Fork of Fork of Data Visualization - Project 1

100%

Fork of Fork of Data Visualization - Project 1

✓ Published0🌍 Public

Last edited Apr 26, 2023

Created on Apr 26, 2023

Forked from Fork of Data Visualization - Project 1

This bar chart displays hotel booking rates by country, using the top 100 records from a CSV dataset. The visualization uses D3’s `scaleBand` and `scaleLinear` to map countries and booking percentages, with red bars on a pink background. Axes are customized manually, with red tick lines and large blue tick labels. React manages the component state, loading data via D3’s `csv` function, and renders the SVG chart with a gray border.

AI-generated description

This bar chart shows population of the top 10 most revenue atheletes. It also demonstrates customization of D3 axes.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Data Visualization - Project 1

This bar chart displays hotel booking rates by country, ranking the top 100 countries based on the percentage of bookings they receive. The visualization uses D3.js v5 within a React component to render an SVG, with customized axes and red-styled gridlines and tick labels. Data is loaded from an external CSV via `d3.csv`, while `scaleBand` and `scaleLinear` map the categorical and numerical values to coordinates.

Rrajasrilekkala

95% match

Loading thumbnail…

Fork of bar chart with react and d3

This fork of a bar chart combines React and D3 to visualize population data for the top ten countries, loaded from a CSV file via a Gist URL. The SVG rendering uses D3's `scaleBand` for the categorical y-axis, `scaleLinear` for the numerical x-axis, and `max` to determine the domain. React manages the data state, displaying a "Loading..." message until the CSV is parsed. Both x-axis gridlines with tick labels and y-axis country labels are drawn using SVG elements within a transformed group.

Mmeghshah612

81% match

Loading thumbnail…

Fork of ICE-6 Bar Graph Prathyusha

This bar chart visualizes hotel booking costs across 12 destinations, using a horizontal layout where bar length encodes the price per 24 hours from a CSV dataset. The React component loads data via D3’s `csv` function, then renders SVG rectangles scaled by `scaleLinear` for cost and `scaleBand` for place names. Grid lines and axis labels are manually generated using D3’s `axisBottom` and custom tick mappings, with red vertical lines marking each cost increment.

Pprathyusha-reddy-arch

80% match

Loading thumbnail…

Fork ICE-6 Bar Graph

This bar graph, titled "Hotel Booking System," displays the cost per 24 hours for twelve different places. The visualization uses a horizontal bar chart, with each bar's length representing the cost, and a linear scale for the x-axis. Built with React and D3 v5, the code fetches data from a CSV file, uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis, and renders the chart as an SVG with red gridlines and axis labels.

Pprathyusha-reddy-arch

80% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, using React for the user interface and D3 v5 for the underlying data handling and SVG rendering. It loads the dataset from a remote CSV file, parses the 2020 population column, and maps each country name to a categorical y-scale while scaling the bar widths with a linear x-scale. The chart includes axis ticks and labels generated via D3’s `scaleBand`, `scaleLinear`, and `max` functions, with React components constructing the SVG elements.

KK V VINITHA

80% match

Loading thumbnail…

Fork of Fork of Rendering Data with React

This bar chart displays the top 10 countries by projected 2020 population from a CSV dataset. It uses React’s `useState` and `useEffect` hooks to fetch and parse the data with `d3.csv`, then maps the data to SVG rectangles. D3’s `scaleBand` positions bars on the y-axis, while `scaleLinear` scales the x-axis based on population values from `d3.max`. The visualization is rendered using `ReactDOM`, producing generic colored rectangles without labels or axes.

AAnthony Zornig

80% match

Loading thumbnail…

Fork of Fork of Fork of Fork of Rendering Data With REACT

This example displays a horizontal bar chart comparing the 2020 populations of the top ten countries from a UN population dataset loaded via `d3.csv`. The visualization uses React state to store the parsed data, and renders SVG elements dynamically. D3’s `scaleBand` and `scaleLinear` position bars and axis ticks, while React’s `useEffect`, `useState`, and `useCallback` manage data fetching and component updates. Axes and gridlines are generated using `xScale.ticks()`, with text labels for both countries and population values.

Nnkarinti

80% match

Loading thumbnail…

Fork of Making a Bar Chart with React & D3 P2

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered with React components inside an SVG. The code loads CSV data from a GitHub gist using D3’s `csv` utility, then uses React hooks (`useState`, `useEffect`) to manage the data lifecycle. D3’s `scaleBand` positions the country labels on the y-axis, while `scaleLinear` maps population values to bar widths, with axis ticks and gridlines drawn manually. The visualization updates dynamically as the data is fetched and processed.

MMarta

80% match