chart

project task1

This interactive bar chart visualizes the distribution of order counts by state, using D3.js v7 to render SVG bars sorted in descending order. The code loads CSV data, aggregates counts per state with a reduce operation, and displays axes with rotated state labels for readability. Users can observe the relative frequency of orders across different states, with the bar height encoding the total count for each location. The visualization employs d3.scaleBand, d3.scaleLinear, and d3.axisBottom to create the chart, which reads from a local OrdersCleaned.csv dataset.

84% match

project

This bar chart displays the number of e-commerce healthcare orders for each state, sorted from highest to lowest count. Built with D3 v6, it loads data from a GitHub gist via `d3.csv`, groups records by state, and renders the result as an SVG using `d3.scaleBand` and `d3.scaleLinear` for the axes and bars. The x-axis labels are rotated 45 degrees for readability.

81% match

project task1

A bar chart displays the number of e-commerce healthcare orders for each state, sorted in descending order to highlight the states with the highest order counts. The visualization uses D3 v6 to load a CSV dataset from a GitHub gist, roll up the records by state, and render an SVG with an X and Y axis. Data processing relies on `d3.rollups`, `d3.descending`, and scaling via `d3.scaleBand` and `d3.scaleLinear`, while the bars are created with `d3.selectAll(...).join("rect")`. State labels are rotated for readability on the axis.

79% match

pj

This bar chart displays the number of orders for each U.S. state, using a vertical bar for every state with the height proportional to its order count. The chart is rendered as an SVG, with state labels rotated 45 degrees for readability. It loads data from a JSON file using `d3.json` and constructs the visualization with D3 v6 APIs including `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft`. The bars are colored a teal-green (`#69b3a2`) and styled via a CSS class.

79% match

Prjct

This example presents four coordinated visualizations of order data, including a bar chart of order counts by state, a line chart of total sales over time, and a histogram of order totals. It uses D3.js v7 to load a CSV file from GitHub and render the charts as SVGs. The code employs D3's `rollup` function for grouping and aggregation, `scaleBand`, `scaleLinear`, and `scaleTime` for axes, and `bin` for histogram creation, with interactive hover effects applied to bars.

bar chart

This bar chart visualizes the VALUE column (counts of facilities) for nine U.S. states from a CSV data file, with states on the y-axis and values on the x-axis. Using D3 v5, the code employs `d3.scaleLinear` and `d3.scaleBand` to map data, and renders the chart as SVG rectangles. A bottom axis is generated via `d3.axisBottom`, and the chart uses the first color from a predefined color array. The data is loaded asynchronously with `d3.csv` and parsed to numeric values.

GGlenn Henshaw

bar chart

This example shows a horizontal bar chart comparing the VALUE of an unspecified indicator across several US states, with each bar labeled by state name. It loads data from a CSV file and uses D3 v5’s `scaleLinear` and `scaleBand` to map values and state categories to SVG rectangles. The chart renders with green bars, and an axis is generated using `d3.axisBottom`. The SVG output is driven by D3 selections and a simple data-join pattern.

GGlenn Henshaw

Prjct1

This example demonstrates multiple D3.js visualizations of cleaned online order data, including a bar chart of order counts by state, a line chart tracking total sales over time, a histogram of order totals, and a status count breakdown. The code loads a CSV from GitHub using `d3.csv`, transforms the data with `d3.rollup` and `d3.sum`, and renders each chart as SVG. It uses D3 v7 scales, axes, and line/band generators, with hover effects on bars and custom labels for improved readability.