Version_3_SP

Version_2_SP

This visualization compares the GDP variation of the USA and Germany after World War II, using a scatterplot where the x-axis maps the year and the y-axis reports GDP in percent. The dataset originates from the IMF Website. An interactive color legend, built with `d3.scaleOrdinal` and `d3.schemeSet2`, allows users to click on a country to highlight its data points while dimming others. The chart is rendered as an SVG using `d3.axisBottom` and `d3.axisLeft` for the axes, with circles positioned via `d3.scaleLinear`.

94% match

GDP changes: Post World War II

This visualization uses a scatterplot to show GDP changes for the USA and Germany after World War II, with the y-axis reporting GDP in percent and the x-axis showing the year. A categorical color scale distinguishes the two countries, and an interactive color legend filters the data by country on click. The code loads data from the IMF via D3’s `csv` function and builds the chart using `scaleLinear`, `axisLeft`, `axisBottom`, and `scaleOrdinal` with `schemeSet2`. The update pattern follows Nick Lima’s approach for handling selections and transitions in SVG.

90% match

New-1

A scatterplot displays GDP variation after World War II for the USA and Germany, with GDP in percent on the y-axis and year on the x-axis, sourced from IMF data. The visualization uses d3.scaleOrdinal with schemeSet2 for color encoding and d3.scaleLinear axes with grid lines. Interactive color legend elements filter points by country, adjusting opacity based on selection. d3.csv loads the dataset, while d3.axisBottom and d3.axisLeft render tick marks.

New-4

This visualization compares GDP variation (in percent) between the USA and Germany after World War II, using data from the IMF. The d3.v5 scatterplot displays GDP on the y-axis and year on the x-axis, with a clickable color legend to highlight either country. It employs scaleOrdinal and scaleLinear for scales, axisLeft and axisBottom for axes, and SVG circles for data points. The legend uses d3 event handlers to toggle country selection, adjusting circle opacity accordingly.

New-3

This scatterplot visualizes the percentage change in GDP for the US and Germany after World War II, with GDP on the y-axis and year on the x-axis. The visualization uses D3 v5 with an SVG rendering, employing a categorical color scale to distinguish countries. Clickable legend items filter the data points, dimming unselected countries. Data is loaded from a CSV via the IMF website, and axes are created using `d3.axisLeft` and `d3.axisBottom`.

New-2

This visualization displays the change in GDP (in percent) over time for the United States and Germany after World War II, using data from the IMF. A scatterplot with SVG circles, colored by country, shows yearly values, while a clickable color legend filters the data. The code uses d3.csv for loading, d3.scaleLinear and d3.scaleOrdinal for scaling, and d3.axisBottom and d3.axisLeft for axes. An interactive legend reduces opacity of non-selected countries.

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.

88% match

New-6

This interactive scatterplot compares GDP variation in the United States and Germany after World War II, with the y-axis showing GDP as a percentage and the x-axis showing the year. Users click a color legend to highlight one country while dimming the other. The visualization uses d3.scaleOrdinal for colors, d3.scaleLinear for axes, and d3.axisBottom/axisLeft for tick marks. SVG circles represent individual observations, with data sourced from the IMF website and loaded via d3.csv.