Skip to main content
SimilarExport ZIP
100%

Activity7_Q2

✓ Published0🌍 Public
SShiva Sai Reddy
Last edited Nov 6, 2024
Created on Nov 6, 2024
Forked from Hello VizHub

A stacked area chart displays population trends by continent over time, aggregating country-level data into five continental groups. D3 v6 loads population data from a CSV URL and maps countries to continents before stacking the values. The visualization uses `d3.stack`, `d3.area`, `scaleTime`, `scaleLinear`, and `scaleOrdinal` to render smooth curves with a color legend. Data spans multiple years, with axes formatted via `axisBottom` and `axisLeft`. The chart renders as an SVG appended to the HTML body, with the `curveBasis` interpolation applied to the area generator.

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…

Activity_7_Q2(11807290)

This area chart shows population trends across continents from 2000 to 2020, with each continent represented as a stacked colored layer. The visualization uses d3.stack() to aggregate population data by year and continent, and d3.area() to render the stacked layers as SVG paths. Axes are generated with d3.axisLeft() and d3.axisBottom(), while colors are assigned via d3.scaleOrdinal() with d3.schemeCategory10. Data is loaded asynchronously from a remote CSV using d3.csv, and a custom legend identifies each continent.

Cchowdaryhemanth14@gmail.com
91% match
Loading thumbnail…

Assignment 2 Area Chart

This example presents a stacked area chart displaying population data across multiple countries. The visualization uses D3.js v6 to load CSV data, stack series with d3.stack, and render areas with d3.area, while d3.scaleBand and d3.scaleLinear position the categorical and numeric axes. The SVG output includes axis labels, a color-coded legend, and numeric value labels atop each segment. A d3.scaleOrdinal with the schemeCategory10 palette assigns distinct colors to each population category.

Ggnanendra097@gmail.com
81% match
Loading thumbnail…

Activity7_Question2

This chart visualizes GDP growth rates over time as a stacked area chart, with each country represented by a distinct colored layer. The data is loaded from a CSV file using `d3.csv` and processed with `d3.groups` to organize values by year, then stacked using `d3.stack()`. The visualization uses D3 v7’s scale functions (`scaleLinear`, `scaleOrdinal`) and the `d3.area` generator to render smooth SVG paths, with axes drawn via `d3.axisLeft` and `d3.axisBottom`. A legend manually constructed with SVG rectangles and text identifies each country.

VVidya Lakshmi Chitturi
81% match
Loading thumbnail…

Activity8_Q3

This stacked bar chart shows the distribution of land area types—Snow, Water, Forest, and Urban—across seven continents, with each continent’s segments summing to 100%. It uses D3.js v7 with an SVG rendering, employing `d3.stack` and `d3.scaleOrdinal` with the Tableau10 color scheme. Hovering over a bar segment highlights it and displays a tooltip with the exact percentage for that area type and continent. The data is loaded from a CSV file, and axes are formatted using `d3.axisBottom` with percentage labels, while a legend identifies each category.

LLakshmi Keerthi
81% match
Loading thumbnail…

Activity6_Task2

This stacked horizontal bar chart visualizes the distribution of age groups across different continents, with each bar representing a continent and segments colored by age bracket. The visualization uses a D3.js v7 SVG rendering with `d3.stack()` to compute the stacked segments, `d3.scaleOrdinal()` for color mapping, and `d3.scaleBand()`/`d3.scaleLinear()` for axes. Tooltips, implemented via mouseover events, display the exact percentage for each segment, with x-axis labels indicating percentage values. Data is loaded from a CSV file containing pre-calculated proportions per continent.

Pperamranji
81% match
Loading thumbnail…

Acitivity6 ques 2

This example visualizes population data for several countries across the years 1950-1955 using a stacked bar chart. The chart displays population counts on the x-axis and countries on the y-axis, with each bar segment representing a different year. Built with D3 v7 and rendered as SVG, it uses `d3.stack()` to compute the stacked series, `d3.scaleOrdinal` for color encoding, and includes interactive tooltips that display the population percentage for each year segment on mouseover. The data originates from a CSV file loaded locally.

BBhavana Sharma
81% match
Loading thumbnail…

Activity 6_Q2.A2

This stacked bar chart compares the populations of ten countries from 2010 to 2020 using data from a CSV file. Red and blue bars represent each year, with country names along the x-axis and population values on the y-axis. The visualization uses D3.js v6 APIs like `d3.scaleBand`, `d3.scaleLinear`, and `d3.stack` to render SVG rectangles, with a legend identifying the two time periods.

SSeema Shrestha
81% match
Loading thumbnail…

Area Chart Assignment2

A stacked area chart displays population values across multiple countries, with each colored layer representing a distinct data category and numerical labels atop each segment. Built with D3.js, the visualization loads CSV data, applies a d3.stack() layout, and renders areas using d3.area() with scales for positioning. SVG output includes axes, legends, and value annotations, demonstrating ES6 module imports and a categorical color scale.

Ggvinaykumards@gmail.com
81% match