Fork of Bar chart

Jjammigumpula.priyanka193@gmail.com

Bar chart

This bar chart shows the top 15 coffee-exporting countries, with Brazil leading in exported metric tons. Horizontal bars encode export volume for each country, with country names on the y-axis and exported coffee amounts on the x-axis. The visualization loads data from a CSV file using D3 v7, sorts and filters the data to the top 15 entries, and renders the chart as SVG using `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for the axes.

93% match

Making a Bar Chart

This example visualizes the top 10 countries by total merchandise exports for 2017, using a horizontal bar chart where bar length encodes export value in trillions. The chart is rendered with D3 v5, using `d3.scaleLinear` for the value axis, `d3.scaleBand` for country categories, and `d3.axisLeft`/`d3.axisBottom` for ticks. Data is loaded from a CSV file using `d3.csv` and multiplied by 1000 to convert from scientific notation. The SVG output styles bars green via CSS.

78% match

Making a Bar Chart

78% match

Fork of dataset - simple bar chart

This fork of the dataset example displays a horizontal bar chart of the top 20 most-traded stocks on Brazil’s B3 exchange, ranked by trading volume. The visualization uses D3 v5 to load CSV data via `d3.csv` and render SVG bars, with `scaleLinear` and `scaleBand` handling the axes. It applies `axisLeft` and `axisBottom`, formats tick labels with `d3.format`, and removes grid lines for a clean look. The chart title notes “Top 20 maiores volumes,” and the bars are styled with a steelblue fill.

EElMITHOS

78% match

Making a Bar Chart

This bar chart visualizes the top 10 countries by total merchandise exports in 2017, sourced from the World Trade Organization. It shows a horizontal bar layout where longer bars represent higher export values, led by China. The visualization is rendered using D3 v5, with index.js leveraging D3 APIs such as `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the SVG chart. The data is loaded from a CSV file, with export values multiplied by 1000, and bars are styled with a steelblue fill.

Fork of Fork of dataset

This bar chart displays the top 20 most heavily traded stocks on the Brazilian B3 exchange, with horizontal bars ranked by trading volume. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG. Data is loaded from a CSV file via `d3.csv` and parsed into numeric values. The chart includes a title, axis labels, and a button element whose click behavior is partially implemented in a separate ES6 module.

SSheshidharreddy

Making a Bar Chart

This bar chart displays the top 10 countries by total merchandise exports in 2017, based on World Trade Organization data. The visualization uses d3.csv to load the data, then applies d3.scaleLinear and d3.scaleBand to map export values and country names, respectively. Bars are rendered as SVG rectangles, with axes generated by d3.axisLeft and d3.axisBottom. The chart omits the x-axis domain starting point, truncating the scale to emphasize differences among leading exporters.

Fork of Bar Chart

This example displays a horizontal bar chart of the top 10 countries by population, using data from a CSV file. It shows the population values as bar lengths, with country names on the y-axis and a linear population scale on the x-axis. The visualization is implemented with D3 v6, using `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load the data, set up scales, render SVG rectangles, and draw axes. Rendering is performed via SVG elements appended to a pre-defined `<svg>` container.

Sshikharpa