Final exercise, about youth unemployment.

Youth unemployment rate in selected european countries.

A multi-line chart displays the youth unemployment rate in selected European countries from 1991 to 2013. The SVG visualization uses D3.js (v3) with time and linear scales, along with D3's axis and line generators. Hovering over a grey line highlights it in black with increased thickness. Specific countries are pre-highlighted in distinct colors: the EU average in steelblue, Greece in green, Germany in indianred, Spain in purple, and the Netherlands in orange. Data is loaded from a CSV file.

PP3nny

84% match

Vvenkatabhaskaratetali@my.unt.edu

3rd visual

This interactive line chart visualizes unemployment rates over time for multiple countries between 1991 and 2021, using data loaded via `d3.csv` from a GitHub repository. Each country appears as a colored line, with dashed grid lines and rotated x-axis labels to improve readability. The visualization uses `d3.scalePoint`, `d3.scaleLinear`, and `d3.line` within an SVG, and includes a hover tooltip that displays country-specific values. The chart animates by redrawing paths dynamically, with colors assigned from `d3.schemeCategory10`.

76% match

Ssaisathyapriya097@gmail.com

Reusable D3 Scatter Plot

This reusable D3.js scatter plot visualizes youth unemployment data, animating between two axes every two seconds to compare the unemployment rate against the median age of unemployed youth. The chart is implemented as a configurable `scatterPlot` module using d3’s `scaleLinear`, `axisBottom`, `axisLeft`, and `extent` APIs, rendering SVG circles with a steelblue fill. Data is loaded asynchronously from a CSV via `d3.csv` and parsed with a custom row function. The animation cycles the x-axis value between two dataset columns, updating the plot through a `setInterval` timer.

76% match

Ssarikakannikanti@gmail.com

Assignment 2

This visualization displays unemployment rates for fifteen countries as an area chart, with a dark red point marker for each country. The chart uses the D3.js library (v7) to create a smooth monotone curve via `d3.area`, with points added using `d3.selectAll('circle').data().join('circle')`. The code employs `d3.scalePoint` and `d3.scaleLinear` for the axes, and a hover tooltip is implemented using D3's `.on('mouseover')` and `.on('mouseout')` methods, displaying the country name and rate in a styled div. The data is hardcoded in the script, and axis labels are rotated and positioned using D3’s text elements.

74% match

Exercise Module 3

This example shows the unemployment rate in 2014 for Spanish regions, ordered from highest to lowest, with bar lengths proportional to the rate and tooltips revealing the exact value per region. The chart uses d3.csv to load the data, d3.descending for sorting, and d3.select to append SVG rectangles with title elements for interactivity. The data is sourced from a CSV file containing regional unemployment statistics, and the visualization is rendered as a simple SVG bar chart.

Exercise Module 4

This graphic shows the 2014 unemployment rate for Spanish regions as a horizontal bar chart, with regions sorted from highest to lowest and the national average highlighted in a darker shade. It uses a linear scale for the value axis and an ordinal scale with range bands for the categorical region axis. The visualization is built with D3 v3, referencing the CSV data file for unemployment statistics, and uses SVG rendering with custom axes, hover tooltips, and a color scheme that emphasizes the national total.

Exercise Module 4

Line Chart with Multiple Lines

The visualization presents unemployment trends across Spanish regions from 2007 to 2014, with a supplementary bar chart detailing 2014 rates by region. It uses D3.js v3 to render SVG elements, including animated line paths that traverse the time series for each region, allowing hover highlighting to emphasize individual trends. The data is loaded from CSV files containing yearly unemployment percentages, with axes and scales built using d3.svg.axis and d3.time.scale.