question2

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✓ Published1🌍 Public

Last edited Apr 5, 2024

Created on Apr 5, 2024

This stacked bar chart shows the distribution of movie ratings across six genres, with each column divided into five rating bands from "Below 5.0" to "Above 8.5". The visualization reveals how genres like Sci-Fi and Thriller skew toward higher ratings while Fantasy and Adventure spread more evenly. Hovering over any segment displays a tooltip with the exact percentage for that genre-rating combination. The chart uses d3.stack() for data aggregation, d3.scaleBand() and d3.scaleLinear() for axes, d3.axisLeft() and d3.axisBottom() for ticks, and d3.schemeCategory10() for color encoding, all rendered as SVG elements. Data comes from movie.csv.

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

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Question2

This stacked bar chart shows the percentage distribution of movie ratings across different genres, with each horizontal bar broken into colored segments representing rating levels from 'Less than 3' to 'More than 6'. The visualization uses d3.stack() to process the CSV data and d3.scaleBand() for the genre categories on the y-axis, with d3.scaleLinear() mapping percentages on the x-axis. Hovering over any segment triggers a tooltip displaying the exact percentage for that rating level within the genre, while the chart uses d3.axisBottom() and d3.axisLeft() for axes and a color ordinal scale to distinguish rating categories.

Mmeghna.reddy700@gmail.com

94% match

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question 2

This stacked bar chart shows how movie ratings are distributed across six genres, with each bar segmented into five rating categories from “Below 5.0” to “Above 8.5.” The visualization uses d3.stack to compute the stacked segments and d3.scaleOrdinal for color encoding. Hovering over a segment reveals the exact percentage of that rating level within the genre. The chart is rendered as SVG with axes for genre and percentage, and it includes a legend for the rating categories.

Aamshureddy13@gmail.com

93% match

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Activity6_Q2(3)

This stacked bar chart shows how movie ratings are distributed across six genres, with each bar representing the percentage of films falling into rating levels from “Below 5.0” to “Above 8.5.” The visualization uses d3.stack and d3.scaleBand to structure the data, while d3.scaleOrdinal assigns colors from d3.schemeCategory10. Hovering over a bar segment triggers a tooltip displaying the exact percentage via d3.select and style opacity changes. The data comes from movie.csv, rendered as SVG elements with axes and labels styled through external CSS.

Ppmanoj13053@gmail.com

92% match

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activity 6question 2

This stacked bar chart displays the distribution of movie ratings across five genres, segmenting each genre's total percentages into five rating ranges from "Below 5.0" to "Above 8.5". The visualization uses `d3.stack()` to aggregate the data, with `d3.scaleOrdinal` assigning distinct colors to each rating category. Horizontal bars are rendered using `d3.scaleBand` for genres and `d3.scaleLinear` for the percentage axis. Interactive tooltips, implemented with mouseover events, display the exact percentage for each rating segment when hovering, enhancing the data's readability. The chart is built with D3 v7 and rendered as SVG, using data from a CSV file.

Ttsumanth619@gmail.com

92% match

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Question 3

A stacked horizontal bar chart displays the distribution of movie ratings across six genres, with each bar segmented into five rating categories from "below 5.0" to "above 8.5." The chart uses D3 v7's `d3.stack()` and `scaleOrdinal` for color mapping, with `scaleLinear` for the x-axis and `scaleBand` for genres. Tooltips appear on mouseover via `d3.select` and `event.pageX`/`pageY`, showing the exact percentage per rating category. Data originates from a local `data.csv` file rendered as SVG.

GGangumalla Ruchitha Reddy

92% match

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activity-6_question-3

This stacked bar chart shows the percentage distribution of rating levels across different movie genres, revealing how genre influences audience ratings. Hovering over each bar segment displays exact percentages via pop-ups, with each genre’s total summing to 100%. The visualization uses D3.js v7’s `d3.stack()` and `d3.scaleBand()` to create the bars, with `d3.scaleOrdinal()` and `d3.schemeCategory10` assigning colors to rating categories. Data is loaded from a CSV file using `d3.csv()`, and the SVG rendering includes axes generated by `d3.axisBottom()` and `d3.axisLeft()`.

Ssiddhartha gurram

92% match

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Question2

This stacked bar chart displays the percentage distribution of IMDb ratings across six movie genres, with each bar segment representing a rating bracket from "below 5.0" to "above 8.5." The visualization uses the D3.js library (v7) with SVG rendering to create horizontal stacked bars, where hovering over a segment reveals a tooltip showing the exact percentage for that rating category within the selected genre. The data originates from a CSV file containing proportional rating breakdowns per genre. Color-coded categories are distinguished using `d3.scaleOrdinal`, and the interactive hover effects are implemented through D3 mouse event handlers.

Ttejaswiteju9811@gmail.com

92% match

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question 3

This example shows the distribution of IMDb ratings across six movie genres, broken into five rating bands from “below 5.0” to “above 8.5” as proportions of each genre’s total. A stacked bar chart uses `d3.stack` to layer the segments, with `d3.scaleBand` for genres on the y-axis and `d3.scaleLinear` for percentages on the x-axis. Hovering over any segment displays a tooltip, built with D3’s selection and transition methods, showing the exact genre and percentage. The data comes from a local CSV file, and the visualization renders as SVG with a legend positioned to the right.

Vvinaykollapudi@my.unt.edu

92% match