaded jupyter notebook. The Caravan dataset (and the corresponding manuscript) are currently under revisions. The purpose of this repository is twofold: See "Extend Caravan" for a detailed description about how to extend Caravan to any new region/basin with the code provided in this repository. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com, Data Analytics | Artificial Intelligence | Data Visualization | Perspective | https://www.linkedin.com/in/tankahwang/. Users analyze, extract, customize and publish statistics. It has the same format as TICDATA2000.txt, only the target is missing. https://github.com/google/eng-edu/blob/main/ml/cc/exercises/linear_regression_with_a_real_dataset.ipynb The sociodemographic data is derived from zip codes. The data dictionary ([Web Link]) describes the variables used and their values. The first thing I'm going to do is make a copy of it as a tibble, then see what we've got. Insurance datasets - risk assessment & location data for accurate pricing Data Guide Insurance Data Guide > industry > Insurance Back Insurance Write profitable business with the most accurate location data for insurance Detect risk that others miss Pinpoint pockets of opportunity and better understand risk Provide accurate and competitive pricing It may be obtained from: https://www.kaggle.com/uciml/caravan-insurance-challenge It contains information on customers of an insurance company. All Rights Reserved,