Country Population

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

Bar chart population

This bar chart visualization displays population data for ten countries, with horizontal bars representing each nation’s population in thousands. The chart uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` and `axisBottom` to render axes. Data is loaded asynchronously from a CSV file via `d3.csv` and converted to numbers. The SVG rendering is structured with margins, and bars are appended as `rect` elements with steelblue fill.

PPeter S

Bar Chart

This bar chart displays the population of ten countries, ranked along a vertical axis with horizontal bars representing each nation’s population in thousands. The visualization uses D3 v7 with `scaleLinear` and `scaleBand` to map population values to bar widths and country names to band positions, rendering an SVG that fills the browser window. Population data loads from a CSV file, and the chart includes axes via `axisLeft` and `axisBottom`, while bars are appended as `rect` elements with tooltips showing exact values.

SSubhamChhetri

Bar Chart

This bar chart displays the population of ten countries, ordered by size along a horizontal axis. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map quantitative values and categorical labels, rendering bars as SVG `rect` elements. Data is loaded from a CSV file via `d3.csv`, with population values converted from thousands to raw numbers. Margins define the plotting area, and axes are appended to a translated group element.

Nneydareh

Bar chart

This bar chart displays population figures for ten countries, with horizontal bars ranked from largest to smallest population. The visualization uses SVG rendering with D3 v7’s scaleLinear and scaleBand to map population values and country names to bar lengths and positions. The x-axis is generated with axisBottom, while the y-axis uses axisLeft. Data is loaded from a CSV file using d3.csv, with the population column multiplied by 1000 before rendering. The chart employs a steelblue fill for the bars and includes margins to accommodate axis labels.

KKelseyXu5

Bar chart

This bar chart visualizes the populations of ten countries, with horizontal bars representing each nation's population in thousands. The chart uses a linear scale for population values and a band scale for country names, with axis labels and steel-blue colored bars. Built with D3 v5, the visualization reads data from a CSV file and renders as an SVG, using D3's scaleLinear, scaleBand, axisLeft, and axisBottom functions to construct the chart.

BbeauMarko

Bar Chart

This bar chart displays the population of ten countries, using horizontal bars ordered from most to least populous. The visualization relies on D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map population values to bar widths and country names to vertical positions. Data is loaded from a CSV file, with population values multiplied by 1000. The chart renders in SVG, with steel-blue bars and axes positioned via margins, and includes a left y-axis for country labels and a bottom x-axis for population values.

Aanvesh12

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