This is part of an exploratory visualization project looking at the time of day use patterns and the relationship between the number of users and quantitative weather attributes (temperature, humidity and windspeed).
This data set contains the number of bike share system users (casual and registered) for each day (and hour) for two years (Jan 2011 - Dec 2012), as well as the day type (holiday, workingday), weather situation, temperature and humidity, apparent temperature and windspeed.
This data is from UCI Machine Learning Repository: Bike Sharing Data Set
The dataset file can be found here as a zip archive.
Daily Data Block Summary Hourly Data Block Summary
Originally forked from curran's block: Line Chart of Temperature
Draws code from Scott Judson's blocks including:
https://d3js.org/d3.v4.min.js