Making a Bar Chart

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, based on 2018 United Nations estimates from the World Population Prospects. The data, loaded from a CSV file, is scaled using d3.scaleLinear for the horizontal axis and d3.scaleBand for the categorical vertical axis. The chart renders as SVG rectangles, with population values parsed from strings to numbers and multiplied by 1,000 before being mapped to bar widths. The visualization uses D3 v5, focusing on a clean, margin-less layout within a 960×500 SVG canvas.

Cchristoshanes

Making a Bar Chart

Cchristoshanes

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects estimate, with values in thousands. The chart uses D3’s `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, rendering SVG rectangles. Population values are parsed from a CSV file and multiplied by 1000 to represent actual figures. The chart is styled with steelblue bars, and axes are positioned using `axisLeft` and `axisBottom`.

TThomas Seberechts

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart uses a linear scale for the population axis and a band scale for the countries, with customized D3 axes that remove domain lines and apply abbreviated tick labels. Built with D3 v5 and rendered as SVG, the code loads data from a CSV file and formats population values in thousands, with the x-axis labeled "Population" and a title above the chart.

Hhbzaheer

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using 2019 estimates from the United Nations World Population Prospects. The chart renders as an SVG, with countries on the vertical axis and population values on the horizontal axis. It is built with D3 v5, using `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` to draw the axes. Data is loaded from a CSV file and parsed with `d3.csv`, with population values multiplied by 1,000 to reflect actual figures.

Kkiyahw1

Making a Bar Chart

This example presents a horizontal bar chart of the populations of the ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 to load a CSV file with `d3.csv`, then scales the data with `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Axes are generated with `axisLeft` and `axisBottom`, while bars are appended as SVG `rect` elements. Population values are multiplied by 1,000 before rendering.

Mmargaretgoode

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using data from the United Nations World Population Prospects 2017. The chart renders as SVG, with horizontal bars ordered by country name along the y-axis and population counts on the x-axis. The visualization is built with D3 v5, utilizing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to position the bars and axes. Population values are read from a local CSV file and scaled by a thousand before being mapped to bar widths.

AAnna Lopez

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization pairs a linear scale for population values with a band scale for country names, rendering horizontal bars in SVG. Built with D3 v5, the code uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` to draw the axes. Population figures are multiplied by 1000 to reflect actual counts.

JJack Middlebrook