Multi-Cryptocurrency Line Chart

stock

This visualization presents a comparative analysis of banking stock opening prices over time, with each stock plotted as a separate line chart arranged vertically. The animation begins by progressively drawing each line, then transitions to filled area charts beneath them, using a categorical color palette. Built with D3.js v3, the code employs `d3.svg.line` and `d3.svg.area` for the graphics, `d3.time.scale` for the date axis, and `d3.timer` for the animated draw sequence. Data is loaded from a CSV file containing stock symbols and their daily opening values.

77% match

Multi-Cryptocurrency Line Chart

This multi-cryptocurrency line chart visualizes the daily closing price of Bitcoin from 2013 to 2021, using a smooth curved line to show price trends over time. The chart includes labeled axes, gridlines, and a bold title, with data loaded from a CSV file hosted on GitHub. Built with D3 v6, the visualization uses `d3.csv`, `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line` with `curveBasis` to render the SVG path.

Iiamsravan

77% match

Line graph

A line graph displays daily high stock prices for CS Bank over time, with a red-to-green vertical gradient applied to the stroke. The chart includes labeled axes, a title, and a hover interaction that reveals the exact price at any point via a movable circle and text label. Built with React and D3.js v4, it loads CSV data from a GitHub gist, parses dates with `d3.timeParse`, and renders the line using `d3.line` with a `linearGradient` fill. Interactive tooltips rely on `d3.bisector` for nearest-date lookup.

77% match

stock

A multi-line chart animates banking stock prices over time, with each series plotted in its own horizontal band and labeled by symbol. The visualization first draws lines progressively using a `d3.timer`, then transitions into horizon charts by stacking filled areas with a `clipPath`. Data is loaded via `d3.csv` from a gist and parsed with `d3.time.format`. The SVG rendering uses `d3.svg.line`, `d3.svg.area`, and `d3.scale.linear` to map dates and prices, with color assigned by `d3.scale.category10`.

76% match

stock

This visualization animates the high prices of banking stocks over time, first drawing each stock’s line progressively, then transforming the chart into a horizon graph by stacking and compressing multiple area layers with distinct fill colors. It uses D3 v3’s `d3.svg.line`, `d3.svg.area`, and `d3.svg.axis` to render SVG paths, with transitions driven by `d3.timer` and `setTimeout`. Data is loaded from a CSV file via `d3.csv`, nested by symbol, and sorted by maximum price.

Fork of Bar Chart of Netflix stock data

This bar chart visualizes Yes Bank stock closing prices over time, with each bar’s height representing the daily close value. The visualization uses D3.js (v7) to load CSV data, set up SVG scales and axes, and render pink rectangles for each date. The code explicitly employs `d3.csv`, `d3.scaleBand`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`. Although the page loads React libraries, the chart itself is built purely with D3’s SVG elements—no React components manage the visualization.

HTML Starter

This example displays a multi-series line chart of stock data, plotting both opening and closing values over time as two distinct colored lines. The visualization uses D3 v4 with SVG rendering, employing `d3.line()` to generate the paths, `d3.scaleTime()` for the time-based x-axis, and `d3.scaleLinear()` for the y-axis. Data is loaded from a local CSV file via `d3.csv()`, with dates parsed using `d3.timeParse()`. The chart includes axes rendered through `d3.axisBottom()` and `d3.axisLeft()`, all styled with basic CSS classes.

Ttayyabanisar

Untitled

This interactive banking dashboard visualizes daily closing prices for multiple bank stocks over time, with a dropdown menu that filters the chart to show a single stock or all groups. The visualization uses React with D3 v4, rendering an SVG line chart with a time-scaled X-axis, linear Y-axis, and a categorical color scale from `d3-scale-chromatic`. Data is loaded from a CSV file, grouped with `d3.nest()`, and each stock’s price trend is drawn as a separate colored line. The interface includes a styled header and descriptive text about banking sector risks.