Making a Bar chart

100%

Making a Bar chart

✓ Published1🌍 Public

Last edited Aug 17, 2019

Created on Aug 17, 2019

This bar chart displays the populations of ten countries, using horizontal bars ordered from largest to smallest. The visualization loads data from a CSV file using `d3.csv` and renders it as SVG. The code employs `d3.scaleLinear` for the x-axis population values and `d3.scaleBand` for the categorical y-axis, while axes are generated with `d3.axisLeft` and `d3.axisBottom`. Population numbers are converted from integers with a thousand multiplier before scaling.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar chart

BBazarbayevManas

100% match

Loading thumbnail…

making bar chart

This bar chart displays population sizes for ten countries, using horizontal bars whose lengths correspond to each nation’s population value. The visualization is rendered as SVG with D3 v5, employing `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis categories, and `d3.axisLeft` and `d3.axisBottom` for the axes. Data is loaded from a CSV file and processed with `d3.csv`, with population values converted to numbers before rendering.

Ttayyabanisar

92% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of ten countries in descending order, with horizontal bars representing each nation’s total population in thousands. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map population values and country names, rendering the bars as SVG `rect` elements. Data is loaded from a CSV file and transformed by multiplying each population value by 1000 before plotting.

RRajab Ssemwogerere

92% match

Loading thumbnail…

making bar chart

This bar chart displays the populations of ten countries, using horizontal bars ordered by country name. The code creates an SVG visualization using D3 v5, loading data from a CSV file. It employs `scaleLinear` and `scaleBand` to map population values and country names to bar lengths and vertical positions, while `axisLeft` and `axisBottom` add the corresponding axes. The population values are parsed and multiplied by 1000, and bars are drawn as rectangles with heights determined by the band scale.

Ttayyabanisar

92% match

Loading thumbnail…

making bar chart

This bar chart displays population counts for ten countries, sorted by country name along the vertical axis and using horizontal bar lengths to represent population values on a linear scale. The visualization is built with D3 v5, loading data from a CSV file and rendering to SVG. It uses `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to map the data, draw axes, and append rectangles for each bar within a margin-defined group.

Ttayyabanisar

92% match

Loading thumbnail…

Making a bar chart

A bar chart displays population figures for ten countries, with horizontal bars sorted by country name. The visualization loads data from a CSV file and renders it as SVG rectangles using D3 v5. It uses `d3.scaleLinear` for the population axis, `d3.scaleBand` for country categories, and `d3.axisLeft` and `d3.axisBottom` for labeled axes. Bar heights and widths derive from the dataset, with a steelblue fill applied via CSS.

Vvladvaculin

92% match

Loading thumbnail…

Making a Bar chart

This bar chart displays the populations of ten countries in descending order, using horizontal bars ranked from largest to smallest. The visualization is built with D3 v5, loading data from a CSV file and rendering SVG elements. It employs `scaleLinear` and `scaleBand` for the x and y axes, respectively, with data-driven rectangles and axis generators (`axisLeft`, `axisBottom`).

Llipeoliveira

92% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of ten countries, scaled from a CSV dataset. It uses D3 v5’s `scaleLinear` and `scaleBand` to map population values to bar widths and country names to vertical bands, with `axisLeft` and `axisBottom` generating the axes. Bars are rendered as SVG rectangles, with data loaded via `d3.csv` and population values multiplied by 1000 to reflect thousands.

Nnick-yadav

92% match