Skip to main content
SimilarExport ZIP
100%

ICE 7_Reusable scatter plot

✓ Published0🌍 Public
RRahulbelede97@gmail.com
Last edited Mar 28, 2024
Created on Mar 28, 2024

A reusable scatter plot built with D3 v6 visualizes car sales across three years (2019–2021). The SVG chart maps 2021 sales to the x-axis and 2019 sales to the y-axis, with each circle representing a car type. Every two seconds, the x-axis animates to a different year's sales data, cycling through 2019, 2020, and 2021, while the y-axis remains fixed. The visualization uses responsive sizing and smooth transitions, making it a clear example of an animated, reusable D3 chart component.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot - ICE6

This scatter plot shows car sales in 2019 against 2021, with each circle representing a car model type. It reveals a positive trend, as most points cluster above the diagonal, indicating higher sales in 2021. The visualization loads CSV data from a GitHub gist using D3’s `csv` parser, then uses `scaleLinear` and `axisBottom`/`axisLeft` to render the axes. React manages the component state, while D3 selects and updates the SVG circles via `join('circle')`. The chart is drawn with D3 v5 and rendered through React 16.

RRahulbelede97@gmail.com
87% match
Loading thumbnail…

Reusable_Scatter Plot

This example shows how sales in 2019 relate to sales in 2021 for different car types, with each circle’s position encoding the two years’ values. The chart animates every two seconds, cycling the x-axis through 2019, 2020, and 2021 sales while keeping the y-axis fixed on 2019. The reusable scatter plot is built with D3 v6, using `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes, and SVG circles with a radius of 5 pixels. Data is loaded from a CSV via `d3.csv`, and the plot’s dimensions adapt to the window size.

RRahulbelede97@gmail.com
87% match
Loading thumbnail…

ICE-reusable scatter

This example demonstrates a reusable scatter plot implemented with D3.js, visualizing a used car dataset. It plots selling price against various attributes—max power, kilometers driven, mileage, or selling price—which rotate automatically every two seconds. Each point is color-coded by car status (sold in green, unsold in red) with a legend. The chart leverages D3’s `scaleLinear`, `axisLeft`, `axisBottom`, and `csv` APIs, and uses SVG rendering with animated transitions between attribute axes.

RRaajithaSabbineni
86% match
Loading thumbnail…

ICE7 Reusable scatter plot

This interactive scatter plot visualizes automotive data, cycling through four variables—mileage, engine size, car age, and horsepower—on the x-axis every two seconds. Built with D3.js, the chart uses the `scaleLinear` and `extent` APIs to map data to coordinates, while `axisLeft` and `axisBottom` render axes. The SVG rendering is animated via `setInterval`, and the reusable `scatterPlot` component accepts configurable width, height, margins, and radius, demonstrating a modular chart design.

MM
85% match
Loading thumbnail…

ICE - 7 Reusable D3 Scatter Plot

This example shows a reusable scatter plot that displays sales figures over time, with each circle representing a data point. It uses D3.js version 7 to render the visualization as SVG elements, with a band scale on the x-axis for categorical years and a linear scale on the y-axis for continuous sales values. The code leverages `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft` to construct the axes, while interactive tooltips appear on mouseover using D3 event handlers. Data is loaded from a CSV file using `d3.csv`, and the plot includes animated transitions for tooltip visibility.

Yyvarshachowdary@gmail.com
85% match
Loading thumbnail…

ICE-7 Reusable Scatterplot

This reusable scatter plot, built with D3.js, visualizes the cars dataset, plotting Mileage on the x-axis and Price on the y-axis, with each point colored by car brand (Honda, Mercedez, Ferrari). The chart includes labeled axes, a legend, and a title, all rendered as SVG. The visualization animates by cycling through the dataset's numeric columns (disp, Mileage, hp, Price) as the x-value every two seconds, demonstrating the chart's reusability through a configurable `scatterPlot` function that leverages D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs.

Mmanojgne
84% match
Loading thumbnail…

ICE-7

This animated scatter plot visualizes used car data, comparing selling price against various attributes including maximum power, mileage, and kilometers driven. The visualization cycles through different x-axis variables every two seconds, allowing viewers to explore correlations between car characteristics and market value. Built with D3.js, the chart uses a reusable scatter plot function with linear scales for both axes, implementing smooth transitions through a `setInterval` callback. The SVG rendering incorporates the Share Tech font and displays data points as circles, with axis labels updating dynamically to reflect the currently selected variable.

RRaajithaSabbineni
83% match
Loading thumbnail…

ICE_7_Line Chart

The chart displays car sales by type across three years (2019–2021), using three colored lines to compare yearly trends. It shows the sales values per car type on a band scale, with each line labeled at its endpoint. The visualization is built with D3 v7, using `d3.text` to load comma-separated data from a remote text file, then rendering SVG paths via `d3.line` with a monotone curve. Axes, labels, and a title are added using D3’s `axisBottom` and `axisLeft` methods, while the data source is a GitHub gist.

RRahulbelede97@gmail.com
83% match