Fork of Bike Rental DataViz Humidity vs Temperature

100%

Fork of Bike Rental DataViz Humidity vs Temperature

✓ Published0🌍 Public

Last edited Mar 25, 2021

Created on Mar 25, 2021

Forked from Bike Rental DataViz Humidity vs Temperature

This bubble chart explores the relationship between humidity and temperature in bike-sharing usage, with circle size representing ride counts and color distinguishing weather conditions. It is built using the vega-lite-api framework, which renders the visualization through Vega-Lite and Vega with SVG output. The data is loaded from a CSV file hosted on GitHub containing daily weather and rental counts. The visualization reveals that ridership remains robust even at high temperatures, whereas increasing humidity correlates with declining bike usage, showing temperature tolerance is higher than humidity tolerance.

AI-generated description

A visualization constructed using the vega-lite-api. The data shown here comes from the Bike retal data set

Guiding question: Which factor between humidity and temperature matters the most to the bike rental? Will people ride on a burning hot day or a moist day?

This Viz is a realization of my third sketch on the Bike rental data set. This viz shows the relationship between humidity and temperature of a particular day. The total count of a specific day is correlated to the size of the circle. Different weather types are being differentiated using different colors. Both temperature and humidty are scaled between 0 to 1.

To answer my guiding question. It appears to be people are more tolerated to temperature then humidity. Days approaching the temperature of 0.9 still overserved many rides, but days with large humidity, we see a significant decrease in ride numbers. It could also because summer times with higher temperatures are more suitable for outdoor bike riding and rainy days are just not suitable for outdoor bike riding. Interestingly, in lower temperatures, people quit bike riding. But on a really dry day, people are still ok to do bike ridings.

MIT Licensed

Similar vizzes

Loading thumbnail…

Bike Rental DataViz Humidity vs Temperature

This visualization uses a scatterplot of humidity against temperature, with circle size encoding the total bike rental count and color distinguishing weather types. It reveals that higher humidity reduces rentals more sharply than high temperatures, while low temperatures also deter riders. The data comes from the Bike Rental dataset, processed via d3.csv. The chart is built with vega-lite-api, using vl.markCircle, vl.x, vl.y, vl.color, vl.size, and vl.tooltip, rendered through vega and vega-lite with d3 v5.

SStefanZhang

92% match

Loading thumbnail…

Bike Rental DataViz Humidity vs Temperature

This visualization uses the Bike Rental dataset to explore how humidity and temperature influence daily rental counts. It plots humidity against temperature, with circle size proportional to total rentals and colors distinguishing different weather cluster types. The chart reveals that rentals remain high even at temperatures near 0.9, while high humidity correlates with significantly fewer rides, suggesting temperature tolerance is greater than humidity tolerance. Built with the vega-lite-api library, it encodes the data using fieldQ scales and an opacity of 0.3 for circles, with customization via a config.js file and data loaded through d3.csv.

JJorge Emilio Zapata Godoy

92% match

Loading thumbnail…

Bike Rental DataViz using Vega-Lite API

This example visualizes daily bike rental counts across months, colored by weather condition, using a scatter plot with circle marks. It reveals higher rental volumes during warmer months (March–October) and notable drops during extreme weather events, especially in summer. The visualization is built with the Vega-Lite API, registered through Vega and Vega-Lite, and renders as SVG with tooltips powered by vega-tooltip. Data is loaded asynchronously from a CSV file via D3’s `csv` function, with custom axis and label styling defined in a separate configuration module.

SStefanZhang

82% match

Loading thumbnail…

Temperature Visualization

This interactive line chart uses the D3.js brush-and-zoom technique to explore hourly bike-sharing usage in Washington DC, highlighting how the number of users correlates with temperature. The visualization, built with D3 v4 and rendered as SVG, displays temperature as a colored line over a two-year period (2011-2012). Users can brush along the lower time-series context chart to select a time range, and the main panel zooms in to reveal finer-grained patterns. The chart is part of a broader exploratory project investigating relationships between rider counts and weather attributes like temperature, humidity, and windspeed. Data comes from the UCI Machine Learning Repository's Bike Sharing dataset, and the implementation builds on prior work by mbostock and curran, with the source code available under an MIT license.

663anp3ca

76% match

Loading thumbnail…

Fork of Humidity histogram

This example visualizes the distribution of humidity measurements from a 2016 weather dataset as a histogram. The chart displays twelve bins of humidity ranges on the x-axis, with the count of days in each bin represented by the height of blue bars. A dashed maroon line marks the mean humidity value. The visualization is built with React and D3 v5, using `d3.histogram()` to generate bins and `d3.scaleLinear()` to map data to SVG coordinates. The code also implements accessibility features, adding ARIA roles and labels to chart elements.

Vvipin kumar paikra

72% match

Loading thumbnail…

Vega-Lite API Template 6

This interactive scatter plot visualizes the relationship between temperature (T) and relative humidity (RH) from the UCI Air Quality dataset, rendering thousands of overlapping semi-transparent points to reveal density patterns. Built entirely with the Vega-Lite API, the visualization uses `vl.markCircle` and encodes quantitative axes with configurable scales. The code imports data via D3's `csv` method, then renders the chart using Vega and Vega-Lite engines with an SVG renderer and tooltip support, while custom configuration adjusts axis styling and typography for readability.

OOleJRask

71% match

Loading thumbnail…

Fork of Humidity histogram

This histogram visualizes the distribution of daily humidity levels from the my_weather_data.json dataset. The chart uses D3 v5’s `d3.histogram` and `d3.scaleLinear` to bin humidity values into four bars, with a dashed maroon line marking the mean. Bar heights and count labels are rendered as SVG rectangles and text, while the x-axis is generated with `d3.axisBottom`. The code also adds accessibility features via ARIA roles and labels on the SVG elements.

Yyuli19991001

71% match

Loading thumbnail…

Bike

This interactive visualization displays bike ride data as an arc diagram, with each arc representing a ride type. Users can filter the data by year and membership type using dropdown menus, which updates the visualization dynamically. The chart is built using Vega-Lite API within a React framework, with Vega and Vega-Lite handling the rendering. Data is loaded from a CSV file using D3’s `csv` function, and the visualization computes quantitative theta values from the ride type field, encoding color by the same nominal attribute.

SSamir Nandardhane

71% match