ICE-6 Bar Graph

100%

ICE-6 Bar Graph

✓ Published0🌍 Public

Last edited Mar 23, 2023

Created on Mar 23, 2023

Forked from Fork of Fork of ICE-6 Bar Graph

This horizontal bar chart displays the number of subscribers across different content categories among the top 1000 YouTube channels. The visualization uses React with D3 v5, employing `scaleBand` for categorical y-axis positioning and `scaleLinear` for the quantitative x-axis. Data is loaded via `d3.csv` from a GitHub gist, with the top 12 categories shown. The SVG rendering includes red gridlines and text labels generated through D3’s axis tick methods, while React’s `useState` and `useEffect` manage asynchronous data loading.

AI-generated description

A whole smiley face

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE - 6

This example displays the top 12 YouTube channels ranked by video count as a horizontal bar chart. Using React hooks for state management and data loading, it reads CSV data from a GitHub gist via `d3.csv`. D3’s `scaleBand` and `scaleLinear` map channel names and video counts to SVG rectangles, while custom tick marks and labels draw axes without using `axisLeft` or `axisBottom`. The chart’s height is reduced by an extra 100 pixels, trimming the bottom margin. Data originates from a YouTube dataset, distinct from the UN population source mentioned in the README.

MMahitha-Moparthi

89% match

Loading thumbnail…

Interactive Bar Chart Bonus ICE

This interactive bar chart displays the share of subscribers across YouTube channel categories, using a sample dataset. Hovering over a bar dims it, highlights its value with a dashed reference line, and labels every other category with its percentage difference from the selected one. The visualization uses D3 v5 with a React scaffold, rendering SVG bars with mouseenter and mouseleave handlers, value text, axes, and grid lines via d3.axisBottom and d3.axisLeft.

SSrujana390

85% match

Loading thumbnail…

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

This visualization shows the top 15 YouTube channels by follower count using horizontal bars. The chart renders an SVG with D3 scales for positioning, while React manages the component state and lifecycle. Data is loaded asynchronously via d3.csv from a GitHub-hosted CSV file, with the d3.scaleBand and d3.scaleLinear APIs mapping channel names and follower values to screen coordinates. A custom grid of tick marks and labels is drawn manually rather than using d3.axisBottom.

IIndhuKrishnaraj

85% match

Loading thumbnail…

ICE - 7 Pie Chart

This pie chart visualizes the top 10 YouTube channels by genre, with each slice sized according to channel count. The visualization uses D3 v5 APIs including `pie()`, `arc()`, and `scaleOrdinal()` with `schemeCategory10` for color encoding. Data is loaded from a CSV via `d3.csv` and rendered as SVG paths, with a legend showing each genre and its corresponding channel count. The code sorts the data descending before slicing the top 10 entries.

MMahitha-Moparthi

82% match

Loading thumbnail…

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

This example displays a bar chart of the top 15 Instagram influencers by follower count, using horizontal bars encoded by channel name on the y-axis and follower totals on the x-axis. Built with React and D3 v5, it loads CSV data from a GitHub gist via `d3.csv` and renders SVG marks and channels using `scaleBand`, `scaleLinear`, and `rect` elements. Axes are drawn manually with `ticks` and grid lines, all managed through React's `useState` and `useEffect` hooks.

NNithish Kumar

81% match

Loading thumbnail…

ICE-6

This horizontal bar chart visualizes the top 20 countries by population, with red bars extending from a shared baseline. The visualization uses React to manage state and D3 v5’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded asynchronously via `d3.csv` from a GitHub gist. Gridlines and tick labels are manually rendered as SVG elements using D3’s `ticks()` method, with the chart displayed within an SVG container on an HTML page.

Ssri7harsha

80% match

Loading thumbnail…

ICE-6_11540905_DV

This visualization displays the top 10 most populous countries as a horizontal bar chart, with each bar representing the number of followers in millions. The chart uses React for component management and D3 v5 for rendering SVG elements, including scales, axes, and gridlines. Data is loaded from a CSV file using `d3.csv` and processed with `useState` and `useEffect` hooks. The visualization employs `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with bars colored in the default SVG rect style.

Nnagasai-gummadi

80% match

Loading thumbnail…

ICE-6 DV

A horizontal bar chart visualizes the top 10 most populous countries in 2019, using a React component that loads data from a CSV URL via `d3.csv` and renders with SVG. The chart employs `d3.scaleBand` for the y-axis country categories and `d3.scaleLinear` for the x-axis population values, with grid lines and axis labels styled via SVG elements. The code uses D3 v5 and React 16.9, with the chart title "Top 10 Most Populous Countries" displayed above the visualization.

Ssowmyanagula@my.unt.edu

80% match