this is gonan be a scatter plot

Scatter Plot

A scatter plot displays the populations of the ten most populous countries, with circles positioned along a linear population axis and a point scale for country names. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft`, reading data from a CSV file. Population values are multiplied by 1000, formatted with ticks using `format('.3s')`, and rendered as steelblue circles in an SVG. Grid lines extend across the plot, with axes labels and a title.

SSamuel Elbaz

scatter plot

A scatter plot displays population figures for ten countries, with each circle positioned along a linear population axis and a point scale for country names. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft`, rendering SVG circles with a steelblue fill. Data comes from a CSV file, with populations multiplied by 1000 and formatted using `format('.3s')` to show billions. Gridlines extend across the plot, and axis labels are added via appended SVG text elements.

Llinkshady

Scatter Plot

A scatter plot displays the population of the twelve most populous countries, with each circle’s horizontal position and size reflecting its population value and the vertical axis listing country names. The chart uses D3.js v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to render an SVG with grid lines, a titled x-axis labeled “Population,” and a headline. Data is loaded from a CSV file via the `csv` function and formatted with `format`, while the static circle styling uses a steelblue fill.

Ddanielchamone

First Scatter Plot

This scatter plot displays population figures for ten countries, with each circle positioned by its country on the vertical axis and population on the horizontal axis. The example uses D3 v5’s `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` APIs. It loads data from `data.csv`, multiplies population values by 1,000, and renders SVG circles with a fixed radius. The axes include formatted tick labels and the chart adds a title and axis label via SVG text elements.

Bbukbukbukka

Scatter Plot

This scatter plot displays population data for ten countries, with each country positioned along the y-axis and its population plotted on the x-axis using a linear scale. The visualization uses D3 v6 with SVG rendering, employing `d3.scaleLinear` and `d3.scalePoint` for axes, while `d3.axisLeft` and `d3.axisBottom` generate ticks with a custom number formatter that converts large values to billions. Data comes from a CSV file showing 2018 population figures, which are multiplied by 1000 during processing. The chart includes a title, axis labels, and a steel-blue circle for each country.

CChristine Lanser

Scatter Plot

This scatter plot displays the population of the ten most populous countries, with each circle positioned along a horizontal linear scale for population and a vertical point scale for country names. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to construct the axes. Population values are parsed from a CSV file and formatted with tick labels using `format('.3s')`, while gridlines are drawn via tick sizes.

1123fischer

Scatter Plot

This scatter plot displays the populations of ten countries, with each circle positioned along a linear population scale and a point scale for country names. The visualization reads population data from a CSV file, converts the values from thousands to absolute numbers, and renders the chart as an SVG. Using D3 v7, the code applies `scaleLinear` and `scalePoint` for axes, `axisBottom` and `axisLeft` for ticks, and `csv` for data loading. The chart includes formatted tick labels, gridlines, and a title, with circles colored steelblue.

陳陳泰元

Scatterplot

A scatterplot displays population figures for countries exceeding 100 million inhabitants. The visualization uses a linear scale for population on the x-axis and a point scale for country names on the y-axis, with axis labels and gridlines. It loads data from a CSV file using d3.csv, scales the population values, and renders SVG circles. The code employs d3.scaleLinear, d3.scalePoint, d3.axisLeft, d3.axisBottom, and d3.format for tick labels.

CCarloGato