Bar Chart top 30 Countries Population (vertical) with CSV

Bar Chart top 30 Countries Population (vertical) with CSV Final

This bar chart displays the population of the top 30 countries in 2020, using a vertical layout. The data is sourced from the Kaggle World Population Prospects 2020 dataset, which was processed externally before being imported as a CSV. The visualization is rendered in SVG using D3 v5, with bars that change color from black to orange upon mouse hover, and smoothly transition back. It utilizes D3's `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` functions to construct the chart, with a custom tick formatter.

97% match

Fork of Bar Chart top 30 Countries Population (vertical) with CSV

This vertical bar chart displays the populations of the top 30 countries from the 2020 World Population Prospects dataset. Using D3 v5, the visualization loads CSV data, maps it to a linear scale for the x-axis and a band scale for the y-axis, and renders SVG rectangles with hover effects that temporarily change fill color. The chart also customizes axis formatting to abbreviate large numbers and removes tick lines for a cleaner appearance.

92% match

Fork of Fork of Bar Chart top 30 Countries Population (vertical) with CSV

This bar chart shows the top 30 countries by population, using horizontal bars sorted vertically. The chart displays population values on a linear scale and country names on a band scale, with custom axis formatting that abbreviates large numbers. It uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs, rendering as SVG. Bars turn orange on mouseover via `select` and `attr` transitions. Data comes from the 2020 Kaggle World Population Prospects dataset, loaded from a local CSV file.

92% match

scatter plot top 30 Countries Population with CSV

This scatter plot displays the populations of the top 30 countries in 2020, with countries on the y-axis and population counts on the x-axis. The visualization uses D3 v5’s `scaleLinear` and `scalePoint` to map data, `axisLeft` and `axisBottom` for axes with custom tick formatting, and SVG circles that change color on mouseover. Population data comes from the Kaggle World Population Prospects 2020 dataset, loaded via `d3.csv` from a local CSV file.

87% match

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 population of the top 10 most populous countries, using 2018 estimates from World Population Prospects 2017. The visualization loads data from a CSV file and renders it as an SVG, with the y-axis ordered by country name and the x-axis scaled linearly. The code uses D3 v5 modules including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to build the chart, apply margins, and add axis labels. Population values are converted from thousands to full counts, and the x-axis ticks use a custom formatter to abbreviate large numbers.

Oovalli

Making a Bar Chart

Oovalli

bar chart

A 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 chart uses D3 v5 with an SVG rendering, employing `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for labeled ticks. Population values are loaded from a CSV file, multiplied by 1000, and formatted with abbreviations like “B” for billions.

Ttkreglhn