Fork of IMDb Movie ratings

Fork of IMDb Movie ratings

This stacked bar chart displays the percentage distribution of IMDb ratings across six genres. It reveals, for example, that documentaries have the highest share of top ratings, while action films are most concentrated in the lowest rating category. The visualization uses the D3.js library (d3.v7) to render the chart as an SVG. It employs `d3.stack` and `d3.scaleOrdinal` to create the stacked segments, and a mouseover event triggers a tooltip showing the exact percentage for each genre and rating level, with data loaded from a CSV file.

KKetaki789

96% match

Fork of IMDb Movie ratings

This stacked bar chart uses D3.js v7 to show how IMDb ratings vary across movie genres, with each genre’s bar segmented by five rating ranges from below 5.0 to above 8.5. The visualization emphasizes proportional comparisons, as each genre’s segments sum to 100%, and hovering over any segment reveals the exact percentage via a tooltip. The code uses `d3.stack()` to compute the stacked layout, `d3.scaleBand` for the y-axis, and `d3.scaleLinear` for the x-axis, rendering SVG rectangles with a dark theme. Data comes from the included CSV file, showing genres like Documentary, Drama, and Action.

95% match

Fork of IMDb Movie ratings

95% match

Fork of IMDb Movie ratings

This stacked bar chart shows the percentage of movie ratings across six genres, with each bar partitioned into five rating levels from “below 5.0” to “above 8.5.” Hovering over a segment reveals its exact percentage via a tooltip. The visualization uses D3 v7’s `d3.stack` to compute the stacked proportions and `d3.scaleOrdinal` for color encoding, rendering as SVG with axes from `d3.axisBottom` and `d3.axisLeft`. Data comes from a local CSV file summarizing IMDb rating distributions.

IIan Mac Moore

95% match

Fork of Fork of IMDb Movie ratings

This stacked bar chart shows the percentage distribution of IMDb movie ratings across six genres, segmented into five rating brackets from below 5.0 to above 8.5. The visualization uses d3.stack() to layer the rating categories and d3.scaleOrdinal with a custom color scale for the segments. Hovering over any bar segment triggers a tooltip displaying the exact percentage for that genre and rating bracket via d3.select and mouse event handlers. Data comes from a local CSV file, rendered as SVG with axes created using d3.axisBottom and d3.axisLeft.

Fork of IMDb Movie ratings

This visualization uses a stacked bar chart to show the percentage of movies within six genres across five rating bands, from below 5.0 to above 8.5 on IMDb. Each bar is segmented into colored strips representing a rating category, with the full bar totaling 100% for the genre. The chart is built with D3 v7, using `d3.stack()` on the CSV data to compute the stacked segments, `d3.scaleBand` for the y-axis categories, and `d3.scaleLinear` for the percentage x-axis. Hovering over any rectangle triggers a tooltip that displays the exact percentage for that genre-rating combination via `d3.select` and event handlers. Text labels are rendered as SVG elements, and the chart is styled with custom CSS importing the Yanone Kaffeesatz font.

Jjingwg3@163.com

Fork of IMDb Movie ratings example

This stacked bar chart displays the percentage distribution of five IMDb rating categories (below 5.0, 5.0-6.5, 6.5-7.5, 7.5-8.5, above 8.5) across six movie genres, visualizing how genre impacts audience ratings. Using d3.v7 with SVG rendering, the chart employs `d3.stack()` and `d3.scaleOrdinal` to create stacked segments, interactive hover tooltips via `d3.select` reveal exact percentages, and the data is loaded from a CSV file.

MMahitha-Moparthi

Fork of IMDb Movie ratings example

This stacked bar chart visualizes the distribution of movie ratings across six genres, with each bar segment representing the percentage of films falling into one of five rating bands. Hovering over a segment reveals the exact percentage via a tooltip. The chart uses D3 v7’s `d3.stack`, `d3.scaleOrdinal`, `d3.scaleLinear`, and `d3.scaleBand` to build the SVG visualization from CSV data, with custom tooltip handling and axis labels.