Fork of Making a Bar Chart

100%

Fork of Making a Bar Chart

✓ Published0🌍 Public

Last edited Jan 20, 2024

Created on Jan 20, 2024

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 chart customizes D3 axes with a left-aligned y-axis and a bottom x-axis using `d3.axisLeft` and `d3.axisBottom`, while `d3.scaleLinear` and `d3.scaleBand` map populations and country names to SVG rectangles. Data is loaded from a CSV file via `d3.csv`, with populations multiplied by 1000 for accurate scaling.

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.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart shows the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. The code uses D3 v5 with `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG chart. It customizes the x-axis tick format by converting large numbers to abbreviated units (e.g., 'B' for billions) and removes axis domain lines for a cleaner look. Data is loaded from a local CSV file.

Rrkagiri

97% match

Loading thumbnail…

Fork of Making a Bar Chart

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. It uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG bars, with custom tick formatting using `format('.3s')` and an axis label. The chart also customizes axes by removing domain lines and tick lines, and includes a title. Population values are loaded from a CSV file and multiplied by 1000.

Ssmpitler

97% match

Loading thumbnail…

Fork of Making a Bar Chart

Ssmpitler

97% match

Loading thumbnail…

Fork of Making a Bar Chart

Ssmpitler

97% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, with data from the 2018 United Nations World Population Prospects estimate. It uses d3.csv to load the data and d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to construct the visualization, which is rendered as SVG. The chart customizes the axes by removing tick lines, formatting population values with d3.format, and adding axis and title labels.

Bbepnye@gmail.com

97% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 with an SVG rendering approach, employing `d3.csv` to load the data and `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` for the axes. Population values are formatted with `d3.format`, and custom axis labels and gridlines highlight the data.

CCrossZeigler

97% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart visualizes the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map population counts to bar lengths and country names to vertical positions, with customized axes created through `axisLeft` and `axisBottom`. Grid lines are generated by the x-axis tick marks, and tick labels are formatted using `format('.3s')` to display values in billions. The bars are rendered as SVG rectangles with a steelblue fill, and the data is loaded from a CSV file.

EEunice Tu

97% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart shows the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It demonstrates custom D3 axis styling, including tick formatting that converts values to billions and the removal of axis lines. The visualization uses d3.csv, scaleLinear, scaleBand, axisBottom, axisLeft, and format to render the SVG. Population values are multiplied by 1,000, and the chart includes a title and x-axis label.

Vvjcs47

96% match