Skip to main content
SimilarExport ZIP
100%

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

✓ Published1🌍 Public
CChawin Sungwalngern
Last edited Dec 25, 2022
Created on Dec 24, 2022

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.

AI-generated description

This bar chart shows population of the top 30 countries. The data comes from the year 2020 Kaggle: World Population Prospects 2020. It also demonstrates customization of D3 axes.

MIT Licensed

Similar vizzes

Loading thumbnail…

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.

CChawin Sungwalngern
96% match
Loading thumbnail…

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.

CChawin Sungwalngern
93% match
Loading thumbnail…

Bar Chart top 30 Countries Population (vertical) with CSV

This bar chart displays the population of the top 30 countries in 2020, with a vertical layout where each country is listed along the y-axis and population counts extend horizontally. The data originates from the Kaggle World Population Prospects 2020 dataset, loaded as a CSV. The visualization uses D3 v5 with scaleLinear, scaleBand, axisLeft, and axisBottom to position bars and axes, while customizing tick formatting to abbreviate numbers with suffixes like “B” for billions. The SVG rendering includes styled rectangles and a custom font from Google Fonts.

CChawin Sungwalngern
92% match
Loading thumbnail…

Fork of Bar Chart

This bar chart displays the populations of the world’s 29 most populous countries, using the d3.csv method to load data from a CSV file. Vertical bars are sized with d3.scaleBand and d3.scaleLinear, while d3.axisLeft and d3.axisBottom label the axes. The chart uses SVG rendering with interactive mouseover and mouseout events that transition bar colors from black to orange and back, employing d3.select and transition methods.

CChawin Sungwalngern
88% match
Loading thumbnail…

Fork of Bar chart

A horizontal bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the UN World Population Prospects. The chart uses D3 v6 (d3.scaleLinear, d3.scaleBand, d3.axisLeft, d3.axisBottom) to render SVG rectangles, with population values loaded from a CSV file and scaled in thousands. Bars are drawn from left to right, with country labels on the y-axis and a numeric x-axis.

Aaishstha
88% match
Loading thumbnail…

Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It uses D3 v5 with an SVG renderer to draw horizontal bars, a linear scale for population, and a band scale for country names. The axes are customized with tick formatting that abbreviates large numbers, and gridlines are drawn via the x-axis. Data is loaded from a CSV file using the `d3.csv` method, with population values multiplied by 1000 for display.

AAnthony Zornig
87% match
Loading thumbnail…

Fork of Making a Bar Chart

This bar chart shows 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’s scaleLinear and scaleBand to map population values and country names, with axisBottom and axisLeft for tick marks and labels. The data is loaded from a CSV file via d3.csv and rendered as SVG rectangles, with a custom tick formatter that converts numbers from G to B notation.

Aaditikandoi
87% match
Loading thumbnail…

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 is rendered as an SVG using D3 v5, with a linear scale for the population axis and a band scale for country names. It demonstrates custom axis formatting, converting values to billions, and removes default axis lines. Data is loaded from a CSV file and processed before rendering.

Aanummunirmughal
87% match