Questions I wanted to answer with this visualization

Project Dashboard - Mental Illnesses, Unemployment and Suicides over the years

This dashboard combines multiple linked views to explore mental illness, unemployment, and suicide rates. It shows how the top five countries affected by unemployment compare in mental illness prevalence for a selected year, alongside line charts tracking these metrics over time for chosen countries and conditions. The visualization uses React with D3 v5, employing `scaleBand` and `scaleLinear` for the bar chart, `scaleTime` for temporal axes, and custom drop-down menus for filtering. Data comes from an external CSV file, rendered as SVG with interactive color legends and hover effects.

95% match

DataViz Project - Suicides Visualization

An interactive line chart visualizes suicide death rates in American countries over time, alongside related mental health and unemployment metrics. A country selector filters the dataset, and a color legend distinguishes unemployment from mental illness data. Built with React and D3 v5, the visualization uses `scaleTime`, `scaleLinear`, and `curveNatural` for path rendering, with data from a CSV hosted on GitHub Gist. The SVG output includes custom axes and a dropdown menu for country selection.

87% match

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.

85% match

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.

85% match

Fork of Fork of NASCAR Statistics Dashboard

This dashboard presents a global suicide statistics visualization, combining a world bubble map, a date histogram, a stacked bar chart, a scatter plot, and a color legend. The map plots suicide counts per country using `d3.geoNaturalEarth1` and `d3.geoPath`, with bubble sizes scaled by `d3.scaleSqrt`. The date histogram uses `d3.bin` and `d3.brushX` to aggregate and filter data over time. Tooltips via `Tippy.js` reveal country-specific metrics. The visualization is built with React, D3 v6, and SVG rendering.

81% match

Fork of Suicide Rates 11/17/2021

This dashboard visualizes global suicide rates with a natural Earth projection map where circles represent suicide counts per country, colored by a categorical scale. A linked time-series histogram below the map allows brushing to filter the map by year range. The visualization uses d3.geoNaturalEarth1 and d3.geoPath for the map, d3.scaleSqrt for circle sizing, and d3.brushX for interactive filtering. Tooltips via Tippy.js display country, GDP, suicide count, and population. Data comes from a CSV of suicide rates merged with world city coordinates.

80% match

A world map showing cities with a population greater than 50,000

This interactive dashboard visualizes suicide rates across countries with a world map and linked charts. The map displays circles sized by suicide count, colored by categorical data, and positioned using `d3.geoNaturalEarth1` projection and `geoPath`. Tooltips provide detailed country statistics via Tippy.js. A brushable time-series histogram filters data by year, dynamically updating the map and a scatter plot, which allows users to explore relationships between attributes like GDP and suicide numbers using `d3.scaleLinear` and dropdown menus. The visualization uses SVG and React with D3 v4, sourced from a merged dataset of world cities and suicide rates.

80% match

Fork of Fork of Fork of Suicide Rates 11/17/2021

This interactive dashboard combines a world bubble map with a time-series histogram to explore suicide rates. The map uses `d3.geoNaturalEarth1` and `geoPath` to render landmasses, with circle sizes scaled via `d3.scaleSqrt` to suicide counts, and Tippy tooltips to reveal country, GDP, and population details. A linked `d3.brushX` histogram filters the map’s data by year, while separate small multiples and a sex-based histogram supplement the view. Data is loaded from CSV files via `d3.csv` and world topology from TopoJSON.