a2q

@a2q·8 public vizzes

Producción de Automotores

This visualization shows the monthly evolution of automobile production in Argentina, broken down by vehicle category (passenger cars, light commercial vehicles, cargo vehicles, and passenger transports) from January 2013 to February 2015. The data comes from ADEFA, the Argentine Automobile Manufacturers Association. The multi-series line chart is rendered in SVG using D3 v3, with time on the x-axis and production units on the y-axis. Hovering over a line reveals its category via a tooltip. The chart highlights a downward trend in overall production toward the end of the period.

Apr 27, 2015

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Exercise 5

The visualization plots Argentine provinces as circles on a scatterplot, comparing the number of students with special needs integrated into primary school (y-axis) versus secondary school (x-axis). It omits Buenos Aires to improve readability of remaining data. Built with D3 v3, it uses `d3.scale.linear` for axes and `d3.svg.axis` to render the scales, with hover effects changing circle fill color. Data comes from the public education indicators CSV.

Apr 19, 2015

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Exercise 5

A scatterplot shows the relationship between the number of students with special needs integrated into primary versus secondary common schools across Argentine provinces. The y-axis encodes primary school integration counts, while the x-axis represents secondary school counts, with Buenos Aires omitted for visual clarity. Built with D3 v3, the visualization uses linear scales, SVG axes, and hover interactions that highlight individual circles by changing their fill color. Data comes from the DiNIECE educational quality information directorate via Argentina's public data portal.

Apr 19, 2015

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Sorting Elements

This visualization shows the number of students with disabilities integrated into common secondary education across Argentine provinces for 2012, sorted in descending order. Horizontal bars are drawn as SVG rectangles using d3.v3, with an ordinal scale mapping province names to the y-axis and a linear width scale for student counts. The code also renders gridlines via a custom x-axis tickSize, and includes hover tooltips with province-specific details. Data comes from the public data portal linked in the page.

Apr 12, 2015

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Sorting Elements

A bar chart displays the number of students in secondary common education across Argentine territorial divisions, sorted in descending order using `d3.descending` on numeric values parsed from a CSV. Each SVG rectangle’s width maps to the student count, with a text label appended beside it showing the value and region. The visualization uses d3.v3’s data join, `d3.scale.linear`, and CSV loading via `d3.csv`, with custom styling for fill colors and typography.

Apr 6, 2015

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Loading CSV Data with D3

This example demonstrates loading a CSV dataset with D3.js and rendering it as an SVG visualization. The data, sourced from a gist by a2q, contains educational statistics for the province of Buenos Aires from 2003 to 2009, tracking metrics such as abandonment, promotion, and repetition rates across various educational levels. Using D3 v3, the visualization parses the CSV file and maps the data to SVG elements, likely encoding the different concepts and years through visual channels like position, color, or size. The result is an interactive or static graphic that lets viewers explore trends in Argentine education over time.

Mar 30, 2015

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Educación AR 2003 a 2009

This chart shows education statistics across Argentina's provinces from 2003 to 2009, comparing three metrics—abandonment, promotion, and repetition rates—across different educational levels. Each row represents a province-year combination, with rates displayed as percentages. The visualization uses color-coded bars or line segments to show how these three indicators evolve over time, with the provincial breakdown allowing for regional comparisons. The data is sourced from a gist by author a2q, with each year displaying rates for various educational levels (EGB 1-9 and Polimodal) across all Argentine provinces.

Mar 23, 2015

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Muertes por Accidente de Tránsito AR

This visualization compares traffic accident fatalities across Argentine provinces from 2007 to 2011. A horizontal bar chart displays each province’s death count, with bars colored by year and grouped to reveal temporal trends, such as Buenos Aires’ decline from 3,195 to 2,570 deaths. The code uses D3.js with `d3.forceSimulation` for label positioning and `d3.geoPath` to render a map of Argentina, highlighting provinces by their mortality figures. Data originates from a gist by author a2q, processed as CSV with `d3.csv`.

Mar 23, 2015