ICE 7 Reusable D3 Scatter Plot

100%

ICE 7 Reusable D3 Scatter Plot

✓ Published0🌍 Public

Last edited Mar 28, 2024

Created on Mar 28, 2024

This example presents a reusable scatter plot of COVID-19 data, mapping countries along the x-axis and death counts along the y-axis. It utilizes the D3.js library (v7) within an SVG rendering context, demonstrating a modular component pattern via the `scatterPlot()` function. The main script asynchronously loads a CSV dataset using `d3.csv`, parses death values as numbers, and then invokes the chart with configurable accessors, margins, and point size. The visualization adapts to the full browser window by setting its width and height from `window.innerWidth` and `window.innerHeight`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of ICE-7 : Reusable Scatter Plot

This example visualizes COVID-19 data by plotting countries against death counts using a reusable scatter plot. It employs D3 v6 to load CSV data, scale axes with `scaleLinear`, and render marks via `symbol` and `symbols` for varied point shapes. The chart’s axes are generated with `axisLeft` and `axisBottom`, while margins and dimensions are configured through a custom `scatterPlot` function. The visualization is built with SVG, and the `d3.csv` module fetches the dataset from a remote URL. The code demonstrates a modular pattern where the plot function accepts configurable accessors for x, y, and symbol values, making it reusable.

MM Hema

90% match

Loading thumbnail…

Fork of ICE-7 : Reusable Scatter Plot

This scatter plot visualizes COVID-19 total cases against total deaths, with each country represented by a symbol scaled according to a 100-pixel size. The visualization uses D3 v7’s `scaleLinear`, `scaleOrdinal`, `symbol`, and `axisLeft`/`axisBottom` APIs to render SVG marks and axes. Data loads from a GitHub-hosted CSV via `d3.csv`, with margins and dimensions set dynamically to the window size. The reusable `scatterPlot` function exposes configuration methods for data, value accessors, and dimensions.

MM Hema

90% match

Loading thumbnail…

Fork of ICE-7 : Reusable Scatter Plot

This visualization uses D3 to render a reusable scatter plot of COVID-19 data, plotting each country’s population against itself while encoding the dataset’s SkinThickness column through symbol shapes. The chart displays axes for both variables, with points positioned using `scaleLinear` and `extent` for domains. The code relies on `d3.scaleOrdinal` to map symbol types and `d3.symbol` to generate the path data, while `axisLeft` and `axisBottom` add the scales. Data is loaded as CSV via `d3.csv`, and the plot is rendered as SVG with a custom margin and size configuration.

MM Hema

88% match

Loading thumbnail…

ice7

This visualization displays COVID-19 data as a scatterplot, plotting countries along the x-axis against their total case counts on the y-axis. It uses D3.js to load the CSV dataset, create SVG circles for each data point, and render axes with labels. The implementation relies on `scaleLinear` and `extent` for scaling, while the `observeResize` utility handles responsive dimensions. A separate `viz` module, built with D3’s `axisLeft` and custom axis helpers, manages the chart’s inner rendering, including a background rectangle and semi-transparent circles, with data sourced from a remote CSV file.

MM Hema

86% 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

83% match

Loading thumbnail…

Fork of ICE-7 : Reusable Scatter Plot

This example visualizes diabetes-related health metrics in a responsive scatter plot, mapping pregnancies on the x-axis, glucose levels on the y-axis, and varying symbol shapes based on skin thickness. It uses d3.scaleLinear, d3.scaleOrdinal, d3.axisLeft, d3.axisBottom, d3.symbols, and d3.symbol to generate SVG marks. The reusable chart function supports custom accessors, margins, and symbol size, drawing data from a CSV of diabetes records. The plot fills the browser window with hidden scrollbars and large axis tick text.

MM Hema

82% match

Loading thumbnail…

ICE-7 snehith Part-2

This pie chart visualizes COVID-19 death counts by country. The D3 v5 code loads a CSV dataset from a GitHub gist, then uses `d3.pie` and `d3.arc` to generate sliced paths, with `d3.scaleOrdinal` providing categorical colors. Each slice is labeled with its country name, and a legend built from SVG rectangles and text identifies color mappings. The chart is rendered as an SVG with a fixed width and height, positioned centrally within the container.

Ssai snehith nadipally

82% match

Loading thumbnail…

ICE7 - Reusable Scatter Plot

This interactive scatter plot, built with D3.js, visualizes weather data from a CSV file, mapping variables like Visibility, Temperature, and Humidity to the x- and y-axes. The chart is reusable, designed with a modular `scatterPlot` function that configures scales, axes, and circle radii. It animates by cycling through different x-axis variables every two seconds, using `setInterval` to update the plot. The SVG rendering includes clear axis labels and a custom font, drawing from the Iris Dataset for demonstration.

Ttrivikramcheluri@gmail.com

82% match