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Fork of Assignment_2_pie

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Ssowmya167
Last edited Apr 13, 2024
Created on Apr 13, 2024
Forked from Assignment_2

This example compares population trends across countries using both a stacked area chart and a pie chart. The area chart displays population data from 1970 to 2022 across eight time periods, while the pie chart shows the 2022 population distribution. Both visualizations load CSV data via `d3.csv` and use D3’s `d3.stack`, `d3.area`, `d3.pie`, and `d3.arc` APIs. The code demonstrates rendering SVG elements with ordinal color scales and includes axis generation and legend creation.

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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

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Assignment_2

This example presents two synchronized views of historical population data for multiple countries: a stacked area chart and a pie chart. The area chart uses `d3.stack()` and `d3.area()` to show population changes across eight census years, while the pie chart uses `d3.pie()` and `d3.arc()` to display the 2022 population distribution. Both visualizations load data from a CSV file via `d3.csv`, employ `d3.scaleOrdinal` with `d3.schemeCategory10` for coloring, and render as SVG. Numeric population values are displayed directly on the area chart layers.

Ssrujaneppalapally@gmail.com
88% match
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Assignment_2

This example combines a stacked area chart of country population changes across eight census years and a pie chart of fictional product sales. The area chart uses `d3.stack`, `d3.scaleBand`, and `d3.area` to layer annual population data by country, with axis labels and per-layer value text rendered via SVG. The pie chart applies `d3.pie` and `d3.arc` to sales quantities, adding a legend with color-coded rects and labels. Both visualizations load CSV data asynchronously and render using SVG elements.

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Fork of Assignment 2 part2

This area chart visualizes population trends across multiple countries over time, with each country represented by a filled area path. The data comes from a CSV file containing yearly population figures, processed into chronological series using d3.csv and custom data transformation. The visualization employs d3.area(), d3.scaleTime(), and d3.scaleLinear() for rendering, along with d3.axisBottom() and d3.axisLeft() for axes. A categorical color scale (d3.scaleOrdinal with schemeCategory10) distinguishes countries, while a legend identifies each series. The chart is rendered as SVG with configurable width, height, and margins through a reusable areaChart() function.

Aamulyabhagwat1999@gmail.com
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Fork of Assignment 2 part2

This area chart shows population trends for multiple countries over time, using a time-scaled x-axis and a linear y-axis. The visualization is built with d3.js, leveraging `d3.scaleTime`, `d3.scaleLinear`, and `d3.area` to render the filled paths, with a categorical color scale (`d3.scaleOrdinal`) distinguishing each country. Data is loaded from a remote CSV file and processed into a date-value format. The chart includes axes, a legend, and uses an SVG rendering approach.

Aamulyabhagwat1999@gmail.com
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Assignment2_1

This example shows the population distribution of countries as a pie chart, with each slice labeled by country in a legend beside the chart. The visualization uses D3 v7 to load CSV data from a GitHub gist, compute pie angles with `d3.pie`, and render slices using `d3.arc` into SVG paths. A tooltip, implemented with HTML overlays, displays the country name and population on hover. Colors are assigned via `d3.scaleOrdinal` with `d3.schemeCategory10`.

MManishaBoppa@my.unt.edu
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Fork of Assignment 2 - Pie Chart

This pie chart visualizes the population distribution across continents. The chart uses a color-coded legend and labels each slice with its population count in thousands. The visualization is built with D3 v5, using the `pie`, `arc`, and `scaleOrdinal` APIs to generate and style the slices. It loads data from a local CSV file and renders the chart as an SVG, with a custom legend showing each continent and its corresponding value.

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Fork of Assignment 2 part2

This area chart visualizes the population trends of the world and its major areas from 1750 to 2150, using a stacked area representation. The chart is rendered as SVG, with data parsed from a CSV file via `d3.csv`. It uses `d3.scaleLinear` for both axes, `d3.stack` to layer the series, and `d3.area` to generate the area paths. A color legend, built with `d3.scaleOrdinal` and `d3.schemeCategory10`, distinguishes the different population categories.

Aamulyabhagwat1999@gmail.com
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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.

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