World Map

100%

✓ Published0🌍 Public

Last edited Apr 22, 2021

Created on Apr 22, 2021

A world map visualizes global temperature data over time, displaying a smooth curve and individual data points across a time-series chart. The visualization uses D3 v5 with React, rendering as SVG. It employs `scaleTime` and `scaleLinear` for axes, `line` with `curveNatural` for the path, and `json` to load geographic data from the world-atlas package, though the map itself is not drawn.

AI-generated description

Working with Time.

Data: UCI Machine Learning Repository: Iris Data Set.

MIT Licensed

Similar vizzes

Loading thumbnail…

World Map

This visualization displays temperature data over time as a line chart with circular markers for each data point. The x-axis uses a time scale (d3.scaleTime) with day-of-week tick labels, while the y-axis uses a linear scale (d3.scaleLinear). Built with React and D3 v5, it renders SVG elements, with the line path created using d3.line() with curveNatural smoothing. Data is fetched via d3.json from a world-atlas TopoJSON file (though the chart plots temperature readings, not map features). Hovering over circles shows tooltips formatted with d3.timeFormat.

AAlex Gomes

90% match

Loading thumbnail…

World Map

This example visualizes a time series of temperature readings as a smooth line chart with circular data points, populated from an external JSON dataset. The chart uses React to render SVG elements, with D3 v5 handling data loading via `d3.json`, scale construction through `scaleTime` and `scaleLinear`, and path generation with the `line` function and `curveNatural` interpolation. Axes are built using `scaleTime.ticks` and `scaleLinear.ticks` with custom tick formatting, and hover tooltips are provided through native SVG `<title>` elements. The visualization also includes styled axis labels and gridlines from the accompanying stylesheet.

Ddumbdataguy@gmail.com

90% match

Loading thumbnail…

Map of the World

This example displays a line chart of temperature over time, with each day’s temperature connected by a smooth, natural curve. The visualization loads geographic data from the world-atlas TopoJSON file but renders only the time-series path, with axes labeled “Time” and “Temperature.” Built with React and D3 v5, the code uses `scaleTime` and `scaleLinear` for scales, `line` with `curveNatural` for the path, and custom `AxisBottom` and `AxisLeft` components to render ticks and labels. The data source is the Data Canvas Sense Your City dataset, though the mapping is not applied here.

Bbdfee

88% match

Loading thumbnail…

World Map

This visualization displays temperature readings over time as a smooth, connected line chart. It uses a time-scaled x-axis and a linear y-axis, with data sourced from the Data Canvas Sense Your City dataset. The implementation leverages React for the component structure, d3.scaleTime and d3.scaleLinear for scaling, and d3.line with a natural curve to generate the path. The SVG rendering includes labeled axes and tick marks, while the use of a CSV loading function via d3.csv populates the chart.

GGregS1290

88% match

Loading thumbnail…

world map

This visualization displays a temperature trend over time using a stylized line chart rendered as SVG. The graph plots temperature readings from a San Francisco dataset on the y-axis against timestamps on the x-axis, with smooth curves generated via d3’s `curveNatural` path interpolation. The React application loads geographic data from the world-atlas TopoJSON file, though the visible chart focuses on the line plot with axes created using scaleTime, scaleLinear, and custom tick components. The chart uses d3.v5, React hooks, and a light, modern style with Poppins typography.

Iinnocent thomas

86% match

Loading thumbnail…

world map

This example visualizes temperature data from the Data Canvas Sense Your City dataset as a time-series line chart. The y-axis displays temperature values while the x-axis represents time, with the line connecting data points to show trends over the course of a week. Built with React and D3 v5, the chart uses D3’s `scaleTime` for the time axis, `scaleLinear` for the temperature axis, and `line` with `curveNatural` to draw the smoothed path. The visualization is rendered as an SVG, with axes and marks generated by custom React components, though the data file is loaded via `d3.json` from a GeoJSON URL, suggesting a possible mismatch with the scatter plot described in the README.

HHaris Vidimlic

84% match

Loading thumbnail…

World Map

This visualization displays a world map using geographic data, rendering country boundaries as black strokes. The map is constructed with React and D3, utilizing the `d3.json` loader to fetch TopoJSON data from the `world-atlas` package, then converting it to GeoJSON features via the `topojson` `feature` API. The `Marks` component draws the map paths using D3’s `line` generator with the `curveNatural` interpolation, while also placing circular markers at data points from the SF temperature dataset. The SVG output is styled with a teal color scheme and Poppins font.

AAhmad Butt

84% match

Loading thumbnail…

World Map

A world map displays Earth’s landmasses in teal and grey, with country borders drawn as interior lines. The visualization uses a natural Earth projection via `d3.geoNaturalEarth1` and renders geometric paths with `d3.geoPath`, including graticules and a sphere outline. Geographic data comes from the World Atlas TopoJSON file, processed with `feature` and `mesh` from the topojson library. React manages the component structure, while D3 handles the SVG path generation within a fixed 960×500 viewport.

KK3zter

84% match