Fork of Making a Bar Chart

100%

Fork of Making a Bar Chart

✓ Published0🌍 Public

Last edited Apr 30, 2024

Created on Apr 30, 2024

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, with population values in thousands. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG bars, while a custom tick formatter converts large numbers to readable abbreviations like “B” for billions. Axis labels and a title are added manually, and gridlines are drawn via `tickSize(-innerHeight)`. Data is loaded from a local CSV file, with the population column multiplied by 1000 during preprocessing.

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 displays the top 10 most populous countries based on 2018 United Nations population estimates, with values converted from thousands to absolute numbers. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for categorical country labels, and custom axis formatting via `format('.3s')` to abbreviate large numbers. Grid lines are generated with `tickSize(-innerHeight)`, while axis labels and a title are added directly to the SVG. Data loads asynchronously from a CSV file using `d3.csv`.

CComplicated Phenomenon

97% match

Loading thumbnail…

Fork of Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, with population values expressed in thousands. The visualization uses D3 v5 with an SVG renderer, employing `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the categorical y-axis, and `d3.axisLeft` and `d3.axisBottom` for labeled axes. A custom tick formatter converts large numbers into abbreviated units like “B” for billions, and gridlines extend across the plot. The data is loaded from a CSV file and processed as numeric values.

CComplicated Phenomenon

97% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 United Nations population estimates, with values reformatted to show billions. The visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map population and country names, while `axisBottom` and `axisLeft` render the axes. The chart features a custom tick formatter that abbreviates numbers with `format('.3s')`, and SVG rectangles are colored steelblue via CSS. Data is loaded from a CSV file and rendered with d3.csv.

JJingyi Feng

97% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, with population values scaled in thousands. Using D3 v5, the visualization employs `scaleLinear` and `scaleBand` to map population counts and country names, while `axisBottom` and `axisLeft` render formatted axes with a custom tick format that converts large numbers to abbreviated units. The SVG rendering includes gridlines, a title, and an axis label, with horizontal bars styled in steel blue.

Sskambhore04

96% match

Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 axes, removing domain lines and using tick marks that span the chart’s height. Population values are loaded from a CSV file and formatted with abbreviations like “B” for billions using `d3.format`. The chart is rendered with SVG elements, using `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` and `axisLeft` to generate ticks.

Ssnehareddygurram

96% match

Loading thumbnail…

Fork of Making a Bar Chart

This horizontal bar chart displays the top 10 most populous countries in 2018, using United Nations population estimates. It demonstrates D3 v5 customization of axes, including a formatted x-axis with tick marks and labels, a removed y-axis domain, and rotated tick labels. The chart uses `scaleLinear` and `scaleBand` for scales, `csv` to load data, and `axisBottom` and `axisLeft` for axes. Population values are multiplied by 1000, and d3-format abbreviates tick labels (e.g., "1.42B"). Rendering is SVG-based with steelblue bars and a custom title.

DDavi Resio

96% match

Loading thumbnail…

Fork of 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 2017. The data is loaded from a CSV file and rendered as SVG rectangles. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the axes, with custom tick formatting that abbreviates large numbers. A title and axis label are also included, and the chart demonstrates customization of D3 axes by removing default domain lines.

WWilliam He

96% match

Loading thumbnail…

Fork of Fork of 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 visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map population values and country names, with axes customized via `axisBottom` and `axisLeft`. Population values are formatted with `format('.3s')` to abbreviate large numbers, and the data is loaded asynchronously from a CSV file using `d3.csv`. The SVG rendering includes a title and axis label for clarity.

Ooliverkendall99@gmail.com

95% match