GDP Variation over time plot-2

GDP Variation over time plot-2

This scatter plot shows GDP variation over time, with each circle representing a country-year observation. The color of each point corresponds to the year, using an ordinal color scale with a diverging RdYlBu color scheme. The visualization includes an interactive color legend that filters points by year through click events. Built with D3 v5, the example uses `d3.scaleOrdinal`, `d3.schemeRdYlBu`, and custom modules for the scatter plot and legend, rendering as SVG with data loaded from a CSV file.

94% match

GDP Variation over time plot

This visualization uses a scatter plot to show GDP variation over time for the US and Germany, with each circle representing a year’s GDP value. The chart includes labeled axes for Year and GDP, along with a title, and uses a linear scale for both dimensions. The code relies on d3.scaleLinear, d3.axisBottom, d3.axisLeft, and d3.extent to render the SVG elements, while data is loaded asynchronously from a CSV file using d3.csv. Gridlines are drawn via tick sizes, and circles are styled with green fill and black strokes.

88% match

Almost Final-4

This scatterplot visualizes GDP variation over time for multiple countries, with each dot colored by country and opacity highlighting a selected country while dimming others. Users click legend items to filter the visualization. The chart uses D3 v5 with SVG rendering, `scaleLinear` for axes, `scaleOrdinal` with `schemeSet2` for colors, and custom `scatterplot` and `colorLegend` modules. Data loads from a CSV file containing yearly GDP percentages.

83% match

Variation of GDP over time for USA and Germany

This example shows the variation of GDP over time for the USA and Germany as a scatterplot, with each country’s annual GDP values plotted as colored points. Users can click the legend to highlight one country’s data while dimming the other. The visualization uses d3.csv to load data, d3.scaleLinear for axes, d3.axisBottom and d3.axisLeft for ticks, and d3.scaleOrdinal with schemeCategory10 for colors. The legend renders as SVG circles with interactive click handlers, and the scatterplot updates point opacity based on the selected country.

83% match

Variation of GDP over time for USA and Germany-test3

This scatterplot tracks the GDP variation over time for the USA and Germany, using two distinct colors to differentiate the countries. A color legend allows users to click on a country to highlight its data points while dimming the others. The visualization is built with D3 v5, using `scaleLinear` for the axes, `scaleOrdinal` with `schemeSet2` for the color mapping, and SVG circles for the data points. The data is loaded from a CSV file via `d3.csv`.

Almost Final-10

This example visualizes GDP variation for the USA and Germany over time as a scatterplot, with each country’s annual percentage change in GDP plotted against the year. A categorical color legend allows viewers to highlight or filter a specific country by clicking, which adjusts the opacity of unselected points. The visualization uses d3.scaleLinear for axes, d3.scaleOrdinal with a schemeSet2 color palette, and d3.axisBottom and d3.axisLeft for gridlines and labels. Data is loaded via d3.csv from a remote CSV file, and rendering is done using SVG elements.

Variation of GDP over time for USA and Germany-test4

This scatterplot shows the variation in GDP over time for the USA and Germany, with each circle representing a data point colored by country. A legend allows users to click on a country to highlight its points while dimming the others. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for both axes, `axisBottom` and `axisLeft` for ticks, and `selectAll` with data joins for updates. The data is loaded from an external CSV file, and the chart includes descriptive axis labels for year and GDP percentage.

Almost Final-2

An interactive scatterplot shows GDP variation across years for selected countries, with circles colored by country and clickable legend entries that highlight a chosen nation while dimming others. Built with D3 v5, it uses `scaleLinear` for axes, `axisBottom` and `axisLeft` with gridlines, and an SVG renderer. Data is loaded from a CSV and updated via a `render` function that re-calls the scatterplot and color legend components.