Skip to main content
SimilarExport ZIP
100%

Activity_6 Q_2

✓ Published0🌍 Public
Bbhavya.kanyadara@gmail.com
Last edited Apr 3, 2025
Created on Apr 3, 2025
Forked from Activity_6 Q_2

This stacked bar chart displays the proportional distribution of clothing items across five price ranges (below 1.0 to above 4.0). The visualization shows how each clothing category compares in relative percentage across the price brackets, with labels on segments wider than 40 pixels. The chart uses D3 v7 with `d3.stack()` and `d3.stackOffsetExpand` to create normalized 100% stacked bars, while `d3.scaleBand` and `d3.scaleLinear` handle positioning. Each bar segment includes a tooltip via SVG `<title>` elements, and the legend maps color-coded price ranges. The data originates from a static CSV file containing clothing categories and their associated price range values.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity_6 Q_2

This stacked bar chart displays the proportional distribution of clothing items across five price ranges (below 1.0 to above 4.0). The visualization shows how each clothing category compares in relative percentage across the price brackets, with labels on segments wider than 40 pixels. The chart uses D3 v7 with `d3.stack()` and `d3.stackOffsetExpand` to create normalized 100% stacked bars, while `d3.scaleBand` and `d3.scaleLinear` handle positioning. Each bar segment includes a tooltip via SVG `<title>` elements, and the legend maps color-coded price ranges. The data originates from a static CSV file containing clothing categories and their associated price range values.

Bbhavya.kanyadara@gmail.com
100% match
Loading thumbnail…

Activity6

This stacked bar chart visualizes the proportion of transactions falling into five price brackets for six distinct product categories. The chart displays the distribution of spending across these ranges, with each bar segment color-coded and a legend identifying the price segments. The visualization is built with D3 v7, using `d3.scaleBand` for the categorical x-axis, `d3.scaleLinear` for the y-axis, and `d3.scaleOrdinal` with `d3.schemeCategory10` for colors. The data is transformed using `d3.stack()` to create stacked segments, and the chart is rendered as SVG with axes generated by `d3.axisBottom` and `d3.axisLeft`.

Kkeerthi.yanala104@gmail.com
85% match
Loading thumbnail…

Activity_6_Question 2

This stacked horizontal bar chart shows the distribution of product costs across eight categories, with each bar divided into six price ranges from below $50 to above $1000. The visualization uses d3.stack() to compute the layered segments and d3.scaleBand for the categorical y-axis. d3.axisBottom with custom tick sizes renders the percentage scale, while a custom tooltip appears on mouseover to display exact percentage values. The chart is rendered as SVG using d3.v7, with color scaling via d3.scaleOrdinal and data loaded from a CSV file.

HHarsha vardhan reddy Yarmareddy
85% match
Loading thumbnail…

Activity6task2q2

This stacked bar chart visualizes the percentage of sales performance within each product category, with horizontal bars segmented by price ranges from "Below 100" to "Above 5000." The chart uses D3 v7's `d3.stack()` to create the stacked segments, `d3.scaleLinear` and `d3.scaleBand` for positioning, and `d3.scaleOrdinal` for color mapping. Interactive tooltips display exact percentages on hover using mouse events, while SVG rendering provides the visual output.

Ssaitejakaranam10@gmail.com
84% match
Loading thumbnail…

Activity6_Task2_Q3

This stacked bar chart visualizes sales data for five clothing stores, comparing revenue across three product categories: Cargo, Flannels, and Tee. The horizontal bars display the proportional contribution of each category to total store sales. Built with D3 v7 and rendered as SVG, the visualization uses `d3.stack()` to compute layered series, `d3.scaleBand()` for the categorical y-axis, and `d3.scaleLinear()` for the numerical x-axis. Interactive tooltips on each segment reveal exact category sales values, with the data sourced from the included CSV file.

Vvenkatamanikantavaddi@my.unt.edu
84% match
Loading thumbnail…

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
84% match
Loading thumbnail…

Activity 6_Task 2 Q3

This stacked bar chart displays clothing sales across five stores, breaking down revenue into jeans, t-shirts, and shirts. Using D3 v7, the code loads data from a CSV file and applies the `d3.stack()` function to generate segments, with an ordinal color scale distinguishing product categories. Horizontal bars are rendered as SVG rectangles scaled by `d3.scaleLinear` for the x-axis and `d3.scaleBand` for store names. Interactive tooltips appear on mouseover, showing precise sales figures for each category per store.

Aakankshareddygorla@my.unt.edu
84% match
Loading thumbnail…

Activity-6-Question2-1

This example visualizes the distribution of sales across electronics categories using a stacked horizontal bar chart with D3.v7. It shows proportions of sales for five ranges, from "less than 5" to "greater than 8.5," across six product categories. The chart uses `d3.stack()` to create stacked segments, `d3.scaleBand` for categories, and `d3.axisLeft`/`d3.axisBottom` for axes. The code attaches a tooltip via `d3.select` to display exact sales values on mouseover. Data is loaded from a CSV file containing category and sales-range percentages.

Ssowmyaammula.sdv@gmail.com
84% match