ICE-6

ICE-6 DV

This example displays a horizontal bar chart comparing the population of the first 20 U.S. states from a CSV dataset. Built with React and D3 v5, it uses `d3.csv` to load data, `scaleBand` for the y-axis categories, and `scaleLinear` for the x-axis values. The SVG rendering includes custom axis ticks and blue grid lines, with `rect` elements representing each state’s population.

91% match

ICE-6 DV

A horizontal bar chart displays the top 10 most populous US states, ranking them by their 2019 population values. The visualization loads data from a CSV file using `d3.csv`, then scales the bars with `d3.scaleBand` and `d3.scaleLinear`. The chart is built with React components and rendered as SVG, with axis ticks and grid lines generated manually from the scales. The interface includes a title and a loading state while data is being fetched.

90% match

ICE-6 Dv

This bar chart displays the top 10 U.S. states by population from the year 2000, using data loaded from a CSV file via `d3.csv`. The visualization, built with React hooks and D3, renders an SVG bar chart where each state’s population is positioned using `scaleBand` and `scaleLinear`, with axes labels and red gridlines generated from scale ticks.

ICE-6 DV

This visualization displays the top 10 most populous U.S. states as a horizontal bar chart, with state names on the y-axis and population values on the x-axis. It uses React for component structure and state management, while D3 v5 handles data loading via `d3.csv`, scales with `scaleBand` and `scaleLinear`, and renders the SVG bars and axes. The population data comes from a CSV file accessed through a GitHub gist, and the bars are drawn as SVG `<rect>` elements with gridlines generated from `xScale.ticks()`.

ICE6

This visualization shows the top 10 most populous US states as horizontal bars, with population values on the x-axis and state names on the y-axis. It uses React with hooks to manage state and D3’s `csv` to load data from a GitHub Gist. The bars and axes are rendered as SVG elements, with scales from `scaleBand` and `scaleLinear` positioning the rectangles, while custom tick marks and labels are drawn manually rather than using D3’s axis components.

SSai Bhavana Akkineni

Cchilukuritagore1427@gmail.com

ICE_6

This horizontal bar chart displays population estimates for a subset of US states using React and D3 v5. The visualization maps state names to the y-axis and population values to scaled bar widths on the x-axis. Population data is loaded from a CSV file via `d3.csv`, parsed with `parseInt`, and sliced to 11 records. The chart uses `d3.scaleBand` for categorical y-positions and `d3.scaleLinear` for quantitative scaling, with SVG `rect` marks for bars and manual axis tick rendering via `xScale.ticks()`.

ICE - 6 Bar Graph

The visualization displays a bar chart comparing the population of U.S. states, sourced from a CSV file. It uses React with D3 v5 to render SVG bars, where each bar’s height and color vary by population value. The code employs `d3.scaleBand` and `d3.scaleLinear` for axes, with `d3.axisBottom` and `d3.axisLeft` to generate the scales, and formats population values by stripping commas.

88% match