Skip to main content
SimilarExport ZIP
100%

Activity6_Task2_Poorna

✓ Published0🌍 Public
Ppoornachander510@gmail.com
Last edited Oct 25, 2024
Created on Oct 25, 2024
Forked from Activity6_Task2

This example visualizes the distribution of IMDb movie ratings across six genres, using a stacked horizontal bar chart where each bar segment represents the percentage of titles within rating ranges from below 5.0 to above 8.5. The chart displays genre names on the y-axis and percentage values on the x-axis, with colors distinguishing each rating category. Built with D3 v7, the visualization uses `d3.stack()` to compute the stacked data, `d3.scaleOrdinal` for categorical colors, and `d3.scaleBand` and `d3.scaleLinear` for positioning. Interactive tooltips appear on mouseover to show precise percentage values for each genre and rating combination. The data comes from a local CSV file loaded asynchronously.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

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
92% match
Loading thumbnail…

Activity6_Task2

This example visualizes the distribution of IMDb movie ratings across six genres, using stacked horizontal bars to show the percentage of movies in five rating bins from "below 5.0" to "above 8.5." The chart employs D3 v7’s `d3.stack`, `d3.scaleOrdinal` with a categorical color palette, and `d3.scaleBand` for the genre axis. Interactive tooltips appear on mouseover, displaying the exact percentage for each genre-rating segment. Data is loaded from a local CSV file and rendered as SVG.

Ggroup118sai@gmail.com
92% match
Loading thumbnail…

Activity6_Task2

This example visualizes the distribution of IMDb movie ratings across six genres using a stacked horizontal bar chart. The chart displays the percentage of movies falling into five rating categories, from below 5.0 to above 8.5, with each genre represented as a single bar composed of color-coded segments. The visualization uses d3.stack to transform the data, d3.scaleOrdinal for coloring, and d3.scaleBand and d3.scaleLinear for positioning. Interactive tooltips appear on mouseover, revealing exact percentages for each rating segment within a genre. Data comes from a CSV file loaded via d3.csv.

Ssumanthnaidu213@gmail.com
92% match
Loading thumbnail…

Activity6_Task2

This example visualizes the distribution of IMDb movie ratings across six genres using a stacked horizontal bar chart. Each bar segment represents the percentage of movies within a rating range (e.g., below 5.0, 5.0–6.5), with a legend on the right. Built with D3 v7, it uses `d3.stack`, `d3.scaleOrdinal`, `d3.scaleBand`, and `d3.scaleLinear` to structure the data, while mouse events and a custom tooltip display exact percentages on hover. The chart is rendered as SVG with a CSV data source.

Ppnamitha46@gmail.com
92% 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. It shows the percentage of movies falling into five rating brackets, from below 5.0 to above 8.5, with each genre represented as a distinct bar. The chart is built with D3 v7, using d3.stack() to compute the stacked segments, d3.scaleOrdinal() for color encoding, and d3.scaleBand() for the categorical y-axis. Interactive tooltips reveal exact percentages on mouseover, using d3.select() and element event handlers. The data comes from a CSV file containing genre and rating proportion values.

Lleelakrishnadivi7@gmail.com
92% match
Loading thumbnail…

Activity6_Task2

This example visualizes IMDb movie rating distributions across six genres using a stacked horizontal bar chart. Each bar represents a genre, segmented into five rating categories from "below 5.0" to "above 8.5," with segment widths proportional to the percentage of movies in that category. The code loads data from a local CSV file and uses D3 v7 APIs including `d3.stack`, `d3.scaleOrdinal`, `d3.scaleBand`, and `d3.scaleLinear` to construct the chart. Interactive tooltips appear on mouseover, displaying the exact percentage for each rating segment, with opacity changes highlighting the hovered bar portion.

Hhemalathayella@my.unt.edu
91% match
Loading thumbnail…

Activity6_Task2

This example visualizes the distribution of IMDb movie ratings across six genres using a stacked horizontal bar chart. The chart displays the proportion of films in each rating category, from below 5.0 to above 8.5, with genres ordered along the y-axis and percentage values on the x-axis. The code loads data from a CSV file, processes it with d3.stack, and renders the SVG using d3.scaleBand, d3.scaleLinear, and d3.scaleOrdinal. Interactive tooltips appear on mouseover to show exact percentages, implemented with D3 event handlers.

Ttarun.chintada46@gmail.com
91% match
Loading thumbnail…

Activity6_Task2

This visualization shows the distribution of IMDb movie ratings across different genres, using a stacked horizontal bar chart where each bar represents a genre and segments represent percentage ranges from "below 5.0" to "above 8.5". The chart uses a diverging color scheme with five distinct colors. Built with D3.js v7, the code employs `d3.stack()` with keys from the data columns, `d3.scaleBand()` for the y-axis, and `d3.scaleLinear()` for the x-axis percentage scale. Interactive tooltips display exact percentages on hover, while data is sourced from a CSV file containing genre-specific rating proportions.

Llokasaivenkatatammineedi@my.unt.edu
91% match