Uber-and-Lyft-Dataset-Boston-MA
OpenML dataset with id 43706
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102531/Uber-and-Lyft-Dataset-Boston-MA.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 56 (numeric: 46, symbolic: 0 and in total binary: 0 )
Number of instances: 693,071
Number of instances with missing values: 55,095
Number of missing values: 55,095
Uber vs Lyft
This is a very beginner-friendly dataset. It does contain a lot of NA values. It is a good dataset if you want to use a Linear Regression Model to see the pattern between different predectors such as hour and price.
A really amazing part of this dataset is that I have included the corresponding weather data for that hour with a short summary of the weather. Other important factors are temperature, wind, and sunset.
This page was built for dataset: Uber-and-Lyft-Dataset-Boston-MA