IT return Bar Chart

100%

IT return Bar Chart

✓ Published0🌍 Public

Last edited Apr 26, 2022

Created on Apr 26, 2022

This bar chart displays the one-year return of the top 10 most populous IT companies, sorted by company name along the vertical axis and return percentage on the horizontal axis. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis, rendering SVG rectangles as marks. The data comes from a CSV file of company returns, loaded via `d3.csv`, with tooltips showing exact values and axes labeled with tick marks and a descriptive title.

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…

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

78% 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

77% match

Loading thumbnail…

Bar Chart

This bar chart displays the top 10 companies with the highest number of laid-off employees, sourced from a CSV file. It uses React for component management and D3 v5 for rendering an SVG with scaleBand and scaleLinear axes. The bars are colored with a blue gradient based on index, and the data is sorted in descending order to emphasize the largest layoffs.

Kkartheekgurijala2023@gmail.com

77% 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

77% match

Loading thumbnail…

Stylized Bar Chart

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.

TTejaswi@3271

77% match

Loading thumbnail…

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

This bar chart displays the top 10 most-liked companies for crypto, based on social sentiment analysis data loaded from a CSV file. The visualization uses React and D3.js v5 to render SVG marks and channels, with a band scale for the categorical y-axis and a linear scale for the quantitative x-axis. Each company is represented as a rectangular bar, with the width encoding the number of likes, and axis ticks are generated using `scaleLinear.ticks`. The chart includes a styled title and uses a custom React component with `useState` and `useEffect` to fetch and process the data.

RRohithReddy-thoughts

77% match

Loading thumbnail…

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

This visualization displays the top 10 most-liked companies for stocks and crypto using a horizontal bar chart. The bars are rendered as SVG rectangles, with orange fills atop a green background, and the chart includes axis tick marks and labels. The code loads data from a CSV file using `d3.csv`, then uses a React component with `useState` and `useEffect` hooks to manage state. D3’s `scaleBand` and `scaleLinear` map company names and like counts, while the chart is drawn with JSX inside an SVG element, combining React’s declarative rendering with D3’s data utilities.

HHarishma Nallala

77% match