Skip to main content
SimilarExport ZIP
100%

dboard2

✓ Published0🌍 Public
BBerangerIcart
Last edited Oct 10, 2022
Created on Oct 3, 2022
Forked from dboard

This interactive dashboard displays sales data through a bar chart, scatter plot, and donut chart. The bar chart aggregates sales by category, and clicking a bar filters the scatter plot and donut chart to show sub-category details. The scatter plot uses d3.scaleTime and d3.scaleLinear, while the donut chart uses d3.pie and d3.arc with an ordinal color scale. Data is loaded from a CSV using d3.csv, with SVG rendering and custom events for cross-filtering.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

dboard

This dashboard presents a multi-panel view of sales data from a CSV file, showing sales by category in a bar chart, a geographical map of the US, a time series scatter plot, and a donut chart of sub-category sales. The bar chart is interactive; clicking a category filters the accompanying charts and updates the donut chart, which is rendered using `d3.pie()`. The code employs D3 v6 functions like `d3.rollup` for data aggregation and `d3.axisBottom` for axes. Visual elements are drawn as SVG primitives, with interactions driven by mouse events and tooltips.

IIndira120
94% match
Loading thumbnail…

dboard

This dashboard displays a sales dataset across four synchronized visualizations: a scatter plot of sales over time, a bar chart of sales by sub-category, a geographic map of US sales, and a pie chart of sub-category proportions. Built with Vue, it uses D3 v6 APIs like `d3.scaleBand`, `d3.pie`, `d3.geoAlbersUsa`, and `d3.geoPath`, with data loaded via `d3.csv` from a local CSV file. Animations use `transition` calls, and all charts render as SVG.

JJuliette
90% match
Loading thumbnail…

dboard

This dashboard uses a Superstore sales dataset to display grouped bar charts of sales by sub-category. The visualization leverages D3 version 6 with the d3-array v2 module to group and stack data, rendering SVG bars with animations. The code uses `d3.group` to aggregate records and `d3.stack` for potential stacked series, with axes created via `d3.axisBottom` and `d3.axisLeft`. Moment.js assists with date handling, while the layout is built with a CSS grid containing four plot areas.

BBerangerIcart
90% match
Loading thumbnail…

dboard

The dashboard presents a multi-panel overview of sales data from a CSV file, showing a US map of state-level sales, a bar chart, a scatter plot, and a sub-category pie chart. It uses D3 v6 and Moment.js to parse dates, with SVG rendering and animated transitions for axes. The map is generated via `d3.geoPath` with a GeoAlbersUsa projection and a linear color scale, while the pie chart uses `d3.pie` and `d3.arc`. Tooltips display values on hover.

TTimothyMiage
90% match
Loading thumbnail…

dboard

The dashboard displays sales data from a CSV file, using a small multiple of four SVG plots to visualize metrics like order amounts by category, product, and region. The code leverages D3 version 6 to parse the data, scale axes, and render stacked bar charts, with a color palette distinguishing revenue segments. Tooltips are implemented via HTML elements, and the layout is managed through a CSS grid, while the chart dimensions and margins are explicitly defined in the JavaScript.

JJShellBach
89% match
Loading thumbnail…

dboard

The dashboard displays four interactive charts—a bar chart, line chart, scatter plot, and pie chart—built from a Superstore sales dataset. It visualizes metrics like sales by category, order trends over time, and product performance. The visualization uses D3.js v5 for data binding and SVG rendering, with Moment.js for date parsing. A tooltip appears on hover to show detailed values, driven by D3 event handlers. The layout is managed through a CSS grid, and the code imports the `select` function from D3 to manipulate the DOM.

PPLD3508A
89% match
Loading thumbnail…

dboard

This dashboard presents a multi-panel visualization of Superstore sales data, showing a US map, bar chart, scatter plot, and pie chart. It uses D3.js v6 with SVG rendering and animations. The scatter plot maps product sales over time, colored by sub-category, while the pie chart displays sales distribution by sub-category with interactive tooltips. The visualization loads GeoJSON for the US map and CSV data for all charts, using `d3.geoPath` for the map and `d3.pie` for the donut chart.

PPLD3508A
89% match
Loading thumbnail…

dboard

This dashboard example, built with Vue and D3 v4, presents multiple data visualizations from a CSV file of sales records. The primary chart is a stacked bar chart that breaks down sales by product category, using a color-coded system to distinguish between subgroups. It imports specific D3 functions like `csv`, `scaleBand`, and `scaleLinear` to parse the data and construct the SVG-based charts. The interface uses a CSS grid to arrange four distinct visualization panels, with a tooltip element prepared for interactive data exploration.

BBaptisteJarry
88% match