practice

100%

✓ Published0🌍 Public

Last edited Mar 8, 2023

Created on Mar 8, 2023

This example displays a simple bar chart of population data for ten countries, using a static HTML page with no visible visualization logic. The chart is generated entirely client-side, but the provided `index.html` contains only an empty body element, meaning the page renders without any graphical output. The code references no external JavaScript libraries or APIs, and the data is supplied as a CSV file with country and population columns. The visualization remains unimplemented, leaving the page blank rather than producing a chart.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Practice on Making Bar Chart

This example shows a bar chart of population figures for ten countries, using data loaded from a CSV file. The chart is rendered as SVG in a fixed 960-by-500 viewport, with country names and population values mapped to bars. The implementation uses D3 v5’s `csv` method to load the data and `select` to target the chart’s SVG element.

Hhossaphul

83% match

Loading thumbnail…

Practice 1

This example presents a horizontal bar chart of population data for five countries, loaded from a local CSV file. The visualization encodes population values as bar widths using D3’s `scaleLinear`, while country names are positioned along the y-axis with `scaleBand` and padding. Both axes are generated with `axisLeft` and `axisBottom`. The chart is rendered as SVG elements appended to a fixed-size `<svg>`, with rectangles styled via an external CSS file. The code demonstrates importing D3 modules such as `select`, `csv`, and `max` within a bundled ES6 setup.

Cchickenwing-yung

81% match

Loading thumbnail…

practice1

This bar chart visualizes population data for ten countries, comparing values from China to Mexico using horizontal bars. The chart renders as an SVG graphic, with the countries listed along the y-axis and population counts on the x-axis. Built with D3 v5, it uses `scaleLinear` and `scaleBand` to map the data, while `axisLeft` and `axisBottom` generate the axes. The `csv` function loads the data from `data.csv`, and steelblue rectangles represent each country’s population.

Hhossaphul

80% match

Loading thumbnail…

Bar Chart Practice

This bar chart practice visualization displays population data for ten countries, with each country represented by a horizontal bar scaled proportionally to its population. The example loads data from a CSV file and renders the chart as an SVG using the React framework and D3 v6's `scaleLinear`, `scaleBand`, `select`, and `csv` API functions. The bars are drawn via D3's selection and data join methods, with the y-axis assigned to country names and the x-axis to population values.

Kkaddindr

79% match

Loading thumbnail…

Bar Chart

This example displays a static bar chart of population figures for ten countries, sourced from a CSV file containing country and population data. The chart is rendered as SVG elements within an HTML page, using the D3.js library (version 5) to load the data via the `csv` function and log it to the console. The visualization is generated through a simple script that imports `select` and `csv` from D3, though the current implementation does not yet draw the bars, only fetches and outputs the data. The SVG canvas is sized at 960 by 500 pixels, with the page styled by an external CSS file that removes margins and hides overflow.

Nneydareh

78% match

Loading thumbnail…

practice

This bar chart shows the populations of the ten most populous countries using 2018 estimates from the UN World Population Prospects. The visualization uses D3 v6 with an SVG rendering, where each country is represented by a rectangle scaled along a linear population axis and positioned with a band scale. The data is loaded from a CSV file via `d3.csv`, and axes are generated with `axisLeft` and `axisBottom`. The chart also includes console output from an asynchronous promise example, though it does not affect the visual display.

Ggoodej

78% match

Loading thumbnail…

HTML Starter

This example shows a bar chart of population data for several countries, rendered as SVG rectangles. The visualization loads data from a CSV file using `d3.csv`, converts population values to numbers, and maps them to bar widths with `d3.scaleLinear`. Country names are mapped to vertical positions using `d3.scaleBand`, though the range is left empty. The code appends a static SVG canvas and rects without explicit x or y positioning, leaving the chart incomplete. It demonstrates a minimal HTML page combining D3 v6 and vanilla JavaScript.

TTrustPaul

76% match

Loading thumbnail…

Make a bar chart

This example renders a static bar chart of population data for ten countries, showing each country’s population in thousands. The chart uses an SVG element and selects and binds the data from a CSV file using d3.csv, converting population values to numbers with d3 selection. The code initially selects all existing rect elements and binds the data, but does not yet create or update bars, leaving the visualization blank. The layout uses a fixed SVG width and height, with the stylesheet hiding overflow.

Mmirna981

76% match