Skip to main content
SimilarExport ZIP
100%

Task_8_Question2

✓ Published0🌍 Public
Mmythripopuri2001@gmail.com
Last edited Apr 11, 2024
Created on Apr 11, 2024
Forked from Task_8_Question2

This stacked bar chart visualizes financial aid distribution across gender categories (Male, Female, Non-binary) with breakdowns by expenditure type (Education, Healthcare, Housing, Food, Transportation). The visualization uses D3.js v7, reading from a local CSV file and rendering as SVG. The implementation employs `d3.stack()` for data preparation, `d3.scaleBand()` and `d3.scaleLinear()` for axes, and `d3.scaleOrdinal()` with `d3.schemeCategory10` for coloring. Interactive tooltips using `d3.select()` display exact values on mouseover, while the legend and axis labels clarify the categorical and quantitative dimensions.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

Task-2(question 4)

This stacked bar chart displays the monthly expenses of Alice, Bob, and Charlie across five categories: rent, food, transport, entertainment, and utilities. Data from an external `expenses.csv` file is loaded using `d3.csv`, with numeric values converted for processing. The visualization is rendered as SVG using D3 v7, employing `d3.stack()` to create stacked layers, `d3.scaleBand` and `d3.scaleLinear` for positioning, and a color ordinal scale for category distinction. A legend and labeled axes clarify the breakdown of spending.

MMahimaChowdaryKasthala@my.unt.edu
80% match
Loading thumbnail…

Task3_Question3

This example shows a scatter plot comparing Education and Healthcare spending, with points colored by gender. It loads data from a local CSV file and renders circles on an SVG canvas. The code uses D3.js v7 to set up linear scales for both axes, an ordinal color scale for gender categories, and appends axes with labels. The visualization includes interactive tooltips triggered by mouseover events, which change point size and color while displaying details. A legend is built manually using SVG rectangles and text elements, and the chart includes a title.

Mmythripopuri2001@gmail.com
79% match
Loading thumbnail…

Task 8 q2_1

This example shows a stacked bar chart of student marks across four subjects—Math, Science, History, and English—using data from a CSV file. The visualization renders as SVG, with each bar segment colored by subject via a D3 ordinal scale. Hovering a segment reveals a tooltip with the exact percentage, using mouse events. The chart includes axes, a legend, and a title, all built with D3 v7’s `scaleBand`, `scaleLinear`, `d3.stack`, and `d3.axisLeft`/`d3.axisBottom`.

YYeshwanth963@gmail.com
79% match
Loading thumbnail…

Task8_Question2

This visualization presents a stacked bar chart displaying patient details, with each bar representing a patient and segments showing the percentage contribution of different attributes such as age, weight, and height. The chart uses a horizontal layout, with bars stacked by category and color-coded via a scaleOrdinal palette. Hovering over a segment reveals a tooltip with the exact percentage value for that category. The implementation uses d3.v7's stack, scaleLinear, and scaleBand APIs, rendering as SVG with data loaded from Patientdata.csv, and includes interactivity through mouseover events.

KKeerthi
78% match
Loading thumbnail…

TASK.8_QUESTION-2_Sahith

This stacked bar chart visualizes the percentage of total fee payment made across five installments by different students, grouped by occupation. Each bar segment represents a payment term, with the y-axis showing individual ages and the x-axis displaying percentage values. Hovering over a bar segment reveals a tooltip with the exact percentage paid during that term. The visualization is built with D3 v7, using d3.stack for data aggregation, d3.scaleOrdinal for color encoding, and SVG rendering with mouse event handlers for interactive tooltips.

Mmanisahiths54321@gmail.com
78% match
Loading thumbnail…

TASK.8_QUESTION-2_Sahith

This example visualizes the percentage of fee payment installments across different age groups using a stacked horizontal bar chart. The chart draws from a CSV dataset containing demographic information about online food service users, including age, gender, income, and feedback. The visualization employs d3.stack() to layer the payment percentage data, with d3.scaleBand() and d3.scaleLinear() mapping the axes. Interactive tooltips appear on mouseover, displaying the exact percentage value for each age group, while a color-coded legend distinguishes the payment categories. The SVG rendering uses D3 v7 with custom styling from Google Fonts.

Mmanisahiths54321@gmail.com
78% match
Loading thumbnail…

question 2

This stacked bar chart visualizes the monthly income distribution of five individuals, segmented by age and gender. Each bar is divided into two stacked segments representing the binary categories “No Income” and “Below Rs.10000,” with steelblue and darkorange fills. The chart uses `d3.stack()` to compute the stacked series and `d3.scaleBand` for the categorical x-axis, with `d3.axisBottom` and `d3.axisLeft` rendering the axes. The data is static and embedded in the script, rendered as SVG elements.

Aasheshpinisetti@my.unt.edu
78% match
Loading thumbnail…

task 8 question 2.2

A stacked horizontal bar chart shows the proportion of ratings (below 4, 4-5, 5-6, 6-7, 7-8, above 8) for six food categories, with each bar segmented by rating range. The visualization uses D3.js v7 with SVG rendering, employing d3.stack() to aggregate the data, d3.scaleBand() for the category axis, d3.scaleLinear() for the percentage axis, and d3.scaleOrdinal() for color encoding. Interactive tooltips display the exact percentage of each rating segment on hover, using event listeners and d3.format() to present values. The data is loaded from a CSV file containing pre-computed proportions.

Vvchittimadha@gmail.com
78% match