Top 11 car sales in the year 2014

100%

Top 11 car sales in the year 2014

✓ Published0🌍 Public

Last edited Mar 8, 2022

Created on Mar 8, 2022

Forked from Let's make a Bar Graph with D3.js

A bar chart displays the top 11 countries by population in 2014, using steelblue rectangles to show each country's total population. The visualization renders as SVG via D3 v7, with a linear x-scale for population values and a band y-scale for country names. Axes are generated using `axisLeft` and `axisBottom`, while data is loaded from a CSV file and formatted by multiplying values by 1000. Country labels and gridlines are omitted, keeping the focus on population comparisons.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart: 2018 Population Top11

This bar chart visualizes the 2018 population of the top 11 countries, with each bar’s length proportional to population size. The chart uses D3 v5’s `scaleLinear` for the x-axis and `scaleBand` for the y-axis, rendering SVG rectangles scaled by population values. Data is loaded from a local CSV file, and population values are multiplied by 1000 to reflect the original source from worldpopulationreview.com. The chart is positioned using a margin transform, though only a subset of the layout is visibly styled.

YYujin Chung

83% match

Loading thumbnail…

Bar Chart: 2018 Population Top11

This bar chart displays the 2018 populations of the eleven most populous countries, using a horizontal layout where bar length corresponds to population size. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for categorical country labels. Population values from the CSV are read via `d3.csv` and multiplied by 1000 to reflect actual figures. The chart includes a left axis generated with `axisLeft` and data sourced from World Population Review.

Vviolet-chaeyoonkim

82% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the World Population Prospects 2017. The visualization uses an SVG rendering with D3 v5, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, along with `d3.axisLeft` and `d3.axisBottom` to render the axes. Data is loaded from a CSV file using `d3.csv` and displayed as steel-blue rectangles.

MMichał Szumnarski

80% match

Loading thumbnail…

Making a Bar Chart

MMichał Szumnarski

80% match

Loading thumbnail…

Cars Scatter Plot

This visualization shows the population of the top 10 most populous countries using a bar chart, with each country represented by a circle whose horizontal position reflects its population size. The chart uses D3 v6 with `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render the SVG elements. The data comes from a CSV file containing 2018 population estimates per the World Population Prospects 2017, with values multiplied by 1000 in the loading step. Circles are styled with steelblue fills, and the chart includes labeled axes and a title.

DDataFeast_71

80% match

Loading thumbnail…

DataVisualization

This bar chart displays the population of the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects 2017. The visualization demonstrates customized D3 axes with styled tick labels and grid lines. Built with D3 v5, the code uses `d3.csv` to load data and `d3.select` to manipulate SVG elements. The chart renders population values as steelblue rectangles with a title and axis labels, showing how D3 can be adapted for data-driven customization.

BBhagyashreeU

79% match

Loading thumbnail…

Bar Chart

This bar chart displays the population of the top 10 most populous countries, using horizontal bars sorted by country name. The data, sourced from United Nations population projections for 2017, is loaded from a CSV file and rendered as SVG. The visualization uses D3 v5 APIs including `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` and `axisBottom` to draw the chart’s axes. Bars are colored steelblue via CSS.

Aatree-rohit

79% match

Loading thumbnail…

Cars Bar Chart

This bar chart displays the top 10 most populous countries as of January 1, 2024, ranking them by total population in thousands. It uses D3.js scales (scaleBand and scaleLinear) and axis functions to render the visualization, with the y-axis label indicating population. Data comes from the @curran/un-population-estimates-2024 dataset, filtered to country/area types before sorting. The viz.js module handles rendering with reusable axis-label utilities from @curran/axis-labels, making the chart adaptable to other datasets.

SShazil Taqi

79% match