Skip to main content
SimilarExport ZIP
100%

Fork of Fork of third

✓ Published0🌍 Public
Mmsahithipatel@gmail.com
Last edited Oct 28, 2025
Created on Oct 28, 2025
Forked from Fork of third

A line chart displays average monthly temperatures from 2021 to 2024, with time on the x-axis and degrees Celsius on the y-axis. The code loads a local CSV file using `d3.csv`, parses dates with `d3.timeParse`, and builds the visualization with D3 v7. The chart uses `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.curveMonotoneX` for a smooth line, and `d3.axisBottom` and `d3.axisLeft` for tick labels. Orange circles mark each data point with a hover tooltip.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of third

A line chart displays average monthly temperatures from 2021 to 2024, with the x-axis encoding month-year and the y-axis temperature in degrees Celsius. The visualization uses D3 v7 with SVG rendering, employing `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to construct the axes, and `d3.line` with `curveMonotoneX` to draw the smoothed path. Orange circles mark individual data points, and tooltips appear via SVG `title` elements, all sourced from an external CSV file.

Mmsahithipatel@gmail.com
96% match
Loading thumbnail…

third

This visualization shows the average monthly temperature from January 2021 through December 2024, with the x-axis displaying month-year labels and the y-axis measuring temperature in degrees Celsius. A blue line connects the data points, while orange circles mark each measurement and provide hover tooltips with the exact value. The chart uses D3 v7’s `d3.csv`, `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to parse the external CSV file and render the SVG line chart. The dataset reveals a consistent seasonal pattern across all four years, with warmer temperatures peaking in June and July.

Mmsahithipatel@gmail.com
84% match
Loading thumbnail…

Fork of LineChart

This fork of a D3.js line chart visualizes San Francisco's average daily temperature for December 2020 using a time-series dataset of day and temperature values. The chart renders an SVG with a smoothed basis curve line, a titled plot area, and labeled axes for date and temperature. The code leverages D3 v5 APIs including `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, `line`, and `curveBasis`, along with the `csv` loader to parse the data file, which is then converted to date and numeric types before rendering.

Aavvarijayakrishna99@gmail.com
83% match
Loading thumbnail…

Fork of Line chart

This fork of a line chart displays daily temperature readings across multiple districts over time, with each district assigned a distinct color from a categorical scale and identified via a custom color legend. The visualization uses D3 v5’s `scaleTime`, `scaleLinear`, `line` generator with `curveBasis`, and `nest` to group data by district, while parsing dates with Day.js and reading CSV input from a GitHub repository. Axes include grid lines and rotated labels, and the chart is rendered as an SVG with styled paths using mix-blend-mode for overlapping lines.

Vvidhyanamini
82% match
Loading thumbnail…

Fork of Fork of third

This line chart visualizes monthly sales growth from January 2021 to January 2025 using a smooth monotone curve. The SVG rendering relies on d3.scaleTime, d3.scaleLinear, d3.line with curveMonotoneX, and d3.axisBottom/axisLeft, with data loaded via d3.csv from sales_trend.csv. Orange circles mark individual data points, while labeled axes and a title clarify the upward trend.

119h61a05c9@cvsr.ac.in
82% match
Loading thumbnail…

Fork of Fork of fourth

This area chart displays monthly sales growth from January 2021 through January 2025, showing a steady upward trend in units sold. The D3.js v6 visualization uses `d3.area()` with `d3.curveMonotoneX` to render a smooth filled path, with lightsteelblue fill and steelblue stroke. The code loads data from a CSV file via `d3.csv()`, parses dates with `d3.timeParse()`, and constructs time and linear scales using `d3.scaleTime()` and `d3.scaleLinear()`. Grid lines are added through custom axis configurations, while rotated month labels and axis titles provide context. The SVG output includes a white background, rounded corners, and a subtle shadow effect.

119h61a05c9@cvsr.ac.in
82% match
Loading thumbnail…

Fork of Time line chart

This line chart visualizes temperature readings over time, with each data point marked by a circle and connected by a smooth natural curve. The visualization uses React components for rendering SVG elements, with D3 v5 functions like `scaleTime` and `scaleLinear` to map data to coordinates, and `curveNatural` to smooth the line. The chart includes labeled axes for time and temperature, with tick marks styled via CSS. The data is loaded from a CSV file of weekly San Francisco temperatures using D3's `csv` parser.

NNart Williamson
81% match
Loading thumbnail…

Fork of line chart

This fork of a line chart displays temperature readings for San Francisco over time, using an area path rendered by `d3.area` with a `curveBasis` to smooth the line. The visualization employs `d3.scaleTime` for the x-axis and `d3.scaleLinear` for the y-axis, with axes generated by `d3.axisBottom` and `d3.axisLeft`. Data loads from a CSV file via `d3.csv`, parsing timestamps and numeric temperatures. The chart includes labeled axes, a title, and grid lines styled with CSS within an SVG canvas.

Ttheaddies
81% match