Water-Capture-by-Method
OpenML dataset with id 43583
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102408/Water-Capture-by-Method.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 7 (numeric: 6, symbolic: 0 and in total binary: 0 )
Number of instances: 296
Number of instances with missing values: 0
Number of missing values: 0
Context Though it doesn't rain often in Los Angeles, the city has various means of capturing rainfall to increase our local water supply. This dataset shows how much water we've capturing cumulatively this season as well as today. Content Each row in this dataset corresponds to a datetime at which a measurement was made. Measurements include water captured in rain barrels and cisterns, incidental capture, green infrastructure capture, etc. For more details, click the "Data" tab of this dataset. Methods This dataset was created using Kaggle's API from this dataset on the City of LA's open data portal: curl -o los_angeles_water_capture.csv https://data.lacity.org/resource/bnhe-q7a5.csv kaggle datasets init -p . kaggle datasets create -p . Inspiration
How much does it rain in Los Angeles?
Where does the most rain capture come from?
This page was built for dataset: Water-Capture-by-Method
