Scatter Plot

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with countries on the y-axis and population counts on the x-axis. The chart uses `d3.scaleLinear` for the x-axis, `d3.scalePoint` for the y-axis, and renders circles via SVG. Data is loaded from `data.csv` using `d3.csv`, and axes are generated with `d3.axisLeft` and `d3.axisBottom`, including customizable tick formatting and grid lines.

SSergio Eijben

Scatterplot

This scatterplot displays the population of the top ten most populous countries, with each country positioned along the y-axis and its population along the x-axis. The chart uses D3 v5 with SVG rendering, employing `scaleLinear` and `scalePoint` for axes, `axisBottom` and `axisLeft` for ticks, and `format` to abbreviate population values. Data is loaded from a CSV file via `csv`, with population values multiplied by 1000 before rendering circles representing each country.

Ffbudwill

Scatter Plot

This scatter plot displays the top 10 most populous countries, with population on the x-axis and country names on the y-axis. It uses d3.csv to load the data and d3.scaleLinear and d3.scalePoint for positioning, while d3.axisBottom and d3.axisLeft render the axes with tick lines. The circles are drawn as SVG elements, and the population values are formatted using d3.format with a custom tick format that converts billions from 'G' to 'B'. The chart includes axis labels and a title, all styled via CSS.

EErik Rudhe

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries. Each circle represents a country, positioned along a linear x-axis for population and a categorical y-axis for country name. The chart uses D3 v5, rendering as SVG, and employs `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` APIs. The data from `data.csv` is loaded via D3's `csv` function, with population values multiplied by 1000. The chart includes a title and axis labels, with a clean, margin-based layout.

Yyoghurtx

Scatter plot

This scatter plot shows the population of the top 10 most populous countries, with each circle representing a country and positioned along the x-axis by its population. The chart is rendered as an SVG using D3 v7, with axes created through `axisBottom` and `axisLeft` functions. Data is loaded from a local CSV file using D3's `csv` function, then scaled with `scaleLinear` and `scalePoint`. The visualization includes grid lines from tick marks and a custom format function that converts numbers to readable units.

Ttheaddies

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, using a linear scale for population and a point scale for country names. The visualization employs D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft`, rendering SVG circles with fixed radii. Data is loaded from a CSV file with d3.csv, and population values are converted to numbers and multiplied by 1000. The chart includes formatted axis tick labels using d3.format’s `.3s` notation and gridlines via negative tick sizes.

Aandy-yc-lin

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with each country's name on the y-axis and its population on the x-axis. Using D3 v5, the code loads data from a CSV file, scales the x-axis linearly and the y-axis with `scalePoint`, and renders circles with a fixed radius. The chart includes formatted tick labels using `format('.3s')` and axis labels via `axisBottom` and `axisLeft`.

DD0no

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with circles positioned along a linear x-axis for population values and a point scale y-axis for country names. The visualization uses D3 v6 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom`, rendered as SVG. Data loads from a CSV file via `d3.csv`, with population values converted from thousands. Grid lines, tick formatting, and an axis label enhance readability.

Llarsboergo