Apple stock

100%

✓ Published0🌍 Public

Last edited May 11, 2026

Created on Mar 28, 2026

This visualization presents Apple Inc.'s (AAPL) stock data through a series of interactive charts built using ECharts 5.4.3. The primary line chart displays monthly closing prices, while additional views show quarterly average trading volumes, annual OHLC candlestick patterns, and a histogram of daily returns distribution. The data is loaded from a static CSV file containing historical prices and volumes. Each chart employs ECharts' API for tooltips, axis formatting, and color-coded styling, with the candlestick chart using ECharts' series type 'candlestick' and the histogram using 'bar' series with custom color thresholds.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Apple Stock assign

This example presents four interactive ECharts visualizations of Apple stock data from aapl_historical_data.csv. A monthly line chart shows closing prices with a dashed average line and smooth curve. A quarterly bar chart displays average daily volume, using color to highlight high-volume periods. An annual candlestick chart depicts open, high, low, and close prices using ECharts' candlestick series type. A histogram reveals the distribution of daily returns, binned at 0.5% intervals. Each chart parses the CSV via JavaScript's `fetch` and uses ECharts 5.4.3 with custom tooltips and axis formatting.

Yyinyiwen3589@gmail.com

88% match

Loading thumbnail…

Apple Stock

A monthly line chart shows Apple’s closing stock price over time, reducing daily records to one point per month. It reads a CSV with historical prices via `fetch`, parses dates and dollar-prefixed values, and groups rows by year-month to retain the last closing price. Rendered with ECharts 5.4.3, the chart includes a smooth line, hover tooltips, a translucent area fill, and a dashed orange line marking the average price.

Yyinyiwen3589@gmail.com

86% match

Loading thumbnail…

Apple Stock2

This interactive dashboard displays Apple stock data across four switchable chart panels: a monthly close price line chart, a volume bar chart, a candlestick chart, and a histogram. The React application uses the ECharts library to render each panel from a parsed CSV file containing date, price, volume, and OHLC values. The interface provides a tabbed layout for switching between chart types, with all visuals updating from the same underlying dataset.

Yyinyiwen3589@gmail.com

82% match

Loading thumbnail…

AAPL Stock Price

This scatter plot visualizes the daily closing price of Apple stock (AAPL) from December 2019 to March 2020, sourced from SEC filings. The visualization encodes each trading day as a steelblue circle, with the x-axis representing time and the y-axis representing price in dollars, revealing price fluctuations over the period. Built with D3 v5, the chart uses `svg` rendering with `scaleTime` and `scaleLinear` for axes, `axisBottom` and `axisLeft` for tick marks, and includes interactive tooltips that display the exact closing price on mouseover. The data is loaded from a local CSV file, and the chart title and axis labels are styled using Garamond font from the accompanying stylesheet.

Eemberix@gmail.com

82% match

Loading thumbnail…

Apple stock price display

A line chart displays Apple stock prices over time, using a red-to-green gradient to encode the value range from low to high. The chart includes axes for dates and price, plus an interactive tooltip that appears on mouseover, showing the precise price at the cursor position via a circle marker and text label. The visualization is built with D3 v4, using `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, and `d3.bisector` for hover detection. Data comes from a CSV file loaded with `d3.csv`, and the SVG rendering includes a linear gradient defined with `linearGradient`.

AAdvait Maduskar

79% match

Loading thumbnail…

Temperature Visualization

This visualization shows Apple’s daily stock price over roughly four months as a line chart, with the close price tracked across time from mid-August to late November 2012. The line captures both the overall upward trend in early September and the sharp decline in late October, illustrating volatility over the period. The chart is rendered with D3 v4 using SVG, reading data from a CSV file that includes date, open, high, low, close, and volume fields. While titled "Temperature Visualization," the visualization actually plots the closing price of AAPL stock, encoding time along the x-axis and price along the y-axis.

FFanYang715

78% match

Loading thumbnail…

Gist 6285682

This simple line chart shows the daily closing price of Apple (AAPL) stock from late 2011 to mid-2012, with each trading day plotted in chronological order. The visualization uses a conventional margin layout with axes rendered via SVG, leveraging D3's time scale for the x-axis and a linear scale for price on the y-axis. The line is drawn using d3.svg.line, with the data loaded from a TSV file and parsed using d3.tsv and d3.time.format. The chart uses d3.extent to automatically compute the domain from the date and price values, and displays axes with d3.svg.axis for clear temporal and price reference. The result is a clean, minimal line chart showing the stock's trajectory over the period, demonstrating D3's data-joining and scalable vector graphics capabilities in a straightforward time-series context.

11wheel

78% match

Loading thumbnail…

Stock price display - Apple

This example shows the historical stock price of Apple as a line chart, with a vertical gradient stroke transitioning from red (low values) to green (high values). It includes interactive hover functionality: moving the mouse over the chart reveals a black circle marker and a text label displaying the exact price at the nearest data point. The visualization is built using D3.js v4, leverages SVG for rendering, and uses `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, and `d3.axisBottom`/`d3.axisLeft` for axes. Data is loaded from a CSV file containing date and price columns, and the chart uses a bisector for efficient nearest-point lookup during mouse movement.

TToly

78% match