Principales causas de muerte - Perú 2011

100%

Principales causas de muerte - Perú 2011

✓ Published0🌍 Public

Last edited Sep 25, 2018

Created on Sep 24, 2018

This bar chart displays the leading causes of death in Peru for 2011, ranking respiratory infections, heart diseases, and cancers by absolute number of cases. The visualization uses D3 v5 (d3.csv, scaleLinear, scaleBand, axisLeft, axisBottom) to map causes to horizontal bars, with a left margin accommodating lengthy category labels. Data comes from the Ministry of Health’s statistical table (CUADRO 04.09), encoded as a CSV file. Rendered as SVG, each rectangle’s width proportional to the death count, with axes labeled for clarity.

AI-generated description

CUADRO 04.09 - PERÚ: PRINCIPALES CAUSAS DE MUERTE, 2011 (http://bvs.minsa.gob.pe/local/minsa/2722.pdf)

MIT Licensed

Similar vizzes

Loading thumbnail…

Deaths due to corona

This horizontal bar chart ranks the top 20 countries by total reported COVID-19 deaths, using a steel-blue fill for each bar. The x-axis is labeled "Deaths" and uses a custom tick formatter that abbreviates large numbers (e.g., "1.13M"), while the y-axis lists country names. Built with D3 v5, the visualization uses `scaleLinear` for the numeric axis, `scaleBand` for the categorical country axis, and `axisBottom`/`axisLeft` for grid lines and labels. Data is loaded from a local CSV file.

NNikith Reddy

66% match

Loading thumbnail…

Causes of Death

This interactive visualization explores mortality trends in the United States through a linked tree navigator and stacked area chart. The tree navigator organizes causes of death hierarchically, and selecting a node updates the stacked area chart to display the proportional composition of causes over time, with each layer colored distinctly. The visualization uses D3’s stack layout with an expand offset to show relative proportions, while the tree provides an intuitive way to drill into specific causes of death. Data is sourced from the Centers for Disease Control.

CCurran Kelleher

65% match

Loading thumbnail…

Top 10 Covid 19 Deaths

This bar chart displays the top 10 countries by COVID-19 deaths, with each bar’s length proportional to the death count from the included CSV data. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and renders as SVG with `axisLeft` and `axisBottom` helper axes. The chart is composed of steel-blue rectangles positioned via the band scale, while margin-based spacing and explicit axis transforms structure the layout.

Ooabundes

65% match

Loading thumbnail…

Iterated Earthquake Bar Plot

This bar plot visualizes total earthquake deaths by region during the 20th century, with bars sorted descending to highlight that Peru exceeds 700,000 fatalities. The visualization aggregates data from a CSV file using d3.csv, sums deaths per region with d3.sum, and renders an SVG with d3.axisBottom and d3.axisLeft for labeled axes. Regions are grouped via array filtering, and a transition animates the Y-axis update.

JJunying Li

65% match

Loading thumbnail…

Earthquake Bar Plot

This bar plot displays earthquake fatalities across different regions in the 19th century, with the x-axis showing the region and the y-axis recording deaths. The chart reveals that over 700,000 people died in Peru due to earthquakes during this period. The visualization uses d3.v7’s scaleBand and scaleLinear to map the region and death values, rendering rectangles as bars in SVG. Data is loaded asynchronously via d3.csv from a GitHub-hosted earthquakes.csv file, with rotated x-axis labels for readability.

JJunying Li

64% match

Loading thumbnail…

Stack Chart Template

This stacked bar chart visualizes causes of death in 2013 across selected South African countries, using data from the WHO. Users can toggle between raw counts and percentage shares via radio buttons, which triggers a smooth transition in bar heights. The visualization is built with the D3.js library, specifically using `d3.layout.stack` to compute the stacked segments and `d3.svg.axis` for the axes. The chart is rendered as an SVG, and the animation is achieved through D3's `.transition()` method.

Cchungmin-yu

64% match

Loading thumbnail…

Age Distribution Chart

The chart displays the age distribution of deaths across various causes of illness, with each cause represented as a stacked bar segmented by age group. Users can toggle between raw death counts and normalized percentages using radio buttons. The visualization is built with D3.js, using ordinal and linear scales, stacked layout, and SVG axes. It animates transitions between the two modes with a 250-millisecond duration, and includes interactive hover effects that reduce rectangle opacity. Data is loaded from a CSV file containing cause-specific mortality counts by age bracket.

Pp189

64% match

Loading thumbnail…

Untitled

A horizontal bar chart displays the percentage of deaths per disease across six continents, comparing the values from 1990 through 2016. The visualization, built with D3 v4, uses an SVG canvas and loads data from a CSV file. The bars represent the 1990 values, with axes rendered using `axisLeft` and `axisBottom`, while the chart employs a custom Indie Flower font and hover effects to highlight individual data points.

SSantiagopc30

64% match