100%

Fork of CV: Loading CSV Data

✓ Published0🌍 Public

Last edited Nov 28, 2025

Created on Nov 28, 2025

This visualization presents daily birth statistics for January–February 2024 as an interactive heatmap, using a viridis color scale to encode birth counts across days of the week and weeks of the month. Hovering highlights individual cells and displays a tooltip with the exact date and birth count, while a stats panel shows peak, minimum, and average values. Built with React and D3 v7, it uses `d3.csv` to load the data, `scaleSequential` with `interpolateViridis` for coloring, and D3 selections with transitions for smooth hover effects and cell rendering.

AI-generated description

🍼 Birth Data Visualization 2024

An interactive D3.js visualization of daily birth statistics from January-February 2024.

Features

✨ Interactive Bubbles - Click to select, hover for details 🎨 Color Coding - Viridis color scale represents birth counts 📊 Live Statistics - See max, min, and average births at a glance 🎯 Responsive Design - Works on all screen sizes ✨ Smooth Animations - Fluid transitions and hover effects

How to Use

Hover over bubbles to see the exact date and birth count
Click on a bubble to highlight it in gold
Check the stats panel in the bottom right for aggregate data

Built with React, D3.js, and modern CSS gradients! 🚀

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of CV: Loading CSV Data

This visualization compares live birth counts across multiple years as a "Heartbeat Map," a radical circular layout where each year forms its own orbital system. Daily birth data from January and February of 2022–2024 is loaded via d3.csv, grouped by year, and rendered as SVG points whose distance from the center encodes intensity, colored with a muted grayscale scale. The React component uses a ResizeObserver to track container dimensions and re-renders the D3 visualization on data or hover changes, with SVG filters providing glow and pulse effects.

Cchynnerio@gmail.com

89% match

Loading thumbnail…

Fork of React Starter

An interactive circular heatmap visualizes daily birth counts for 2024, with colored dots orbiting a pulsing center circle. The visualization uses a D3.js v7 SVG animation to map birth data from a CSV file, encoding values through color gradients and glow effects. Hovering over data points reveals details via React state management, while CSS transitions and D3's ease functions create smooth orbital movement.

Cchynnerio@gmail.com

82% match

Loading thumbnail…

Fork of React Starter

Cchynnerio@gmail.com

82% match

Loading thumbnail…

Fork of React Starter

The visualization displays daily birth statistics for the year 2024 as a vibrant circular orbit of data points. Each point represents a day, with its distance from the center and color reflecting the number of births. The visualization renders using an HTML5 Canvas API with custom render functions, animating a pulsing central heartbeat. Hovering over a point triggers a tooltip with detailed information. The data is loaded from a CSV file and color-coded using a custom gradient scale.

Cchynnerio@gmail.com

80% match

Loading thumbnail…

Fork of HTML Starter

This horizontal bar chart visualizes the number of births across ten U.S. states, using a viridis color scale to encode magnitude. The chart displays the data as animated bars that grow from zero to their final width, with a color gradient legend beneath. Built with D3 v6, the visualization uses `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `interpolateViridis` for coloring. Hovering over a bar triggers a tooltip showing the state name and exact birth count. The underlying data comes from a CSV file containing state names and their corresponding birth statistics.

NNandini Maddula

78% match

Loading thumbnail…

Fork of #HAW: Birthday data viz

This fork of a "HAW: Birthday data viz" example presents daily birth counts across several years as a monthly line chart. A color-coded year selector lets the user switch between datasets, each rendered as a distinct colored line with a matching gradient area beneath it. The visualization is built with React for state and UI, while D3 v7 (via `csv`, `scaleTime`, `scaleLinear`, `line`, `axisBottom`, and `axisLeft`) handles data parsing and chart rendering. The code loads German-format dates from a CSV file, computes day-of-year values, and displays the time series on an SVG canvas with a dark theme.

Wwjo672@haw-hamburg.de

77% match

Loading thumbnail…

#HAW: Birthday data viz

This visualization displays average weekly birth counts for multiple years as circular, animated dot plots. Each year is represented by a separate radial chart, with dots positioned by day of year and distance from the center encoding weekly average birth count. Built with React and D3.js v7, the chart uses SVG filters for a gooey merging effect and transitions to animate dot positions. Hover interactions enlarge individual dots, and the data comes from a CSV file containing daily live birth statistics.

MMatthias Stahl

77% match

Loading thumbnail…

Fork of React & D3 Vibecoding Starter

This data-summary and preview dashboard combines a CSV data table with a simple categorical bar chart. Built with D3 v7, it loads a small dataset of twelve people with attributes like age, country, and favorite color using `d3.csv`. The interface shows key statistics, a preview of the first five rows in an HTML table, and a bar chart rendered as SVG. The chart visualizes the frequency of values within selected columns, offering a quick view of categorical distributions while the dark-themed layout presents all insights in one organized page.

RRithvik

76% match