Activity6_q3

100%

✓ Published0🌍 Public

Llokasaivenkatatammineedi@my.unt.edu

Last edited Mar 30, 2025

Created on Mar 30, 2025

This visualization shows the percentage contribution of five statistical categories—points, rebounds, assists, steals, and blocks—for ten NBA players, using a stacked horizontal bar chart where each player’s row sums to 100%. The code loads data from a CSV via `d3.csv`, normalizes each player’s stats, and renders the SVG with `d3.stack()`, `d3.scaleOrdinal` for colors, and `d3.scaleBand` for the y-axis. Interactive tooltips appear on mouseover, displaying the category’s percentage using `d3.format`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Ques2

This stacked bar chart compares the percentage distribution of ratings across six categories—Technology, Finance, Healthcare, Education, Sports, and Entertainment—using horizontal bars. Each bar is segmented into five rating bands, from "below 4.0" to "above 9,” with a legend in the right margin. The visualization uses D3 v7's `d3.stack()` to aggregate the data and `d3.scaleOrdinal()` for color mapping. An SVG renders the chart, while mouseover events display a tooltip showing the exact percentage for each segment. The data is loaded from a local CSV file.

Nnithinnc@outlook.com

77% match

Loading thumbnail…

activity 6_Task 2

This visualization shows the distribution of star ratings (1 to 5) for different sports, displayed as a stacked horizontal bar chart where each bar represents a sport and segments show the proportion of each rating. The data comes from a CSV file with ratings for six sports, and the chart uses D3 v7 with SVG rendering. The code builds the stacked layout using `d3.stack()`, scales data with `d3.scaleLinear` and `d3.scaleBand`, colors segments via `d3.scaleOrdinal`, and includes interactive tooltips on mouseover that display the exact percentage for each rating segment.

Jjakeh311@yahoo.com

77% match

Loading thumbnail…

Activity6_q2

This stacked bar chart visualizes the percentage distribution of five sales performance categories (Below 100, 100-500, 500-1000, 1000-5000, Above 5000) across six product categories, showing how sales outcomes vary by product type. Using D3.js v7 with SVG rendering, the chart employs `d3.stack()` to generate stacked segments and `d3.scaleOrdinal()` for color encoding. Interactive tooltips appear on mouseover, displaying the exact percentage for each segment. The data comes from a local CSV file, and the visualization uses linear and band scales for positioning.

Nnumitha

77% match

Loading thumbnail…

Activity-6_Task-2_Ques2

This example shows a stacked horizontal bar chart of activity breakdowns by sport, displaying cardio, strength, and flexibility percentages for ten sports from a CSV file. It uses D3 v7 with SVG rendering, loading data via `d3.csv` and constructing the visualization with `d3.stack`, `d3.scaleLinear`, `d3.scaleBand`, and `d3.axisBottom`. The chart includes a legend, axis labels, and colored segments with numeric scaling from 0 to 100.

VVasanth Krishna

77% match

Loading thumbnail…

Activity 7 Pie Chart

This pie chart displays the all-time leading NBA scorers by total points, with each slice labeled by player name and accompanied by a legend showing the player and their point total. The visualization uses D3.js v7 to load CSV data from a GitHub repository, compute the pie layout with `d3.pie()`, and render SVG path arcs via `d3.arc()`. A categorical color scale (`d3.scaleOrdinal` with `d3.schemeSet1`) distinguishes players, while SVG text elements and manually positioned legend rectangles provide labeling. The chart is generated entirely with client-side SVG rendering.

Llokasaivenkatatammineedi@my.unt.edu

77% match

Loading thumbnail…

Activity6_Question2

This example shows a stacked bar chart comparing ratings across six AI-related categories, with each bar divided into five percentage-based rating brackets (below 5.0 through above 8.5). The visualization uses D3 v7 to load the CSV data, apply `d3.stack()` to compute the stacked segments, and render them as SVG rectangles scaled with `d3.scaleLinear` and `d3.scaleBand`. Hover interactions trigger a tooltip displaying the exact percentage for each segment, and colors are assigned via `d3.scaleOrdinal`.

CChandra Prakash Reddy Kalwakolu

77% match

Loading thumbnail…

Activity6_Q2.3

This stacked bar chart visualizes the distribution of smartphone sales across five price categories for ten brands, with each bar normalized to show proportions of total sales. The D3.js v7 code loads data from a CSV file and renders an SVG visualization, using `d3.stack()` to create stacked segments, `d3.scaleOrdinal()` for color mapping, and `d3.axisBottom()` with percentage tick formatting. Interactive tooltips display the exact percentage for each segment on hover, while a legend identifies the color-coded categories.

MMeghana Sadhu

76% match

Loading thumbnail…

Question2_activity6

This visualization shows the distribution of participation percentages across age brackets (Below 15, 15-20, 21-30, 31-40, Above 40) for six sports, using a stacked horizontal bar chart. Each sport’s bar is divided into segments colored by age group, with a legend on the right. Hovering over a segment reveals an interactive tooltip with the specific percentage. Built with D3 v7, the code uses `d3.csv`, `d3.stack`, `d3.scaleOrdinal`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`, rendering to an SVG canvas with data loaded from a local CSV file.

SShiva Sai Reddy

76% match