Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
Bbellotukurm
Last edited Sep 19, 2019
Created on Sep 18, 2019
Forked from Customizing Axes

This bar chart displays the 2018 population estimates for the ten most populous countries, using data from the United Nations World Population Prospects. The visualization highlights how D3 axes can be customized: it employs `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population scale, with `d3.axisLeft` and `d3.axisBottom` creating the axes. Styling via CSS customizes tick text, lines, and labels, while D3’s `select`, `csv`, and `max` functions load and process the data from a CSV file.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

See also the first bar chart visualization that this one builds on: Making a Bar Chart.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization demonstrates customized D3 axes: the y-axis uses an `axisLeft` with a band scale for country names, while the x-axis uses `axisBottom` with a linear scale and a custom tick format that converts large numbers to abbreviations (e.g., G to B). The `d3.scaleBand` and `d3.scaleLinear` APIs handle positioning, and `d3.csv` loads the data. The SVG render uses `d3.select` and `d3.max` to compute the domain.

CCodeHandLuke
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the world’s ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. It highlights how D3 axes can be customized for appearance and readability. The visualization uses d3.csv, d3.scaleLinear, d3.scaleBand, and d3.axisLeft to render countries along the vertical axis and population values as horizontal bars. SVG elements are styled via external CSS, with tick labels, grid lines, and text sizes adjusted through the .tick class.

Lleothimoteo
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations’ World Population Prospects. It shows how to customize D3 axes, including tick formatting (converting large numbers to abbreviated billions), removing axis spines, and adding labels. The visualization uses `d3.csv` to load data, `d3.scaleLinear` and `d3.scaleBand` for scales, and `d3.axisBottom` and `d3.axisLeft` for rendering. Styling is applied via CSS, while the SVG output is generated dynamically through D3 selections.

Llystran
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the 2018 population estimates for the top 10 most populous countries, sourced from the United Nations World Population Prospects 2017. It showcases customized D3 v5 axes, including a formatted bottom axis that converts large numbers into abbreviated units (e.g., ‘B’ for billions) and removes unnecessary tick lines. The left categorical axis is cleaned of its domain and tick lines, while custom labels and titles are styled via CSS. The visualization uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG.

MMithun Ghosh
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the 2018 population estimates for the top 10 most populous countries, sourced from the United Nations World Population Prospects 2017. It showcases customized D3 v5 axes, including a formatted bottom axis that converts large numbers into abbreviated units (e.g., ‘B’ for billions) and removes unnecessary tick lines. The left categorical axis is cleaned of its domain and tick lines, while custom labels and titles are styled via CSS. The visualization uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG.

MMithun Ghosh
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart highlights custom D3 axis styling, including tick lines that extend across the plot area, custom labels, and a formatted x-axis that converts large numbers into billions. The visualization uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` to build the chart, with CSS controlling the appearance of ticks and text. Data is loaded from a CSV file and rendered as SVG within a 960 by 500 viewport.

Llystran
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects 2017. It shows how D3 axes can be customized by removing domain lines, adding tick labels with custom formatting (e.g., converting "G" to "B" for billions), and rotating tick labels. The visualization uses d3.scaleLinear and d3.scaleBand for scaling, along with d3.axisBottom and d3.axisLeft for axes, rendered as SVG. Data is loaded from a CSV file and processed with d3.csv.

Ccesar-bellon
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It shows how D3 axes can be customized by using `d3.axisLeft` and `d3.axisBottom` with `d3.scaleBand` and `d3.scaleLinear`. The visualization renders in SVG, with styled tick lines and labels, and includes a title and axis label. Data is loaded from a CSV file.

LLittledevil7
95% match