Stylized Bar Chart

100%

Stylized Bar Chart

✓ Published0🌍 Public

Last edited Mar 6, 2022

Created on Mar 6, 2022

This stylized bar chart displays the top 9 most profitable companies in 2019, using horizontal bars ranked by profit value. Built with React and D3 v5, it renders as an SVG and uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The `useData` hook loads a CSV from a GitHub gist, while custom `AxisBottom` and `AxisLeft` components generate styled tick marks with pink text and orange lines. Hovering over each bar reveals a native SVG tooltip showing the formatted profit value.

AI-generated description

A program that shows the top 10 most populous countries as a bar chart.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-06 Stylized Bar Chart

This bar chart displays the top 9 most profitable companies in 2019, using horizontal bars to compare profit values. The visualization loads CSV data via the `useData` hook and D3's `csv` method, scaling values with `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Profit values are formatted in billions using `format('.4s')`. The chart renders as an SVG using React components, with styled axes and bars defined in CSS, and includes a tooltip on each bar showing the formatted profit value.

TTejaswi@3271

91% match

Loading thumbnail…

ICE-6: Rendering Marks and Channels with React & D3

This example shows the top 9 most profitable companies as a horizontal bar chart using React and D3. It loads CSV data from a GitHub gist, converts profit values to numbers, and renders SVG bars with axes. The visualization uses `d3.csv` for data loading, `scaleBand` and `scaleLinear` for scales, and maps over tick values to create gridlines and labels. React manages the component state with `useState` and `useEffect`, while `ReactDOM.render` mounts the chart. Styling includes custom colored ticks and marks set via CSS classes.

TTejaswi@3271

82% match

Loading thumbnail…

Data Visualization - ICE-6 - Bar chart

This horizontal bar chart displays the top 10 companies by revenue in billions of dollars, sourced from a CSV file. Each bar’s length is proportional to the revenue value, scaled using `d3.scaleLinear`, while company names are positioned with `d3.scaleBand`. The chart renders as an SVG with React, using `d3.csv` to load data and a `useEffect` hook to fetch and parse it. Axis ticks and gridlines are drawn with `d3.axisLeft` and `d3.axisBottom` logic, and red fills highlight the bars.

Ssuchitra2602

80% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most valuable companies, with market values in billions and a green axis label and title. It uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisLeft and d3.axisBottom to render axes. The chart is drawn as SVG rectangles, with the y-axis line and ticks removed, and the x-axis tick format converts values from gigabytes to billions. A React starter is also referenced in the README, though the main implementation relies on plain D3 v5.

Aamiralitah

80% match

Loading thumbnail…

Stylish Bar Chart with real data

A horizontal bar chart displays the closing values for ten product categories, sorted with the largest values at the top. The chart uses React to render SVG elements, with D3 v5 scales (`scaleBand`, `scaleLinear`) and formatting utilities (`format`) to position bars and axes, while CSV data is loaded asynchronously via `d3.csv`. Native SVG `<title>` elements provide tooltips, and the bottom axis labels shorten large numbers (e.g., "B" for billions).

GGayan Priyadarshana

79% match

Loading thumbnail…

Data Visualization - ICE-6 - Bar chart

This bar chart displays the revenue of the world’s top 10 biggest companies in billion dollars, sourced from a CSV file. It highlights how custom D3 axes can be styled with red gridlines, blue tick labels, and adjusted tick font sizes. The visualization is built with React and D3 v5, using `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and rendering rect elements in SVG. Axes are manually constructed by mapping tick values, avoiding the default axis generators.

Ssuchitra2602

78% match

Loading thumbnail…

company list

This example displays a horizontal bar chart of the top 11 companies from a dataset titled “Famous Sports in 2021,” ranked by their serial number. The visualization uses React with hooks to fetch CSV data via d3.csv, then renders SVG rectangles whose lengths encode the serial number values. D3 scales, including scaleBand and scaleLinear, position the bars, while custom tick marks and labels are drawn manually rather than using d3.axisBottom or d3.axisLeft. The chart is styled with a purple fill for each bar.

NNaimisha-M

78% match

Loading thumbnail…

Stylizing Bar Chart

This example shows a horizontal bar chart of the top ten countries by 2020 population, rendered as SVG within a React component. The bars are styled with a teal fill, and both the plot area and labels use a Poppins font, with custom tick colors. The chart reads data from a CSV file provided by the `d3.csv` loader and uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. The code manually creates axis tick marks and uses a `tickFormat` function with `d3.format` to abbreviate large numbers, converting units from "G" to "B".

Aangelathacker123

78% match