Skip to main content
SimilarExport ZIP
100%

Activity6_task2

✓ Published0🌍 Public
Vvemurisuchitha@gmail.com
Last edited Apr 14, 2024
Created on Apr 14, 2024
Forked from Hello VizHub

This chart displays the distribution of IMDb movie ratings across five rating bins, from "below 5.0" to "above 8.5," broken down by six genres including Documentary, Drama, and Action. Each horizontal bar is a stacked segment, proportional to the percentage of movies in each rating category for that genre. The visualization is built with D3 v7, using `d3.stack()` and `d3.scaleOrdinal()` for color mapping, and SVG rendering. Interactive tooltips reveal the exact percentage values for each rating segment. Data is sourced from the provided `data.csv` file.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Task2

This chart visualizes the distribution of IMDb movie ratings across six genres, using horizontal stacked bars where each segment represents a rating bucket from "below 5.0" to "above 8.5" as a percentage of total films. Hovering a segment highlights it and shows the exact percentage via a tooltip. Built with D3 v7, the code loads data from a CSV, stacks values using `d3.stack`, maps categories through `d3.scaleOrdinal` for colors, and renders axes with `d3.axisBottom` and `d3.axisLeft`. SVG output includes a title and axis label.

Kkondaveeti.bhargavi7780@gmail.com
94% match
Loading thumbnail…

Activity6_task2

This chart visualizes the distribution of IMDb ratings across six movie genres, showing the proportional share of films within each rating category from "below 5.0" to "above 8.5" as stacked horizontal bars. The code uses d3.v7 with SVG rendering and d3.stack() to generate the stacked layout, d3.scaleBand() for the genre axis, and d3.scaleLinear() for the percentage scale. Interactive tooltips display exact percentages on mouseover, while the data is loaded from a CSV file containing aggregated genre-rating proportions.

Vvishnupriyapalagiri@gmail.com
93% match
Loading thumbnail…

Activity-6-Task2

This chart visualizes the distribution of IMDb movie ratings across different genres, with each genre’s ratings segmented into five ordered categories from “below 5.0” to “above 8.5.” Using a stacked bar chart, the height of each bar segment encodes the percentage of films in that rating bracket. The visualization is built with d3.scaleLinear, d3.scaleBand, and d3.stack, and includes interactive tooltips for each segment. Data is loaded from a local CSV file, and the SVG rendering uses a color scale with five distinct hues.

Kkotasc18@gmail.com
93% match
Loading thumbnail…

Activity6_Task2

This visualization shows the distribution of IMDb movie ratings across six genres, with each genre displayed as a horizontal stacked bar chart broken into five rating categories from "below 5.0" to "above 8.5". The percentages reveal how genres like Documentary skew toward higher ratings, while Action films cluster in the lower ranges. Using D3 v7 with SVG rendering, the code builds the stacked layout via `d3.stack()`, scales positions with `d3.scaleLinear` and `d3.scaleBand`, applies a custom ordinal color scale, and implements interactive tooltips on mouseover to display exact percentage values for each rating segment.

Nnikhilthoutu24@gmail.com
93% match
Loading thumbnail…

Activity6_task 2

This stacked bar chart visualizes the distribution of IMDb ratings across six movie genres, with each bar segmented into five rating ranges from below 5.0 to above 8.5. The chart uses a horizontal layout with percentage scales, enabling quick comparison of rating patterns between genres like Documentary and Action. Built with D3 v7, the visualization employs `d3.stack()` to compute stacked series, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the quantitative x-axis. Interactive tooltips, implemented through mouse events, display exact percentages for each rating segment on hover, with the data sourced from a CSV file.

Ssagipavan2385@gmail.com
93% match
Loading thumbnail…

Activity_6 Task-2

This example visualizes the distribution of IMDb movie ratings across six genres using a stacked horizontal bar chart. The chart shows the percentage of movies falling into five rating brackets, from "below 5.0" to "above 8.5", with each genre represented by a single bar divided into colored segments. The visualization loads data from a CSV file and uses D3 v7 APIs including `d3.stack`, `d3.scaleOrdinal`, `d3.scaleLinear`, and `d3.scaleBand` to compute stacking, assign colors, and position bars. Interactive tooltips display exact percentages on mouseover, implemented with D3 event handlers.

Kkesava
93% match
Loading thumbnail…

Activity6_Task2

This visualization shows the distribution of IMDb ratings across six movie genres using stacked horizontal bars, with each genre displaying the percentage of films in five rating categories from "below 5.0" to "above 8.5." The chart makes it clear that Documentary films have the highest proportion of high ratings, while Action movies concentrate heavily in the lowest rating bracket. Built with D3 v7 and rendered as SVG, the code uses `d3.stack()` to create stacked segments, `d3.scaleBand()` for the categorical genre axis, and `d3.scaleLinear()` for the percentage axis. Interactive hover effects trigger tooltips displaying exact percentage values, and the visualization loads data from a local CSV file.

AAftab Hussain
93% match
Loading thumbnail…

Activity6_Task2

This stacked bar chart displays the distribution of IMDb ratings across different movie genres, with each bar segmented into five rating categories from "below 5.0" to "above 8.5" and expressed as percentages. The visualization uses D3 v7's `scaleOrdinal` for color encoding and `stack` for data transformation, rendering as SVG. The chart features a horizontal layout with genre labels on the y-axis and percentage ticks on the x-axis. Interactive tooltips reveal the exact percentage for each segment on hover, with opacity changes providing visual feedback. Data comes from the included `data.csv` file, and the styling uses custom fonts and CSS.

Gganeshseeram5decem@gmail.com
93% match