SP - BRAZIL - MAP

100%

SP - BRAZIL - MAP

✓ Published0🌍 Public

Last edited Nov 9, 2022

Created on Oct 30, 2022

This choropleth map displays the municipalities of São Paulo, Brazil, colored by political party affiliation. The geographic boundaries are rendered as SVG paths using D3.js version 7, with each region’s `data-party` attribute determining its fill color. The visualization uses D3’s selection API to attach mouseover event listeners to all geographic elements, triggering a lookup in the imported `SP` dataset to log the corresponding municipality details. The map includes zoom and pan capabilities through a transformable group, and the styling applies white strokes between regions for clear separation.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE 8 - BRAZIL - MAP

A choropleth map of Brazilian municipalities, colored by political party affiliation. The SVG renders geographic boundaries via D3 v7's geo path utilities, with each region storing its party and coordinates in SVG attributes. Hovering a region logs its IBGE code and municipality name to the console by cross-referencing a local ES6 module. The map visualizes election data through a manually configured zoom transform.

KKetha

83% match

Loading thumbnail…

Brazil

This visualization displays a map of Brazil drawn from a TopoJSON file containing geographic subunits. The map is rendered as an SVG using D3.js version 3, with the country's border and internal regions defined by MultiPolygon geometries and arcs. The example demonstrates how to load and parse TopoJSON data, project it, and render it as an interactive SVG map. The minimalist presentation focuses on the shape of Brazil, with no additional data encodings or visual variables—the map is likely shown in a single color or simple fill to highlight the geographic boundary. It serves as a basic template for displaying TopoJSON-based maps with D3.

EEvertLagerberg

69% match

Loading thumbnail…

Brazil Map

This example displays a zoomable map of Brazil, with each state drawn as a gold polygon outlined in black that turns maroon on hover. The visualization uses D3's `geoTransverseMercator` projection with `d3.geoPath` to render geographic features, and applies a zoom behavior that transforms a group element containing the map. State names come from GeoJSON data loaded from a remote repository, with tooltips provided via appended `title` elements. The map also relies on `d3-geo-projection` for the projection and TopoJSON utilities for feature extraction.

GGogineni44

68% match

Loading thumbnail…

Simple World Map

This interactive map of Brazil displays climate data for its federal states from 2000 to 2021. It uses SVG paths for each state, with CSS classes like "norte" and "nordeste" to categorize regions. The visualization relies on D3.js v7 to render the map and handle user interaction, as indicated by the inclusion of the D3 library and the interactive title. A color scale is present to represent data values, though the specific data mapping is not implemented in the provided code.

GGeorge Vaz

67% match

Loading thumbnail…

Mapa Brasil

This map of the world highlights countries in light green against a blue sphere, with each country displaying its name as a tooltip on hover. It uses d3.geoPath with a geoNaturalEarth1 projection to generate SVG paths for the landmasses, and d3.zoom to enable interactive panning and zooming. Country names come from the world-atlas TSV file, while the geographic boundaries come from the corresponding TopoJSON file processed via the topojson library’s feature function.

DDácio Lima

67% match

Loading thumbnail…

Untitled

An interactive choropleth map of Florianópolis, Brazil, displays neighborhood-level socioeconomic indicators. A dropdown menu allows users to switch between datasets, including employment rates, education levels, and business metrics. Hovering over a neighborhood reveals its name and the selected value in a tooltip. The visualization is built with React, using D3 for map projection and SVG rendering, with data loaded from a GeoJSON file.

HHenrique Reichert

66% match

Loading thumbnail…

Fork of Let's make a map with D3.js!

The visualization renders a geographic map of Brazil using D3.js v5 and TopoJSON, displaying state boundaries as light-green polygons with a blue sphere background. It loads geographic data from an external Gist URL via `d3.json`, then applies the `geoNaturalEarth1` projection and `geoPath` to generate SVG paths. While the code fetches and logs the data to the console, it does not yet draw the state shapes—only the sphere outline is visible. The example demonstrates a basic map setup using SVG rendering and asynchronous data loading.

LLuiz Miguel Viana Barbosa

65% match

Loading thumbnail…

ICE-8country map 1b Sushmitha B

This choropleth map shows the annual number of visitors in millions for each Brazilian state, with a light-to-dark red color scale indicating intensity and a tooltip revealing exact values on hover. The visualization loads Brazil’s GeoJSON boundaries and a CSV dataset, then draws the states as SVG paths using a `d3.geoMercator` projection fitted to the map size. It uses `d3.scaleLinear` for the color encoding and `d3.geoPath` for rendering, with a fixed legend at the bottom summarizing the range of visitor counts.

Ssushmitha bungatavula

65% match