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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 2017. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG, with a custom tick formatter converting values to billions. Grid lines are drawn via the x-axis, while the y-axis domain and tick lines are removed for a cleaner look. Population data is loaded from a local CSV file using `d3.csv` and scaled by 1,000.

AAn Jingyi

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The chart uses D3 v5 with SVG rendering, employing `scaleLinear` and `scaleBand` for positioning, and customizes the axes with `axisLeft` and `axisBottom`. Population values are loaded from a CSV file and formatted with a custom tick format that abbreviates large numbers. The visualization also includes axis labels and a title, with gridlines created through the x-axis tick size.

PPhilippe Rigovanov

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. It uses D3 v5 with an SVG rendering, employing `scaleLinear` and `scaleBand` for axes, and `axisBottom` with a custom tick formatter that converts billions to "B" labels. The chart also removes default axis lines and adds a title and axis label. The data is loaded via `csv` from a local file, with population values scaled by 1000.

Aandy-yc-lin

Making a Bar Chart

This bar chart ranks the top 10 most populous countries in 2018, with population values from the United Nations World Population Prospects 2017. It uses D3 v5’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render an SVG with a customized x-axis that abbreviates large numbers using `format(“.3s”)`. The chart includes axis labels, a title, gridlines, and excludes the y-axis domain and tick lines for a cleaner look. Data is loaded from a CSV and converted to thousands.

KKareem Naguib

bar chart

This horizontal 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 loads data from a CSV file using `d3.csv`, then renders SVG bars with `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population values. Axis labels and tick formatting use `d3.axisLeft`, `d3.axisBottom`, and `d3.format` to abbreviate population numbers in billions. The chart includes a title, axis label, and custom margins.

Ttkreglhn

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

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

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries in 2018, based on data from the United Nations World Population Prospects. The chart uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` with a custom tick format that abbreviates large numbers, along with `axisLeft`. The SVG rendering includes a title and axis label, with red rectangles representing each country’s population. The data is loaded from a CSV file using `d3.csv`.

CChaseRogers1027