Bar chart

100%

Bar chart - Sekule pocet obyv

✓ Published0🌍 Public

Last edited Jan 24, 2021

Created on Jan 24, 2021

This bar chart visualizes the population of Sekule from 1996 to 2019, using steel-blue rectangles to represent yearly counts. Data is loaded from a CSV file via the D3 `csv` function, and the chart is rendered as an SVG. The example uses D3 v6 to select the SVG element and apply the height and width attributes. The chart shows a generally increasing trend, with values rising from 1,569 in 1996 to 1,782 in 2019.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a bar chart

A horizontal bar chart ranks Slovak municipalities by their 2019 population, using data from a local CSV file. The chart displays each city district’s name on the y-axis and the population value on the x-axis. Built with d3.v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering rectangular bars with an SVG `rect` element. Axes are generated via `axisLeft` and `axisBottom`, and the bars are styled with a steelblue fill via CSS.

Kkhuton

71% match

Loading thumbnail…

This bar chart displays yearly counts from a CSV dataset, with steel-blue rectangles representing each year’s value. The visualization uses D3 v5 to load and parse the data, then applies `scaleLinear` for the horizontal axis and `scaleBand` for vertical positioning. SVG elements are appended directly to the chart, with axes omitted from the final rendering. The bars scale in width according to the year values while maintaining equal heights for each band.

EErik Rudhe

71% match

Loading thumbnail…

Muj prvni Bar Chart 3:15:00

A bar chart displays population sizes for ten countries, including China, India, and the USA, with a Czech Republic entry also present. The chart uses an SVG rendering with D3 v6, employing `d3.scaleLinear` for the quantitative x-axis and `d3.scaleBand` for the categorical y-axis. Data is loaded asynchronously from a CSV file via `d3.csv`, with population values multiplied by 1000 during preprocessing.

Hhanulik.ondrej@gmail.com

70% match

Loading thumbnail…

Bar Chart

This bar chart visualizes the population of a region from 1950 to 2020, with population values multiplied by 1,000 and displayed on a linear scale. The chart uses horizontal bars, with years on the y-axis and population on the x-axis, rendered as SVG rectangles. The implementation leverages d3.v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and loads data from a CSV file.

JJari Sedergren

70% match

Loading thumbnail…

Bar Chart Visualization

This bar chart displays the population of various countries from a CSV dataset, using steel blue bars on a gray background. D3.js v7 loads the data via `d3.csv` and renders the visualization as SVG rectangles scaled with `d3.scaleBand` and `d3.scaleLinear`. Each bar includes a white text label above it showing the population value. The chart is fixed at 600 by 400 pixels within a styled container div.

HHarshithaAmbilpur

70% match

Loading thumbnail…

Bar Chart

A bar chart displays population counts for ten countries, using horizontal bars sorted by descending value with China and India leading. The visualization loads data from a CSV file, parses population figures, and renders SVG rectangles via D3 v5. It uses `d3.csv`, `scaleLinear` for the quantitative x-axis, `scaleBand` with padding for categorical y-axis placement, and configures `axisLeft` and `axisBottom` for ticks. Steelblue bars are drawn on a 960×500 canvas with explicit margins.

Nneydareh

69% match

Loading thumbnail…

Bar Chart with Sequential colors

This example shows the population growth of Bangladesh from 2000 to 2016 as a bar chart, with bars colored on a sequential blue scale using colorbrewer.Blues[7] to reflect increasing population values. The visualization includes axes, rotated year labels, a color legend rendered via d3.legendColor, and a title. It parses data from a CSV file using d3.csv, renders SVG rectangles positioned with d3.scaleBand and d3.scaleLinear, and uses d3.scaleQuantize to map population values to the color range.

FFiroozeh Kaveh

69% match

Loading thumbnail…

Bar Chart

This bar chart displays population counts for ten countries, using horizontal bars encoded by length, with data loaded from a CSV file. The SVG visualization relies on D3 v5’s `select` and `csv` methods to fetch and parse the data, then appends `rect` elements to the chart. Population values are converted from thousands to raw numbers via unary plus multiplication. The chart’s styling is defined in an external stylesheet, with axes and labels positioned using D3’s scale and axis components, though the code snippet only shows the initial rendering setup.

LlesserGod

69% match