Making a Bar Chart

100%

Making a Bar Chart

✓ Published1🌍 Public

Last edited Apr 13, 2019

Created on Apr 10, 2019

This bar chart ranks the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The population data from a CSV file is scaled on a linear axis, with country names placed along an ordinal point scale. Using D3 v5, the code loads the data with `d3.csv`, renders axes via `d3.axisBottom` and `d3.axisLeft`, and draws steel-blue circles for each bar. Gridlines are extended through the chart area, and the visualization is output as SVG with formatted tick labels.

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.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. Each bar’s length is scaled linearly to population values, while country names are positioned along a band scale. The chart is rendered as SVG using D3 v5, with axes generated through `d3.axisLeft` and `d3.axisBottom`, and data loaded via `d3.csv`. Grid lines and axis labels are formatted using `d3.format`.

BBraja Gopal Das

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart ranks the top 10 most populous countries by their 2018 population estimates from the United Nations World Population Prospects 2017. It uses D3 v5 with an SVG canvas, employing `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis. The code loads data via `csv`, maps population values, and renders steel-blue rectangles with `axisLeft` and `axisBottom` for axis ticks.

Mmellerjakub88

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The data is loaded from a CSV file and rendered as horizontal bars on an SVG canvas. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom from D3 v5, with bars filled in steelblue and sized proportionally to population values. The chart includes axes generated via the axis functions, and population figures are multiplied by 1,000 to reflect full counts.

Rram-iyer

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects 2017. It renders horizontal bars with D3 v5’s `scaleBand` for the y-axis and `scaleLinear` for the x-axis, using `axisLeft` and `axisBottom` for ticks. The data is loaded from a CSV via `d3.csv`, with population values multiplied by 1000. The SVG output uses `g.selectAll('rect')` to draw each bar, styled with a steelblue fill.

IIyke2909

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects 2017. The visualization employs d3.scaleLinear for the x-axis and d3.scalePoint for the y-axis, with data loaded via d3.csv from a local CSV file. Circles represent each country’s population, with axes rendered using d3.axisLeft and d3.axisBottom, including gridlines and formatted tick labels. The SVG output is styled with opacity and steelblue fills for the circles.

BBraja Gopal Das

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The code loads data from a CSV and renders circles positioned by a linear scale for population and a point scale for country names. It uses d3.scaleLinear, d3.scalePoint, d3.axisLeft, and d3.axisBottom, with a custom margin and tick formatting. The SVG output includes labeled axes and a title.

BBraja Gopal Das

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It sorts countries along the y-axis with population values on the x-axis, rendered as steelblue bars in an SVG canvas. The visualization is built with D3 v5, employing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the d3 module to construct scales and axes. Data is loaded from a CSV file using `csv` and processed by multiplying population values by 1000.

Ssrrajendran

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The D3 v5 code loads CSV data, converts population values to absolute numbers, and renders an SVG with linear and band scales. It customizes axes by removing domain lines, applying a tick format that abbreviates large numbers (e.g., ’G’ to ’B’), and adding an axis label. The visualization uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format`.

JJaohar Kehinde Oseni

95% match