Fork of Activity6_questions 3 45

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Fork of Activity6_questions 3 45

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Last edited Apr 15, 2024

Created on Apr 15, 2024

A stacked bar chart visualizes product sales across four categories, with each bar segment representing a category’s contribution to total sales for a given product. The chart encodes values on a linear x-axis and product names on a categorical y-axis, using color to distinguish categories. Built with D3 v7, it uses `d3.stack()` to compute stacked values, `d3.scaleBand()` for the y-axis, and `d3.scaleLinear()` for the x-axis. Data is loaded via `d3.csv()` from a local CSV file, and SVG rectangles render each segment with mouseover logging to the console.

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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Activity6_questions 3 45

This stacked bar chart displays product sales across four categories (A through D), using horizontal bars segmented by category to compare total sales. The visualization uses D3.v7 with an SVG canvas, applying `d3.stack()` to compose the bar segments, `d3.scaleBand` for the product axis, and `d3.scaleLinear` for the sales axis. Hovering over a segment logs the specific category and sales value to the console, while a categorical color scale distinguishes the categories. The data comes from a local CSV file, and the chart includes axis labels and a legend.

Ppavanpkkalyan3@gmail.com

91% match

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Fork of Activity 6_Q3

A stacked horizontal bar chart shows sales by product category for five stores, with tooltips displaying precise values on hover. The visualization uses D3 v7, loading data from a CSV file and rendering with SVG. It employs `d3.stack()` for data stacking, `d3.scaleBand()` for the y-axis, and `d3.scaleLinear()` for the x-axis, with `d3.scaleOrdinal()` for category colors.

KKarnam Abinay Goud

88% match

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Fork of Activity6_question

This stacked bar chart visualizes monthly sales across three departments—Electronics, Clothing, and Groceries—using horizontal bars segmented by category. The chart is built with D3.js v4, parsing CSV data and rendering it as SVG, with a color scale distinguishing departments and a custom tooltip showing segment values on hover. Axes display month labels and total sales formatted in thousands, while a legend identifies each category. The layout uses D3 scales for positioning and the d3.stack API to compute stacked segments from the uploaded sales data.

Mmaneeshraja47@gmail.com

87% match

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Activity_6_Question 2.3

A stacked bar chart displays regional product sales, with each bar segmented by product category (productA, productB, productC) and colored via a categorical scale. The visualization loads CSV data with d3.csv and d3.autoType, then uses d3.stack to compute the stacked series. d3.scaleBand maps regions to x positions, d3.scaleLinear maps sales values to y positions, and d3.axisBottom and d3.axisLeft render the axes. A legend groups color swatches and labels, while the SVG output is generated entirely in d3.v7.

Kkesava

86% match

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Activity_6_Q2

This example visualizes sales distribution across product categories using a stacked horizontal bar chart. Each bar represents a category from a CSV file, segmented by price ranges (less than 100 to above 400) as percentages. The code uses d3.stack() to compute stacked series, d3.scaleBand for the y-axis categories, and d3.scaleLinear for the x-axis percentages, rendered as SVG rectangles. Interactive tooltips appear on mouseover, displaying the exact percentage for each segment. The visualization employs d3.axisBottom, d3.axisLeft, and d3.scaleOrdinal with a custom color palette.

Mmudunurirahulvarma98@gmail.com

86% match

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Activity6-Question-2.3

This stacked bar chart shows sales distribution across six product categories, broken into five rating ranges from less than 5 to greater than 8.5. The visualization uses D3 v7’s `d3.stack()` to create the layered bars and `d3.scaleBand`/`d3.scaleLinear` for axes. An interactive tooltip appears on mouseover via D3 event handlers, displaying the sales segment value. Data loads from a CSV file, with a custom color scale for each range and a legend rendered alongside the chart.

LLayaMyadam@my.unt.edu

86% match

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fork of activity_6_question_2

This stacked bar chart displays product sales (productA, productB, productC) across four regions (North, South, East, West) using D3 v7. The visualization loads CSV data via `d3.csv` with `d3.autoType`, applies a band scale for regions and a linear scale for sales values, and renders SVG rectangles through the `d3.stack` layout. Color encoding uses `scaleOrdinal` with four categorical colors, with axes generated by `axisBottom` and `axisLeft`. A legend shows product categories, and the chart is scoped within defined margins on a 960×500 SVG canvas.

JJaswanthkota@my.unt.edu

86% match

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Activity 5_Question 3

A stacked bar chart displays regional product sales across four regions, with each bar segmented by product category. The visualization uses D3 v7’s `d3.stack`, `d3.scaleBand`, `d3.scaleLinear`, and `d3.scaleOrdinal` to render SVG rectangles with color-coded segments per product. Data loads from a CSV file via `d3.csv` with `d3.autoType`, and axes are generated using `d3.axisBottom` and `d3.axisLeft`. A legend maps product names to their ordinal color range, annotating each segment’s contribution.

Ppenujulilikhil01020@gmail.com

86% match