Skip to main content
SimilarExport ZIP
100%

Assignment 2 part2

✓ Published4🌍 Public
Aanjeevu@gmail.com
Last edited Jul 13, 2024
Created on Jul 11, 2024
Forked from Hello VizHub

This area chart visualizes population trends for ten countries over time, highlighting changes in population size across several decades. The chart is rendered as an SVG using the D3.js library, with data processed from a CSV file via the `csv()` API. It uses D3's stacking and area functions to create layered regions, with a legend and axes labeled "Years" and "Population (millions)" to guide interpretation. The chart employs `d3.scaleTime` for the x-axis and a linear scale for the y-axis, with gridlines for readability.

AI-generated description

A demonstration of area chart on population trend over years.

MIT Licensed

Similar vizzes

Loading thumbnail…

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
88% match
Loading thumbnail…

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
87% 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
86% match
Loading thumbnail…

Assignment2_2

This area chart displays the population of all countries, sorted in descending order, with each country represented along the x-axis and its population on the y-axis. The visualization uses a light blue filled area with a darker blue stroke to highlight population trends across nations. Built with D3 v7, the code loads CSV data from a GitHub gist, employs `scalePoint` for the categorical country axis and `scaleLinear` for population, then renders the chart as SVG using the `area` generator, `axisLeft`, and `axisBottom` APIs.

MManishaBoppa@my.unt.edu
86% match
Loading thumbnail…

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
86% match
Loading thumbnail…

Assignment 2 - Question 2

This area chart displays declining population figures across years from 2000 to 2019, based on data from a CSV file. The visualization uses D3.js version 6 with SVG rendering, featuring a light yellow filled area with a subtle stroke. Interactive tooltips appear on hover over invisible circles positioned along the data points, showing the exact year and population value. The chart employs d3.area() for the area path, d3.scaleLinear() for both axes, and d3.axisBottom()/d3.axisLeft() for tick marks, with tooltip transitions providing animated feedback.

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

test10

This area chart displays population trends for multiple countries over time, with each country represented by a colored filled area and a corresponding legend. The visualization is built using D3.js, specifically employing `d3.scaleTime`, `d3.scaleLinear`, `d3.area`, and `d3.axisBottom`/`d3.axisLeft` for rendering. Population data is fetched from a CSV file and processed into date-value pairs, while the color scale uses `d3.scaleOrdinal` with `schemeCategory10`. The chart is rendered as an SVG with customizable dimensions and margins.

Aamulyabhagwat1999@gmail.com
84% match
Loading thumbnail…

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
84% match