Skip to main content
SimilarExport ZIP
100%

Fork of 2015 Internet Users World Map

✓ Published0🌍 Public
AAleOG
Last edited May 23, 2023
Created on May 2, 2023

This map visualizes internet usage per 100 people across countries in 2015, using a green color scale to represent percentage ranges and a legend for reference. It updates the original static visualization by adding interactive hover tooltips that display country names and usage percentages, plus zoom functionality that scales the map. The implementation uses D3.js with `geoNaturalEarth1` projection and `geoPath` for rendering, topojson-client for world atlas data, and d3.zoom with transition animations. The dataset comes from the Kaggle Internet Users Dataset.

AI-generated description

A 2015 world map of Internet Users Dataset. This iteration adds hover and zoom.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of 2015 Internet Users World Map

This interactive map visualizes 2015 internet usage per 100 people across world countries, using a green color scale to encode data from a Kaggle dataset. Hovering over a country reveals its exact percentage via a tooltip, while users can zoom and pan using d3.zoom. The map is drawn with d3.geoPath and geoNaturalEarth1, with country boundaries from a TopoJSON world atlas, and includes a color legend built with d3.scaleOrdinal.

Nnsatyaprakash22
95% match
Loading thumbnail…

Fork of 2015 Internet Users World Map

This interactive world map displays internet users per country in 2015, using a green color scale and a legend to indicate percentages. It includes hover tooltips that show the exact percentage for each country, plus zoom and pan functionality. The visualization is built with D3.js, using `d3.geoNaturalEarth1` and `d3.geoPath` for map projection, `d3.zoom` for interactions, and TopoJSON data from the visionscarto-world-atlas package. The dataset comes from a Kaggle internet users CSV file.

RRubieStannard
95% match
Loading thumbnail…

Fork of 2015 Internet Users World Map

This world map visualizes internet usage rates per 100 people across countries in 2015, using a sequential green color scale with darker shades representing higher percentages. A hover tooltip displays each country's exact rate, while zoom and pan behavior allows users to explore regions in detail via d3.zoom. The map is rendered using d3.geoNaturalEarth1 and d3.geoPath with TopoJSON data, and includes a color legend built with d3.scaleOrdinal. Data comes from a Kaggle dataset of internet users per country.

VVivek Gupta
94% match
Loading thumbnail…

Fork of 2015 Internet Users World Map

This map visualizes internet usage rates per country for 2015, with countries colored on a green scale based on the percentage of internet users. It includes a color legend, hover tooltips showing exact rates, and zoom functionality that scales the map view. The visualization uses d3.geoNaturalEarth1 and d3.geoPath to render the world atlas from TopoJSON, while d3.zoom enables the interactive zooming. Data comes from the Kaggle Internet Users Dataset, processed through D3’s csv parsing and categorical color scaling with d3.schemeGreens.

NNikithakatta30
94% match
Loading thumbnail…

Fork of 2015 Internet Users World Map

This world map visualizes internet usage per 100 people across countries in 2015, using a green color scale to represent percentage ranges from 0–20% to 80–100%, with gray for missing data. Data comes from the Kaggle Internet Users Dataset, loaded via `d3.csvParse`. The map, rendered with `d3.geoPath` and a Natural Earth projection, supports hover tooltips showing country names and percentages, plus zooming via `d3.zoom` with a bounding-box transform. A color legend built with D3’s `scaleOrdinal` and `schemeGreens` clarifies the ranges.

NNYCUBK201
94% match
Loading thumbnail…

Fork of 2015 Internet Users World Map

This example displays a world map of internet users per 100 people in 2015, with countries colored on a green scale by percentage and a legend explaining the ranges. Hovering over a country reveals its name and percentage, and the map supports zooming and panning. The visualization loads geographic data from a TopoJSON atlas and joins it with a CSV dataset, using D3’s `geoNaturalEarth1` projection, `geoPath`, and `d3.zoom` for interaction.

KKamal Bahadur Rana
94% match
Loading thumbnail…

Fork of 2015 Internet Users World Map

This map visualizes internet users per 100 people in 2015 across countries, using a green color scale to indicate adoption rates and a legend for reference. Hovering over a country reveals its exact percentage, while zooming allows closer inspection of regions. The visualization loads geographic data from a TopoJSON world atlas and uses d3.geoPath, d3.geoNaturalEarth1, and d3.zoom for rendering and interaction, with country data drawn from a CSV dataset.

VVAbhiram99
94% match
Loading thumbnail…

Fork of 2015 Internet Users World Map

This interactive world map visualizes Internet users per 100 people for 2015, using a choropleth of green shades where darker colors indicate higher usage rates. Hovering over a country reveals a tooltip with its name and percentage. The map supports zooming and panning through d3.zoom, with country boundaries rendered via d3.geoPath from TopoJSON data. Color encoding and the legend are built with d3-scaleOrdinal and the d3.schemeGreens palette, using data from the Kaggle Internet Users Dataset.

NNICHAPA
94% match