Barchart vol. 2 / Customizing Axis

Customizing Axes

This bar chart displays the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. It uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs, with a custom tick formatter via `format('.3s')` to abbreviate numbers. SVG rendering is used, drawing steel-blue bars with margins and a title. The data comes from a CSV file where population values are multiplied by 1000 during loading.

SSamuel Elbaz

Customizing Axis

This bar chart displays the top ten most populous countries, with population values shown on a horizontal axis and country names on a vertical axis. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the population scale and `scaleBand` for country categories. Axis customization includes tick formatting via `format('.3s')` that replaces 'G' with 'B' for billions, plus removal of axis domain lines and grid-line styling through `axisBottom` and `axisLeft` calls. Population data from CSV files is converted to absolute numbers by multiplying by 1000.

Nnick-yadav

Customizing Axis

This bar chart displays the population of the top 10 most populous countries, using a horizontal layout with steel-blue bars. The axes are customized: the y-axis removes its domain line and tick lines, while the x-axis uses a custom tick formatter via `d3.format` to abbreviate values (e.g., converting “G” to “B”) and includes grid lines extending across the chart. Built with d3.v5 and SVG, the code employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`. Population data is read from a CSV file and multiplied by 1000 to reflect actual counts.

MMateus Farias

Customizing Axis

MMateus Farias

Customizing Axis

This bar chart displays the top 10 most populous countries using population data from a CSV file. The visualization customizes both axes: the y-axis removes domain lines and ticks for a cleaner look, while the x-axis formats population values (e.g., converting "G" to "B" for billions) and extends tick lines across the chart. Built with D3 v7, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, rendering as SVG. The x-axis label and title are added as text elements, with bars styled in steelblue via external CSS.

陳陳泰元

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using D3.js v5 to render SVG. The chart customizes the x-axis to show abbreviated population values in billions by using D3's `scaleLinear`, `scaleBand`, and `axisBottom` with a tick format that replaces "G" with "B". It also removes default axis lines and tick marks on the y-axis, adds a custom axis label, and applies a title. Population data is loaded from a CSV file.

Rratschke

Customizing Axes

This bar chart displays the populations of the ten most populous countries, with countries on the y-axis and population counts on the x-axis. Built with D3.js v5, it uses `scaleLinear` and `scaleBand` to map data, and `axisBottom` and `axisLeft` for custom axes. Population values from a CSV file are formatted with abbreviations (e.g., 'B' for billions), and the chart removes default axis lines for a cleaner look. All elements render as SVG.

RRiccardo Pressiani

Customizing Axes

RRiccardo Pressiani