Skip to main content
SimilarExport ZIP
100%

People affected by mental diseases over the years in American Countries - 2

✓ Published0🌍 Public
AAbdul Salam Almadani
Last edited Oct 29, 2020
Created on Oct 29, 2020

This interactive chart displays the percentage of a population affected by a selected mental health disorder for a chosen American country over time. Using D3 and React, the visualization plots a single line for the selected country. The chart includes dropdown menus to filter the data by country and disorder type. A dedicated `useData` function loads a CSV file from a Gist, and the line mark is rendered as an SVG path using d3’s `line` and `curveNatural` functions. The data is sourced from the Gist dataset mentioned in the README.

AI-generated description

This visualization was constructed using the D3 & React.

The idea behind this visualization was to show the percentage of the population of various countries in America that suffer from some mental illness over the years.

Questions I wanted to answer with this visualization

  • How has the percentage of mental diseases in some American countries changed over time?
  • Has there been a decrease in people with mental illnesses, or rather an increase?

The data used in this visualization can be found on Gist here: Mental Healths Disorders Dataset

MIT Licensed

Similar vizzes

Loading thumbnail…

People affected by mental diseases over the years in American Countries - 2

A line chart displays the percentage of a selected American population affected by a chosen mental disorder per year. Users choose a country and a disorder from two dropdown menus; a single teal path then updates smoothly using d3.line with curveNatural, drawn on an SVG rendered via React. Axes are built with scaleTime and scaleLinear, and the data comes from a CSV hosted on Gist.

Qqcuong96
96% match
Loading thumbnail…

People affected by mental diseases over the years in American Countries

This interactive visualization shows how the percentage of a population affected by various mental health disorders changes over time across American countries. Users can select a country and a mental disease from dropdown menus to filter the view. A single line chart displays the trend using SVG paths generated with d3.line and curveNatural. The React application uses D3 v5 scales (scaleTime, scaleLinear) for axes and data from a CSV file loaded via d3.csv.

FFelipe Mejías
95% match
Loading thumbnail…

People affected by mental diseases over the years in American Countries with Interactive Legends

This interactive line chart shows the percentage of the population affected by mental health disorders in four American countries—Costa Rica, Colombia, Honduras, and Ecuador—from 1990 to 2017. A dropdown menu lets users select among seven disorder types, while a color legend highlights individual country trends. Built with React and D3 v5, it uses `scaleTime`, `scaleLinear`, and `scaleOrdinal` to map data, with hover interactions on the legend fading non-selected countries. The visualization draws SVG paths using `d3.line` with `curveNatural`, rendering data from a CSV loaded via `d3.csv`.

FFelipe Mejías
88% match
Loading thumbnail…

DataViz Project - First Visualization

This interactive line chart, built with React and D3 v5, visualizes the percentage of a country's population affected by mental illness and unemployment over time, with a dropdown menu to select among six American countries. The SVG rendering uses D3's `scaleTime` and `scaleLinear` for the axes, and natural cubic spline curves via `line().curve(curveNatural)` to smooth the trends. A custom color legend distinguishes the two metrics, shown as green (mental illness) and orange (unemployment) lines, using data from a CSV file hosted on Gist.

FFelipe Mejías
84% match
Loading thumbnail…

Mental illneses in American countries throughout the years

This visualization uses a multi-line chart to show the percentage of the population affected by mental illnesses in Costa Rica, Colombia, and Brazil from 2000 onward. The graph highlights that overall levels remain stable, with slight recent declines in Brazil and Colombia. It is built with Vega-Lite’s API for chart specification, using D3 to load CSV data from a Gist and vega-tooltip for interactivity. The chart applies a custom color scale and filters data to post-2000 years.

FFelipe Mejías
81% match
Loading thumbnail…

DataViz Project - Third Visualization - Mental Illness Choropleth Map with Linked Line Chart

A choropleth map shades countries by the percentage of their population with mental illness for a selected year, while a linked line chart below plots the same metric over time for every country. Moving the mouse horizontally across the chart updates the map to the corresponding year. The visualization uses React with D3 v5, including `geoNaturalEarth1` and `geoPath` for the map, `scaleSequential` with `interpolatePuBu` for color encoding, and `scaleTime` for the year axis. Data comes from a CSV of mental health disorders, with country boundaries from World Atlas TopoJSON.

FFelipe Mejías
81% match
Loading thumbnail…

DataViz Project - Third Visualization - Mental Illness Choropleth Map with Linked Line Chart and Color Legends

A choropleth map displays the global percentage of national populations with mental illness for a selected year, with a linked line chart below showing each country's trend over time. Moving the mouse across the chart updates the selected year, redrawing the map's sequential blue color scale and positioning a vertical line on the line chart. The visualization uses React with D3 v5, including `geoNaturalEarth1` and `geoPath` for map projections, `scaleSequential` for coloring, and `scaleTime`/`scaleLinear` for the line chart. Data comes from a CSV of mental health disorders, with country boundaries from TopoJSON.

FFelipe Mejías
79% match
Loading thumbnail…

DataViz Project - Second Visualization

This interactive bar chart compares unemployment rates and mental illness prevalence across the five most affected countries for a selected year. Users can switch between 1995, 2000, 2005, 2010, and 2015 via a React dropdown menu. The visualization uses React hooks, d3.scaleBand and d3.scaleLinear for axes, and d3.csv to load the mental health dataset from a GitHub gist. Hovering over the color legend highlights corresponding bars and fades others, with tooltips showing exact values.

FFelipe Mejías
79% match