Skip to main content
SimilarExport ZIP
100%

Fork of React & D3 Starter

✓ Published0🌍 Public
Kkarthikpavan1198@gmail.com
Last edited Mar 29, 2026
Created on Mar 29, 2026
Forked from React & D3 Starter

This multi-line chart from VizHub displays the growth of eight global digital platform categories from 2000 to 2022, with values read from a CSV file. The visualization uses D3.js v7 to create an SVG chart, employing `d3.scaleLinear` for both axes, `d3.axisBottom` and `d3.axisLeft` for ticks and grid lines, and `d3.line` to generate each trend path. Categorical color assignment through `d3.scaleOrdinal` distinguishes the platforms, while a custom legend maps each color to its category. The chart renders with a clean white background, rounded corners, and a drop shadow, presenting all lines on a single set of axes for direct comparison of growth trajectories across sectors.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of React & D3 Starter

This stacked area chart visualizes global entertainment industry revenue from 2000 to 2022 across eight sectors, including streaming, gaming, music, and live events. The SVG rendering uses D3 v7 with `d3.stack()` to layer the data series, `d3.area()` to generate the filled paths, and `d3.scaleOrdinal()` for color mapping. The chart includes axis labels, grid lines, and a legend, with data loaded from a CSV file via `d3.csv()`.

Kkarthikpavan1198@gmail.com
82% match
Loading thumbnail…

Fork of React & D3 Starter

This chart displays monthly sales data from a CSV file as a light-blue area chart with a blue line overlay, using an SVG rendered in D3 v7 within a static HTML page. The x-axis uses a point scale for months, while the y-axis employs a linear scale for sales values. The code constructs the chart with `d3.area` and `d3.line` generators, and configures axes using `d3.axisBottom` and `d3.axisLeft`. It reads the data asynchronously with `d3.csv`, then applies margins and transforms to position the visualization.

Ppvvaishnavi93@gmail.com
79% match
Loading thumbnail…

Fork of React & D3 Starter

A multi-line chart displays coffee shop performance over 150 days, tracking sales, profit, and customer counts as three colored paths (red, blue, green) against shared day and value axes. The example loads data from a CSV file using d3.csv, converts values to numbers, and renders the lines with d3.line, scaling positions with d3.scaleLinear and adding d3.axisBottom and d3.axisLeft. The visualization is built within a React component using refs and the d3-selection library, outputting to SVG.

Rrevanthdasari10@gmail.com
78% match
Loading thumbnail…

Fork of Fork of Hello VizHub(Activity6)

This chart visualizes population data from a CSV file hosted on GitHub for the year 2020, rendering 30 rows as bars. The example shows a React application that combines D3.js utilities, including `d3.csv` for data loading and custom axis components that leverage `xScale.ticks()` to generate tick marks. The implementation imports D3 directly from UNPKG and uses local ES6 modules for the axes and data-fetching hooks. The visualization uses green bar marks with styled CSS for tick lines and labels, demonstrating integration of D3 transforms and React rendering in a static visualization.

KKavyaEti
78% match
Loading thumbnail…

Fork of Fork of React & D3 Starter

This example displays a line chart of sales data from 2018 to 2021, rendered as a light blue area chart. It uses D3 v7 APIs including `d3.scaleLinear`, `d3.extent`, `d3.axisBottom`, and `d3.area` to generate SVG paths inside a 600x400 viewport. The React integration is minimal, with a separate `index.jsx` file importing `select` from D3 to update a DOM element’s text content. The chart axes are drawn with default D3 ticks, and the area fill is hardcoded to `lightblue`.

Ppavanireddy03sai@gmail.com
78% match
Loading thumbnail…

Fork of React & D3 Vibecoding Starter

This interactive dashboard visualizes total traffic to twenty AI platforms from April 2024 to March 2025, distinguishing chatbots from search engines through color-coded bars. Users can filter by platform type, sort by visits or year-over-year change, limit displayed entries, and toggle YoY indicators. Built with React 18 and D3 v7, it renders SVG charts with animated transitions, featuring interactive tooltips, hover effects, and a reset button. Data loads from a local CSV file, while ResizeObserver handles responsive scaling of the visualization.

NNita
78% match
Loading thumbnail…

Fork of Fork of Fork of React & D3 Starter

A single-page visualization renders a small area chart of annual sales data from 2018 to 2021 using React and D3 v7. The SVG displays light-blue filled regions beneath a line, with linear scales mapping years to the x-axis and sales to the y-axis, plus bottom and left axes. The D3 code uses `d3.area`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft` within a React component that references a DOM node via `useRef`. A separate `index.jsx` demonstrates React and D3 integration with a simple text update.

Ppavanireddy03sai@gmail.com
77% match
Loading thumbnail…

Fork of React & D3 Starter

This visualization combines bars and lines to compare daily fitness metrics—calories burned, steps walked, and active minutes—across 150 days. It shows all three trends on a single SVG chart, with steps scaled down to fit the axis. The code uses D3 v7 APIs such as `scaleBand`, `scaleLinear`, `axisLeft`, and `d3.line` to render the chart, while React handles the page setup. Data comes from a CSV file loaded via `d3.csv`, and the rendering uses SVG elements like `rect` and `path`.

Kkarthikpavan1198@gmail.com
77% match