A R function to deal with datasets with a double header

Exercise Module 5

A scatterplot shows the correlation between regional unemployment rates and the percentage of people reporting difficulty making ends meet across Spanish regions in 2014. Each circle represents a region, with the national average highlighted in darker gray. The visualization loads data from a CSV using `d3.csv`, sorts regions by unemployment rate, and animates circle radii from zero to five pixels via `transition.attr`. Axes are rendered with `d3.svg.axis`, and hover tooltips are added using SVG `title` elements. Data comes from the Spanish Statistical Office (INE).

66% match

Exercise Module 3

This visualization displays unemployment rates across Spanish regions in 2014, with a horizontally sorted bar chart ordering regions from highest to lowest rate. The chart uses D3 v3’s `d3.scale.linear` for the x-axis and `d3.scale.ordinal` with `rangeRoundBands` for the y-axis, rendering SVG rectangles. Hovering reveals tooltips via `append("title")`, while the total Spain value appears darker. Data comes from the Spanish Statistical Office (INE), and the axes use `d3.svg.axis`.

65% match

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

Bar Chart, Framed

This visualization shows unemployment rates in Spain from 2005 to 2015, breaking down data by autonomous community and province. Two views are available: a bar chart displaying the unemployment rate for 2015 and an area chart depicting the total number of long-term unemployed over time. The bar chart sorts regions by rate and uses interactive hover effects to highlight values. The visualization uses the D3.js library for rendering and animation, with data processed from raw INE microdata via R using the dplyr and tidyr packages.

CContrastat

Exercise Module 3

A horizontal bar chart displays the 2014 unemployment rate for each Spanish region, sorted from highest to lowest with grey bars sized proportionally to the rate. The visualization highlights that southern regions have higher unemployment while northern ones are lower, with hover tooltips revealing exact percentages. The code uses d3.csv to load region data and d3.selectAll with data joins to append SVG rect elements, scaling bar widths by multiplying the rate by eight.

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.

63% match

Line Chart with Multiple Lines

This visualization shows the evolution of unemployment rates across Spanish regions from 2007 to 2014, highlighting the national total in a darker stroke and individual regions as hoverable lines. It combines an SVG line chart with a static map image, using d3.csv to load regional data, d3.time.scale and d3.svg.line for the axes and paths, and CSS `:hover` interactions to emphasize selected lines. Data comes from Spain’s Economically Active Population Survey (INE).