ICE-8

ICE-8 1A Rithvik Reddy

This choropleth map of the world uses a Natural Earth projection to show numeric values per country, with a yellow-to-blue sequential color scale and interactive tooltips revealing ISO-Numeric IDs. Built with D3 v7, it loads TopoJSON from world-atlas, computes paths via `d3.geoPath`, and renders countries as SVG elements. A linear gradient legend and `d3.axisBottom` display the value range, while `d3.csvParse` maps the small inline dataset.

RRithvik

ICE 8-1

This visualization displays a world map using the Natural Earth projection, with countries filled in pastel green and separated by white borders. The map loads country boundaries from the world-atlas TopoJSON dataset via d3.json, then converts them to GeoJSON features using topojson.feature. Each country path is rendered as an SVG element through d3.geoPath, and hovering reveals the country name through an appended SVG title tooltip. The code relies on d3.v7 and the topojson library for geographic data handling.

Aanirudhrao345@gmail.com

ICE-8 1A kumar danam

This choropleth map visualizes a small dataset of numeric values for selected countries using a dark-to-light blue-green color scale. It displays world country boundaries from the `world-atlas` TopoJSON source, rendered as SVG paths via `d3.geoPath` with a Natural Earth projection. The map uses `topojson.feature` to process countries, `d3.scaleSequential` with an `interpolateYlGnBu` scheme for coloring, and a legend built with `d3.axisBottom`. Hovering over a country reveals its ISO numeric ID and value via a tooltip, with missing data shown in gray.

KKumar Danam

Ppashamsahithi2391@gmail.com

ICE8

This interactive world map visualizes country populations with a sequential YlGnBu color scale. It loads TopoJSON world boundaries via `d3.json` and population data from a CSV, then joins them through ISO country codes. The SVG map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render countries, with hover tooltips and an axis-labeled gradient legend built using `d3.scaleSequential` and `d3.axisBottom`. Missing values are shown in gray.

Ppashamsahithi2391@gmail.com

ICE8

This visualization displays a world map where each country is colored according to its population using a logarithmic rainbow color scale. The map is rendered as SVG using D3.js v7 with a Natural Earth projection and TopoJSON data loaded from world-atlas. Countries are drawn as paths using d3.geoPath, with colors assigned via d3.scaleSequentialLog and d3.interpolateRainbow based on population values from an embedded dataset. Hovering over a country triggers a tooltip showing additional information.

ICE 8 world map

This example displays a world map rendered from TopoJSON country boundaries, with each country filled in light blue and outlined in blue. The visualization uses d3.geoPath with a d3.geoNaturalEarth1 projection to convert geographic data into SVG paths. It loads the worlddata.csv file from a GitHub gist, extracts the country features using the topojson.feature API, and maps them onto a 960x500 SVG canvas.

Ggayathri

Fork of ICE-8 1A kumar danam

This example shows a choropleth world map using Natural Earth projection to display numeric values for selected countries, with a sequential YlGnBu color scale indicating magnitude. Tooltips reveal ISO numeric country IDs and their values on hover. It loads world-atlas TopoJSON data, renders via SVG, and employs d3.geoNaturalEarth1, d3.geoPath, d3.scaleSequential, and d3.csvParse. A gradient legend with a linear axis communicates the value range at the bottom.

KKumar Danam

ICE 8 TASK 1.1

This choropleth map uses a Natural Earth projection to visualize population data for 20 countries, with darker blue shades representing higher values. The visualization loads world geometries from the world-atlas TopoJSON dataset via `d3.json` and merges CSV population data using a lookup dictionary. Countries are rendered as SVG paths using `d3.geoPath`, with missing data shown in light gray. A sequential blue color scale (`d3.scaleSequential`) and gradient legend communicate the population range, while a tooltip displays exact values on hover.

Uuguggila@gitam.in