Skip to main content
SimilarExport ZIP
100%

New York City Leading Causes of Death

✓ Published0🌍 Public
TTaraZhu
Last edited Oct 17, 2017
Created on Sep 22, 2017

This visualization shows trends in New York City’s leading causes of death from 2007 to 2014, plotting annual death counts for five causes (including heart disease, malignant neoplasms, and diabetes) as colored lines. It uses d3.csv to load the data, d3.nest() to group by cause, and d3.line() with time and linear scales to render the chart. The legend labels are clickable, toggling line opacity via d3 transitions. The graphic employs an SVG renderer with d3’s axis components and a categorical color scheme.

AI-generated description

This dataset is about the leading causes of death by sex and ethnicity in New York City in since 2007, the raw json file can be found here.

More about this theme click this link.

This line chart presents the top 5 causes of death each year.

Chart code forked from d3noob’s block. Inspired by click this link

mit Licensed

Similar vizzes

Loading thumbnail…

New York City Leading Causes of Death

This line chart visualizes the top five causes of death in New York City from 2007 to 2014, with each cause represented by a colored line and legend label. The data, sourced from NYC Open Data via a CSV file, shows trends such as declining heart disease deaths and rising “All Other Causes.” The visualization uses d3.csv, d3.nest, d3.scaleTime, and d3.scaleOrdinal to render SVG paths and text. Interaction relies on mouseover and mouseout events, which increase opacity, stroke width, and font size for the hovered cause across both its line and label.

TTaraZhu
95% 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
78% match
Loading thumbnail…

Annual Deaths Causes in USA

An interactive scatter plot displays annual death counts from numerous causes in the USA, with users selecting any two columns from the dataset to compare via dropdown menus. The visualization uses D3 v5’s `scaleLinear`, `axisBottom`, and `axisLeft` to render animated SVG circles that transition into position. Data is loaded from a CSV file hosted on VizHub and includes causes such as Dementia, Cardiovascular diseases, and Suicide. The code employs a reusable `scatterPlot` module and a custom `dropdownMenu` component to handle user interactions.

CChooo4u
75% match
Loading thumbnail…

Annual deaths causes in usa

This scatter plot displays annual deaths from various causes in the USA over time, with the y-axis showing total deaths for a selected cause and the x-axis representing years. The visualization uses D3 v5’s `scaleTime`, `scaleLinear`, `axisBottom`, and `axisLeft` to render the chart as an SVG. A dropdown menu, built with a custom `dropdownMenu` function, is intended to switch between cause-specific datasets, though the selection logic is not implemented. The data is loaded from a CSV file and parsed into numeric death counts for each condition.

CChooo4u
73% match
Loading thumbnail…

Deaths by Cause

This visualization shows the number of deaths by cause in local jails from 2005 to 2014, using a multi-line chart where each colored line represents a cause category, with a click-to-toggle legend and a descriptive text panel. Built with D3 v3 and d3plus, it uses `d3.svg.line`, `d3.time.scale`, and a categorical color scale. Data comes from a CSV file, and the visualization includes axes, a title, and an interactive legend that filters visible lines.

SSithal95
73% match
Loading thumbnail…

Deaths by Cause

This visualization shows the number of deaths by cause in local jails from 2005 to 2014, using a multi-line chart where each colored line represents a cause category, with a click-to-toggle legend and a descriptive text panel. Built with D3 v3 and d3plus, it uses `d3.svg.line`, `d3.time.scale`, and a categorical color scale. Data comes from a CSV file, and the visualization includes axes, a title, and an interactive legend that filters visible lines.

SSithal95
73% match
Loading thumbnail…

Deaths by Cause

This interactive line chart visualizes the number of deaths by cause in local jails from 2005 to 2014, using data from a CSV file. The chart allows users to toggle categories via a legend, displaying trends for causes such as heart disease, suicide, and accidents alongside aggregated totals. Built with D3.js v3 and the D3plus library, the visualization uses SVG paths and scales for rendering, with an animation for legend selection. A text panel explains the key insight that suicides remain the leading cause, noting a sharp dip in 2008 coinciding with a spike in missing data.

SSithal95
73% match
Loading thumbnail…

Cause of Death

This visualization presents stroke-related mortality across U.S. states from 1999 to 2017, combining a bar chart of 2017 death counts with a dot plot showing age-adjusted death rates over time. The p5.js sketch loads data from a CSV file via a GitHub gist, assigns random colors to each state, and renders multiple coordinated views on a single canvas. It uses p5.js functions like `loadTable`, `map`, and `rect` to draw the graphics, with a dotted notebook aesthetic and interactive link to Vizhub.

SSanjana Rattan
72% match