Making a bar chart

Making a Bar Chart

A horizontal bar chart displays population counts for ten countries, with bars sorted by value from largest to smallest. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for categorical y-axis spacing, and `axisLeft`/`axisBottom` for tick marks. Data loads from a CSV file via `d3.csv`, with population values multiplied by 1000. SVG rendering positions rectangles with attributes set from the scales.

NNicole Kan

Making a Bar Chart

A horizontal bar chart displays population counts for ten countries, sorted alphabetically by country name. Each bar’s length is scaled linearly from zero to the maximum population, while the y-axis uses a band scale for country labels. The visualization is built with D3 v5, using `d3.csv` to load data, `scaleLinear` and `scaleBand` for axes, and SVG rectangles for bars. The chart includes left and bottom axes generated with `axisLeft` and `axisBottom`.

MMei

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

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

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

Making a Bar Chart

This bar chart displays the populations of ten countries, using horizontal bars sorted by country name. The visualization is built with D3.js v5, rendering to an SVG canvas. The code imports `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load the data, map population values to bar widths, and draw the axes. The chart demonstrates fundamental DOM manipulation by appending rectangles to the SVG group, with each bar's height set by the band scale's bandwidth.

JJMason88

Making a Bar Chart

A horizontal bar chart displays population counts for ten countries. The chart renders as an SVG and uses D3 v5's `scaleLinear` for the x-axis and `scaleBand` for the y-axis, mapping each country to a rectangle. Data loads from a CSV file via `d3.csv`, with population values multiplied by 1,000 during preprocessing. Bars fill the full width, with no labels or axes visible.

HHarish M A

Making a Bar Chart

A horizontal bar chart displays the population of ten countries, sorted by country name. The visualization uses D3 v5 APIs including `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`. Data is loaded from a CSV file, with population values multiplied by 1000. The chart is rendered as SVG with steel blue bars and axis labels, using a fixed layout with specified margins.

RRenato Francia Castillo