harsha act6 que2

100%

harsha act6 que2

✓ Published1🌍 Public

Last edited Apr 3, 2024

Created on Apr 3, 2024

A stacked bar chart displays the percentage of five rating levels across different movie genres, with hover tooltips revealing exact percentages. The visualization uses d3.stack() to compute stacked series and d3.scaleBand() for the categorical y-axis. SVG elements render the chart, while a tooltip div shows values on mouseover, with d3.format() controlling decimal precision. Data is loaded from irisdata.csv, though the dataset appears mislabeled as iris species rather than movie genres.

AI-generated description

The impact of genre on movie ratings

This stacked bar chart gives the percentage of each rating level within different movie genres. The aim is to show the impact of genre on movie ratings. When the mouse hovers over each bar, you can see pop-ups of accurate percentage of each rating level within each genre. Total percentage is 1, representing 100%.

MIT Licensed

Similar vizzes

Loading thumbnail…

harsha act6 task2

This stacked bar chart shows the distribution of IMDb movie ratings across six genres, using horizontally stacked segments to represent the percentage of films falling into five rating brackets from below 5.0 to above 8.5. The visualization highlights how genres like Documentary skew toward higher ratings, while Action films cluster in lower ranges. Hovering over a segment displays the exact percentage via a tooltip. The chart is built with D3 v7, using d3.stack() to compute the stacked series, d3.scaleLinear and d3.scaleBand for positioning, and SVG rendering with mouse event handlers for interaction.

Ssriharshakondakindi@gmail.com

91% match

Loading thumbnail…

Activity-6 Task2

This stacked bar chart visualizes the distribution of IMDb movie ratings across six genres, showing the proportion of films falling into five rating bands from below 5.0 to above 8.5. Each genre’s stacked bar sums to 100%, with color-coded segments revealing how documentary and animation films skew toward higher ratings while action movies concentrate in lower ranges. The visualization uses d3.stack() to compute layered data, d3.scaleOrdinal() with a custom color palette, and d3.scaleBand() for the genre axis. Hovering over any segment triggers a tooltip displaying the precise percentage, implemented through mouse events on SVG rectangles created via d3.selectAll().enter().append(). The data comes from a CSV file containing pre-aggregated percentages for each genre and rating category.

Hharshaps15@gmail.com

86% match

Loading thumbnail…

Activity6_2

This stacked bar chart visualizes the distribution of average movie ratings by genre, showing the percentage breakdown across five rating categories. The visualization uses d3.stack() to compute stacked series and d3.scaleOrdinal() for color encoding, with a tooltip revealing exact percentages on hover. The SVG rendering employs d3.axisBottom() with percentage formatting and a custom color palette, while a band scale positions genres vertically. Mouseover events trigger opacity changes and display the tooltip with formatted rating percentages.

Rrishikareddy181@gmail.com

86% match

Loading thumbnail…

Activity_6_Tutorial 2

This stacked bar chart visualizes the distribution of IMDb movie ratings across six genres, with each bar segment representing the percentage of titles falling into five rating brackets. The visualization uses D3.js (v7) to load CSV data and render SVG elements, employing `d3.stack()` for the stacked layout, `d3.scaleBand()` for the categorical y-axis, and `d3.scaleLinear()` for the percentage x-axis. Interactive tooltips display exact percentages on hover, while color encoding via `d3.scaleOrdinal()` distinguishes each rating category.

HHarsha vardhan reddy Yarmareddy

86% match

Loading thumbnail…

Activity 6_Tutorial Task 2_Harini

This stacked bar chart shows the percentage distribution of IMDb rating levels across six movie genres, with each bar segment representing a rating category from below 5.0 to above 8.5. Hovering over a segment displays a tooltip with the precise percentage for that genre-rating combination. The visualization uses d3.stack() to compute stacked series and d3.scaleOrdinal for color mapping, rendering as SVG with axis labels and a legend. Data comes from a CSV file containing genre and rating proportion columns.

Kkamarthyharini24@gmail.com

86% match

Loading thumbnail…

activity7_question2

This stacked bar chart shows the percentage of each rating level across different movie genres, with hover interactions revealing exact percentages in tooltips. The visualization uses D3.js v7, rendering SVG elements with the `d3.stack()` function to create stacked bars, `d3.scaleBand()` for the x-axis, and `d3.scaleLinear()` for percentages. A color ordinal scale distinguishes rating levels, while axes and a legend are drawn using `d3.axisBottom()`. Data is loaded from a CSV file using `d3.csv()`, though the source contains iris measurements rather than movie ratings.

Nnishwitha.1032@gmail.com

86% match

Loading thumbnail…

Act 6.2

This stacked bar chart shows the percentage distribution of movie rating levels across different genres, demonstrating how genre influences ratings. Each horizontal bar represents a genre, segmented into stacked rating categories totaling 100%. Hovering over a segment reveals the exact percentage for that rating within the genre via a tooltip. Built with d3.v7, the visualization uses `d3.stack()` and `d3.scaleOrdinal` for colors, with data rendering as SVG rectangles.

VVenkataSatyaRamKamini@my.unt.edu

86% match

Loading thumbnail…

DV TASK-8(Q2)

This stacked bar chart shows the distribution of movie ratings within different genres, with each segment representing the percentage of a specific rating level. Hovering over a segment reveals a tooltip displaying the exact percentage for that rating and genre. Built with D3.js v7, the visualization uses `d3.stack()` for data processing, `d3.scaleBand()` for the genre axis, and `d3.axisBottom()` for the percentage axis. The SVG renders color-coded rectangles, and the tooltip uses HTML positioning. The chart is based on rating data from the `iris.csv` dataset.

Nnagabinduk2023@gmail.com

85% match