Bar Chart with D3

100%

Bar Chart with D3

✓ Published1🌍 Public

Last edited Sep 3, 2026

Created on Feb 21, 2022

This bar chart displays the most successful film distributors from 1995 to 2021, ranked by the number of top films each distributor released. The visualization uses D3.js (v7) to render SVG elements, with a linear scale mapping movie counts to horizontal bar lengths and a band scale positioning each distributor vertically. The code includes gridlines, axis labels, and value annotations generated through D3 selections and joins. Data is loaded from a CSV file via `d3.csv` and sorted in descending order before rendering. Tooltips and interactive features are not implemented.

AI-generated description

Assignment 4 part C

Bar Chart

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Char in D3

This bar chart visualizes the most successful film distributors from 1995 to 2021, ranking them by movie count on a horizontal layout. The visualization uses D3 v7 with an SVG rendering approach, employing `d3.scaleLinear` for the numeric axis and `d3.scaleBand` for the categorical distributor positions. Data is loaded from a CSV file of billionaires via `d3.csv`, with gridlines drawn as SVG lines and bars styled in steelblue. The chart includes axis labels for "Movies" and "Distributor," with animated text elements providing context.

EEunice Tu

93% match

Loading thumbnail…

Bar Chart with p5.js

This p5.js bar chart displays the most successful film distributors from 1995 to 2021, ordered by the number of movies they distributed. The visualization uses a classic bar-and-axis layout, with distributor names on the y-axis and a count scale on the x-axis. It loads CSV data via the `loadTable()` function from a GitHub repository, then renders the chart using `rect()` and `text()` calls within the `draw()` loop. The chart includes gray gridlines, axis labels, and a blue fill for the bars, highlighting the quantitative ranking.

OOlha

88% match

Loading thumbnail…

Bar Chart p5.js

This bar chart displays the most successful film distributors by movie count from 1995 to 2021. It loads CSV data from a GitHub raw URL using p5.js’s `loadTable` in `preload()`, then renders bars with `rect()` and text labels in `draw()`. The chart includes grid lines, axis labels, and a title, all drawn directly on a 500×350 canvas created with `createCanvas`. The data source is visible as a remote CSV file, and the visualization uses static, hard-coded tick positions rather than dynamic scaling.

OOlha

84% match

Loading thumbnail…

creating a bar chart using d3.js

This example displays a horizontal bar chart ranking films by their audience scores, using a CSV dataset with movie titles and percentages. The visualization renders as SVG elements, with the y-axis positioning film names and the x-axis scaling scores from zero to the maximum value. Built with D3 v7, the code uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, while `csv()` loads the external data file. Rectangles are appended to a translated group, with bar widths proportional to each score.

RRaja Srinivas Nelluri

78% match

Loading thumbnail…

Fork of Movie Ranks

This horizontal bar chart displays the top 50 highest-grossing films by lifetime gross revenue. Each bar’s length corresponds to the film’s rank, using a linear scale for the x-axis and a categorical band scale for the y-axis. The visualization is rendered as an SVG using D3 v5, with axes customized via `d3.axisLeft` and `d3.axisBottom`. Data is loaded from a CSV file using `d3.csv`, and the chart includes a title and an x-axis label.

Ssumitradevipolina

77% match

Loading thumbnail…

Movie Ranks

This bar chart shows the top 50 highest-grossing movies by lifetime gross, with each bar representing a movie title ordered by rank. The chart uses D3 v5 with an SVG rendering approach, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Data is loaded from a CSV file and processed using `d3.csv`, with ranks scaled to thousands. The visualization customizes axes with `axisLeft`, `axisBottom`, and custom tick formatting, and highlights the data with green rectangles.

SSharmilaChowdhari

76% match

Loading thumbnail…

Fork of Let's make a Bar Graph with D3.js

This D3.js v7 bar chart visualizes movie collection totals from a CSV file, with movie names on the y-axis and collection amounts on the x-axis. The SVG rendering uses `scaleLinear` for the quantitative axis and `scaleBand` for the categorical axis, drawing purple rectangles for each movie. Labels for both axes are added via SVG text elements, with the y-axis label rotated 90 degrees. The chart reads data from `data.csv` using the `csv` function and applies a margin-based layout within the 960x500 SVG canvas.

PPriyanka11128

75% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays movie budgets against their titles, with a color gradient from IndianRed to red encoding budget magnitude and IMDB scores revealed on hover. Built with d3.scaleLinear for the x-axis and color mapping, and d3.scaleBand for the categorical y-axis. The visualization includes an interactive circle that toggles bar widths using CSS-like transitions via the transitionWidth helper. Data comes from a local CSV file containing movie titles, budgets, and IMDB scores, rendered as SVG with d3.axisLeft and d3.axisBottom for axes.

Vvasukipriyam

75% match