Skip to main content
SimilarExport ZIP
100%

Fork of Reusable D3 Scatter Plot

✓ Published0🌍 Public
Nnagasai.mandalapu@gmail.com
Last edited Mar 28, 2024
Created on Mar 27, 2024

This fork of the reusable scatter plot visualizes average wage data by country, comparing annual values from 2000 to 2010. It employs a `d3.scaleBand` for the categorical x-axis and `d3.scaleLinear` for the continuous y-axis, with axes generated via `d3.axisBottom` and `d3.axisLeft`. Data is loaded asynchronously from a CSV using `d3.csv` and rendered as steelblue circles using SVG. The chart is structured as a reusable function with getter/setter methods for configuration, following the Towards Reusable Charts pattern.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example visualizes average wage trends across countries using an animated scatter plot built with D3 v6. It renders circles positioned by each country's first and last recorded wage values, with a y-axis using a band scale for country names and an x-axis linear scale for wages. The visualization updates every two seconds by randomizing data points, demonstrating reusable chart patterns through the custom `scatterPlot` function that leverages `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. Data comes from a CSV of country wage statistics, displayed as an SVG with smooth transitions between updates.

Mmukundakrishna.r@gmail.com
92% match
Loading thumbnail…

Fork of Scatter Plot

This scatter plot visualizes average wages across different countries for the year 2021, with each dot representing a nation’s wage value. The visualization uses D3.js v7 to render SVG elements, employing a linear x-scale for wage amounts and a point y-scale for country names. Data is loaded from a CSV file via `d3.csv`, then mapped to circle positions using the scales. The chart includes labeled axes for country and average wage, with hover effects changing dot color to orange.

Nnagasai.mandalapu@gmail.com
88% match
Loading thumbnail…

Fork of bar plot

A horizontal bar chart displays average wages across countries for 2022, using D3 v7 to load CSV data via `d3.csv` and render SVG elements. The chart encodes numeric values with `d3.scaleLinear` for the x-axis and categorical country names with `d3.scaleBand` for the y-axis. Bars appear in steelblue, turn orange on hover, and axes are formatted with `d3.axisBottom` and `d3.axisLeft`. The data comes from a remote gist URL, and styling is handled through CSS classes.

Nnagasai.mandalapu@gmail.com
84% match
Loading thumbnail…

Fork of ICE-7 Scatter plot

This animated scatter plot visualizes changes in average wages across countries over time, comparing each year’s values against the following year’s values in a sequence of transitions. The visualization cycles through data from 2000 to 2022, updating every three seconds. It uses D3.js v6 with SVG rendering, employing `d3.scaleLinear` for axes, `d3.scaleOrdinal` for country colors and year-based symbol shapes (circles, crosses, diamonds, and more), and `d3.axisBottom` and `d3.axisLeft` for grid lines. The code demonstrates a reusable chart pattern with configurable accessors and margins.

Nnagasai.mandalapu@gmail.com
83% match
Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This visualization combines a scatter plot with line charts to explore university rankings, plotting countries on a shared x-axis band scale and metrics like research environment, quality, and industry impact on a y-axis from 0 to 100. It renders red circles for student-to-staff ratios alongside steelblue line paths per university, using the D3 v6 APIs `scaleBand`, `scaleLinear`, `line`, `axisBottom`, and `axisLeft`. The data comes from a CSV of University Ranks, fetched via `d3.csv` and parsed with custom numeric conversions. The reusable `scatterPlot` module demonstrates a configurable chart factory pattern with setters for width, height, and value accessors.

Vvinodreddysagam929@gmail.com
80% match
Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This example demonstrates an animated, reusable D3 scatter plot built with the reusable chart pattern. It visualizes country-level time series data, plotting each country's values for two different years on the x and y axes, with circles positioned using linear and band scales. The chart updates every two seconds by randomizing one country's data, triggering a re-render to illustrate dynamic data binding and transitions. Rendered as SVG with axes and circles, it emphasizes the modularity of D3's data-join and the flexibility of reusable chart components.

Mmukundakrishna.r@gmail.com
80% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This animated scatter plot uses D3.js to visualize global population data, cycling through life expectancy, GDP per capita, population, and year on the x-axis every two seconds. The plot leverages `scaleLinear` for axes, animated circles with `attr`, and dynamic re-rendering via the `scatterPlot` component, which updates scales and axes through `svg.call()` as the x-value changes.

Ppavan vasamsetti
79% match
Loading thumbnail…

Fork of Fork of Fork of Fork to pie chart

This example visualizes stacked area chart data for total wages by country, showing how values change over time. The visualization uses D3.js v7 with an SVG rendering approach, fetching CSV data from a GitHub gist. The code employs `d3.area()` and `d3.stack()` to create the stacked areas, with `d3.scaleBand()` for the x-axis categories and `d3.scaleLinear()` for the y-axis scale. Color coding uses `d3.schemeCategory10` to distinguish each year's contribution to the total.

Mmukundakrishna.r@gmail.com
78% match