Reusable_Scatter Plot

100%

Reusable_Scatter Plot

✓ Published0🌍 Public

Last edited Mar 28, 2024

Created on Mar 28, 2024

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of Rahul-scatter

This example visualizes car sales across three years (2019–2021) as a responsive scatter plot, comparing 2021 sales on the x-axis against 2019 sales on the y-axis. The plot cycles through each year’s sales data every two seconds, updating the x-axis scale and circle positions accordingly. Using D3 v6, the code builds SVG circles and axes with `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. Data is loaded from a remote CSV via `d3.csv` and parsed with custom row logic. The visualization dynamically resizes to 80% of the viewport dimensions, with circles styled via the `join` pattern and animated through repeated `setInterval` calls.

Ppmbhupathibalu@gmail.com

87% match

Loading thumbnail…

ICE 7_Reusable scatter plot

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.

RRahulbelede97@gmail.com

87% match

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…

Car sale Analyis

This interactive 3D scatter plot visualizes car sales data across three consecutive years (year20, year21, year22) as points in three-dimensional space. Each marker’s position corresponds to a vehicle’s metrics in those years, colored blue with black outlines and 0.8 opacity. The visualization uses the Plotly JavaScript library (via `plotly-2.9.0.min.js`) and loads CSV data through d3.csv from a GitHub gist. The code defines a scatter3d trace with explicit axis titles, then renders it into a div using `Plotly.newPlot`.

Hharika-1929

81% match

Loading thumbnail…

Reusable Scatter plot

This reusable scatter plot visualizes car horsepower, miles per gallon, cylinder count, and displacement from a CSV dataset, animating through these columns every second. Built with D3 v6, it uses a custom `scatterPlot` function with `scaleLinear`, `scaleOrdinal`, `axisLeft`, and `axisBottom` to render SVG marks. Data points appear as distinct symbols and colors, with axes and labels updating dynamically via `setInterval` and the `svg.call(plot)` pattern.

NNanditha Reddy

79% match

Loading thumbnail…

3D Scatter Plot

This example visualizes monthly vehicle sales as a 3D scatter plot, comparing new and used sales volumes across two overlapping marker groups. The first trace plots New, Used, and Total Sales New; the second plots New, Total Sales New, and Total Sales Used, with gray and blue markers for contrast. Data is loaded from a CSV file using d3.csv, then rendered through Plotly’s scatter3d type with configurable marker size, opacity, and line styling. The layout removes all margins to maximize the plot area.

Vvagdevi-369

78% match

Loading thumbnail…

Car Sales

This line chart shows car sales by year from 2013 to 2021, with the years on the x-axis and total sales on the y-axis. The SVG rendering uses D3 v5’s `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` generator with data loaded via `csv` from a GitHub gist. The chart includes gridlines from tick marks, rotated axis labels, and a red path for the trend line.

JJyothicherukuri

78% match

Loading thumbnail…

Fork of reusable scatter

This visualization shows the trend of automobile sales in India over a ten-year period using a combined line and area chart. The chart emphasizes the sales trajectory with a smooth curve, filling the area beneath the line to highlight the magnitude of change over time. Built with D3 v5, it uses `scaleTime` and `scaleLinear` for the axes, `line` and `area` generators with `curveBasis` for smooth rendering, and parses the data from a CSV file. The SVG output includes styled axes and gridlines via `axisBottom` and `axisLeft`.

Ttejasrikotipalli1@gmail.com

78% match