Activity6_Task2_Question2

Ssaibharath7thota@gmail.com

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This stacked bar chart shows the percentage distribution of five rating levels within six product categories, visualizing how category influences ratings. Each bar segment represents a rating range, with hover interactions displaying exact percentages via tooltips. The visualization uses D3 v7 with a stacked layout, ordinal color scaling, and a band scale for categorical positioning. Data is loaded from a CSV file containing pre-calculated proportions, rendered as SVG rectangles with interactive mouse events.

Question 2 activity 6

A stacked bar chart displays product ratings across three categories: low, moderate, and excellent, using percentage proportions loaded from a local CSV file. D3 v7’s `d3.stack` and `scaleOrdinal` assign colors to rating segments, while `scaleBand` positions products on the y-axis and `scaleLinear` maps proportions to bar widths. Interactive tooltips appear on mouseover, showing formatted percentage values for each rating type. The SVG renderer applies axes with gridlines, a title, and axis labels, styled via external CSS.

Sskykarthik97@gmail.com

Ssunny.musku2631@gmail.com

Activity6_Task2

This stacked bar chart shows the percentage distribution of five rating categories across six product types, revealing how ratings vary by genre. The visualization uses D3 v7 with SVG rendering, employing `d3.stack()` to create stacked segments for each rating bucket, `d3.scaleLinear` for the percentage axis, and `d3.scaleBand` for categorical alignment. Hover interactions trigger tooltips displaying exact percentages via mouse events and HTML div elements. The data comes from a CSV file listing product types and their rating proportions, normalized so each row sums to 100%.

Activity6_Question2

A stacked bar chart displays the percentage of five rating levels (Below 5.0, 5.0–6.5, 6.5–7.5, 7.5–8.5, Above 8.5) across six product categories, with each bar totaling 100%. The visualization highlights how rating distributions vary by category. Using d3.stack() and d3.scaleOrdinal for color encoding, the SVG renders horizontal bars via d3.scaleBand and d3.scaleLinear. Interactive tooltips appear on mouseover, showing exact percentage values computed with d3.format, using data from a CSV file.

Jjayanthbalina@gmail.com

HHarinathChakali33@gmail.com

activity_6 question2

This example presents a stacked horizontal bar chart that visualizes the distribution of low, moderate, and excellent product ratings as percentages, with each bar segment representing a rating category. The chart uses D3 v7's stack, scaleLinear, scaleBand, and axisBottom APIs to construct the visualization from a local CSV file. Interactive tooltips display the exact percentage of each rating when hovering over a segment, achieved through event listeners that calculate the value from the underlying data. SVG rendering handles the output, and the chart is enhanced with custom styling from an external stylesheet.

activity6_task2

A stacked horizontal bar chart displays customer satisfaction ratings across five product categories, with segments representing the percentage of responses in each rating level from "Excellent" to "Very Poor." The visualization uses D3 v7 with SVG rendering, employing `d3.stack()` to compute stacked series, `d3.scaleLinear` for the x-axis, `d3.scaleBand` for product categories, and `d3.scaleOrdinal` for color mapping. Interactive tooltips appear on mouseover, showing the exact percentage for each rating segment. Data comes from a local CSV file loaded asynchronously.

TThai Ha Dang

Activity6_Task2_q2_3

This stacked bar chart displays the proportion of sales for five product categories across five rating ranges, from "less than 5" to "greater than 8.5". The visualization uses `d3.stack` to create stacked bars, with `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. Interactive tooltips appear on mouseover, showing the specific rating range and sales proportion. The chart reads data from a local CSV file and renders with SVG elements, animated transitions, and a legend using `d3.scaleOrdinal` for color assignment.

HHema Tummapala

Bbhargavireddy4016@gmail.com

activity-6 task-2 question2.3

This stacked bar chart displays the proportion of product ratings within five ranges for each superstore category, showing the distribution of customer feedback across different product types. The visualization uses D3.js v7 with a horizontal stacked bar layout where each category row is divided into colored segments representing rating intervals from below 5.0 to above 8.5. The code utilizes `d3.stack()` with `stackOffsetExpand` to normalize each bar to full width, `d3.scaleLinear()` for the x-axis, and `d3.scaleBand()` for category positioning. The data is computed from the CSV file's percentage values, rendered as SVG rectangles with a legend.