<iframe width="560" height="292" src="https://vizhub.com/blikitha/f111e8fa345c43fa9a6e6d45227a5024?mode=embed" title="Untitled" frameborder="0" ></iframe>

Untitled

This visualization displays a horizontal bar chart of the top 20 countries by COVID-19 case counts, using data from a CSV file loaded via d3.csv. The chart maps country names on a d3.scaleBand y-axis and case numbers on a d3.scaleLinear x-axis, with blue bars and gridlines rendered as SVG elements. The React component fetches the data asynchronously, parses numeric values, and uses d3’s max function to set the x-domain, while y-axis labels and ticks are manually positioned using SVG text and line elements.

93% match

Untitled

This visualization displays the first 20 countries from a COVID-19 dataset, showing their reported case counts as horizontal bars. Built with React and D3 v5, it uses `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the numeric case count axis, rendering SVG rectangles. The data is loaded asynchronously via `d3.csv` from a GitHub gist, with tick marks and labels generated manually from the scale domains.

89% match

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the top 20 countries by reported COVID-19 cases, using horizontal bars to compare values. The visualization loads CSV data via `d3.csv` and slices the first 20 rows, with React managing state and rendering SVG elements. Scales are created using `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis, with axis ticks manually generated and mapped to React components. Each bar is drawn as a `rect` element, with the x-axis grid lines and tick labels rendered as SVG `line` and `text` elements.

89% match

Fork of ICE-6: Rendering Marks and Channels with React & D3

This visualization displays a horizontal bar chart of COVID-19 case counts for the top 20 countries, using a bar length to encode population values. The chart is built with React and D3 v5, where D3’s `scaleBand` and `scaleLinear` define the y- and x-axes, and React renders SVG `rect` marks for each bar with gridlines and tick labels. Data is loaded from a CSV file via `d3.csv`, with numeric parsing applied to the case count column.

88% match

ice 6

A horizontal bar chart displays the top 10 countries by COVID-19 case counts, with countries listed on the y-axis and case numbers on the x-axis. The visualization uses React to manage state and render SVG elements, while D3 v5 functions like `csv`, `scaleBand`, and `scaleLinear` handle data loading, scaling, and axis ticks. Data is fetched from a GitHub-hosted CSV file.

Bbhargavarathod

ICE-6_11590101

This visualization displays the top 10 countries by total COVID-19 cases as a horizontal bar chart, with country names on the y-axis and case counts on the x-axis. The bars are rendered as SVG rectangles using React and D3 v5, with scales created via `d3.scaleBand` and `d3.scaleLinear`. Data is loaded asynchronously from a CSV file using `d3.csv`, and axes are drawn manually with gridlines and tick labels. The title indicates the chart focuses on the highest COVID-19 case counts among nations.

DDivyasri0310

Fork of ICE-6: Rendering Marks and Channels with React & D3

This visualization displays the top 20 countries by COVID-19 case counts (from the "1/28/20" column of a CSV dataset) as a horizontal bar chart. Using React components with D3.js, it renders SVG rectangles whose widths are scaled by `d3.scaleLinear` against the maximum population value and positions the bars along a categorical `d3.scaleBand` axis for country names. D3’s `csv` loader fetches remote data, while axis ticks and labels are generated manually with `xScale.ticks()`. The chart is drawn within a 960×500 SVG canvas, with margins and inner plot dimensions defined by constants.

Sskambhore04

Fork of ICE-6: Rendering Marks and Channels with React & D3

This visualization displays the top 20 countries by COVID-19 cases on January 28, 2020, as horizontal bars ranked by population. Built with React and D3 v5, the chart uses `d3.scaleBand` for the y-axis country labels and `d3.scaleLinear` for the x-axis case counts, rendering SVG rectangles for bars and manually drawn tick marks and axis labels. Data loads asynchronously from a CSV via `d3.csv`, with numeric parsing applied before state updates trigger re-rendering.

SSaikiran2029