Untitled

1027Happiness Level Line Chart

This visualization displays self-reported life satisfaction across countries from 2004 to 2017, using a scatter plot where each circle represents a country-year observation. Users select a metric from a dropdown menu, and clicking a color legend entry highlights that country’s points while dimming others. The D3.js v5 code employs `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and transitions to animate marks, with `interpolateRdYlBu` for color encoding. Data originates from the World Happiness Report 2017, rendered as an SVG with interactive legend and dropdown functionality.

82% match

Happiness Level Chart

This visualization presents self-reported life satisfaction across countries from 2004 to 2017, using data from the World Happiness Report 2017. It combines a scatter plot with year and satisfaction metrics, a multi-line chart tracking trends per country, and an animated cartoon face that shifts expressions. Users select different satisfaction indicators via a dropdown menu and filter countries by clicking the color legend. The D3 v5 code builds SVG elements, uses scales like `scaleTime` and `scaleLinear`, and applies transitions to update data points and the face animation.

Untitled

This scatter plot displays the relationship between a country's Happiness Score and its rate of depressive disorders, with each point's size representing population and color encoding geographic region. The visualization uses d3.csv to load the data, d3.scaleLinear for both axes, and d3.scaleOrdinal for the categorical color mapping. SVG circles are positioned via the xScale and yScale functions, with axis labels and tick marks generated using d3.axisBottom and d3.axisLeft within a React-rendered SVG container.

NNikithakatta30

1027Happiness Level Line Chart

This chart visualizes life satisfaction across multiple countries from 2004 to 2017, using data from the World Happiness Report 2017. Each country is represented as a line, with a dropdown menu to switch between different well-being metrics. A color legend allows users to highlight specific countries by clicking. The visualization uses d3.line with curveBasis for smooth paths, d3.nest for grouping, and d3.axisLeft/axisBottom with gridlines, rendered as SVG with animated transitions.

Final project

This interactive visualization explores global happiness data from 2015–2023, allowing users to switch between a choropleth map, leaderboard, line chart, and correlation matrix. The map colors countries by selected factors using d3.scaleSequential with interpolateYlGnBu, while the line chart compares individual country trends against the global average. The visualization uses d3-geo projections, d3-scale-chromatic, and SVG rendering, with support for zooming, tooltips, and animated year sliders.

Yyihsuan

Happiness Level Line Chart - Test

This visualization displays the happiness levels of 163 countries over time, using a line chart where each line represents a country's trajectory. Users can interact with a dropdown menu to select a specific country, and the color legend allows filtering by country. The chart updates dynamically with transitions. The code uses D3 v5 APIs including `scaleTime`, `scaleLinear`, `scaleOrdinal`, `nest`, `line` with `curveBasis`, and `axisLeft`/`axisBottom`. The data comes from a CSV file, and the rendering uses SVG with animation.

78% match

Happiness Level Plot

This scatter plot displays each country’s life satisfaction ranking against the year, from 2004 to 2016, using data from the World Happiness Report 2017. It is built with D3 v5 and renders as an SVG, with a time-scaled x-axis and a linear y-axis. The code uses `scaleTime`, `scaleLinear`, `axisBottom`, and `axisLeft` to construct the axes, and appends semi-transparent orange circles to represent data points. The CSV dataset is loaded via D3’s `csv` method, and the plot includes axis labels and a title.

78% match