Multiple Line Chart of employment rate Final

emploment rate Line Chart Germany Final

This line chart displays Germany’s employment rate from 1990 to 2020, with the rate on the y-axis and the year on the x-axis. The visualization uses D3 v5’s `scaleTime`, `scaleLinear`, `axisLeft`, `axisBottom`, and `line` with `curveBasis` to render the smoothed trend, while SVG paths and CSS style the thick black stroke and blue axis labels. Data is loaded via `d3.csv` from a self-generated GitHub-hosted CSV file, and the chart is titled “Germany Emploment rate Line Chart” using the Share Tech font.

CChawin Sungwalngern

82% match

emploment rate Line Chart Germany

This line chart visualizes Germany’s employment rate over time, using a smooth curved line to connect annual data points. The chart includes labeled axes for year and employment rate, with a title displayed in the upper-left corner. The code uses D3 v5 functions such as `csv`, `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` with `curveBasis`, rendering the visualization as SVG. Data is loaded from a GitHub-hosted CSV file, and the chart applies a custom Share Tech font for all text elements.

CChawin Sungwalngern

81% match

Multiple Line Chart of employmentrate

This visualization shows employment rate ratios over time for multiple cities, with each city represented as a colored line. The chart uses d3.line with a curveBasis smoothing function, d3.scaleTime and d3.scaleLinear for the x and y axes, and d3.scaleOrdinal with schemeCategory10 for color mapping. Data is loaded from a CSV file using d3.csv, nested by city with d3.nest, and rendered as SVG paths. A custom colorLegend function displays the city names, while gridlines and axis labels are generated using d3.axisLeft and d3.axisBottom.

CChawin Sungwalngern

79% match

Almost Final-1

This visualization plots GDP variation over time for the USA and Germany, with each country represented by a colored circle. Users can click legend items to highlight a specific country while dimming others. The chart uses D3 v5 with `scaleLinear`, `axisBottom`, and `axisLeft` to render the scatterplot and a custom `colorLegend` that supports interactive selection. Data is loaded asynchronously via `d3.csv` from an external file, and the visualization renders to SVG.

Ssaisathyapriya097@gmail.com

line chart

This line chart visualizes unemployment rates across multiple countries, with each country plotted on the x-axis and its corresponding rate on the y-axis. The chart is rendered on a canvas using Chart.js, which fetches CSV data from a GitHub gist and parses it into labels and numeric values. The code creates a line dataset with a teal border color, includes a legend at the top, and displays axis titles for countries and unemployment rate. The visualization updates responsively based on the canvas dimensions.

Almost Final-9

This scatterplot displays GDP variation over time for the USA and Germany, with a categorical color scale assigning each country a distinct color. An interactive legend allows users to click a country name to highlight its data points while fading the other nation's points, filtering the visualization. The chart is rendered with D3 v5 and SVG, using the `d3.scaleLinear` and `d3.scaleOrdinal` APIs for axes and color, while the legend and scatterplot are built from custom modular functions. 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.

Almost Final-11

This visualization displays GDP variation over time for the USA and Germany, with each country represented by a distinct color from a categorical scale. Users can click on the color legend to highlight a specific country’s data points while dimming others. Built with D3 v5, the chart uses `scaleLinear`, `axisLeft`, `axisBottom`, and `scaleOrdinal` APIs to render an SVG scatterplot with interactive filtering, loading CSV data from a remote URL.