Skip to main content
100%

dc.js unemploymed example

✓ Published0🌍 Public
Aalex-rind
Last edited Nov 30, 2017
Created on Nov 30, 2017

This dc.js example visualizes European unemployment rates from 2011 to 2016, broken down by country, gender, and age group. It uses four coordinated charts: a pie chart showing the gender distribution, and three bar charts displaying unemployment by year, age, and country. The data is loaded from a CSV file using d3.csv, processed with crossfilter, and aggregated with reductio to sum unemployment values. All charts are linked, so clicking on a slice or bar in any chart filters the data across all visualizations, allowing interactive exploration of the unemployment dataset.

AI-generated description

This is a blank dc.js bl.ock template - please fork this bl.ock when asking for help on Stack Overflow or the dc.js user group, or to demonstrate bugs when filing an issue on GitHub.

This was created with blockbuilder.org - you can use blockbuilder to fork and edit this bl.ock interactively. Or you can edit your fork using gist.github.com, or even clone the gist as a git repository.

See this block for a complete example, with data: <a href='http://bl.ocks.org/gordonwoodhull/ecce8e32d64c662cffd5'>dc.js example</a>

forked from <a href='http://bl.ocks.org/gordonwoodhull/'>gordonwoodhull</a>'s block: <a href='http://bl.ocks.org/gordonwoodhull/9ab997c9a8d7d3380364'>dc.js example</a>

forked from <a href='http://bl.ocks.org/anonymous/'>anonymous</a>'s block: <a href='http://bl.ocks.org/anonymous/d5266b0233754aabe5b48ba335368552'>dc.js unemploymed example</a>

mit Licensed

Similar vizzes

Loading thumbnail…

dc.js unemployment example

This interactive dashboard uses dc.js to explore European unemployment rates from 2011 to 2016, based on a CSV dataset. It combines four linked charts: a pie chart showing unemployment distribution by gender, and three bar charts visualizing unemployment sums by year, age group, and country. All charts are crossfiltered, so clicking or brushing on one chart filters the others. The visualization uses D3.js v5 with dc.js and crossfilter to enable dynamic exploration of the data, which contains unemployment values for multiple countries, both sexes, and age groups over time.

Aalex-rind
95% match
Loading thumbnail…

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.

Ssaisathyapriya097@gmail.com
75% match
Loading thumbnail…

Unemployment rate by Country Scatter Plot (UN Stats), using D3.js

This scatter plot displays the unemployment rate for countries in 2019, with each point positioned by unemployment percentage on the x-axis and country name on the y-axis. The visualization uses D3.js to load the CSV data, filter for the relevant year and series, and render the chart as an SVG. It applies `scaleLinear` and `scalePoint` for axes, and `axisBottom` and `axisLeft` to generate tick marks, with filtered data sorted by value before plotting.

AAdamFrankWhite
73% match
Loading thumbnail…

Regional breakdowns by month (CartoDB + D3)

This visualization displays monthly unemployment data for multiple regions as a grid of small pie charts, with each slice colored by its unemployment value and the region name centered beneath. It uses CartoDB’s SQL API to fetch monthly values from a table named `unemploy_annual`, then renders each region as an SVG donut via D3’s `d3.svg.arc` and `d3.layout.pie`. A linear color scale maps unemployment rates from 0 to 0.25 to a purple-to-red gradient, and a legend shows the scale. Hovering a slice changes its stroke to its fill color, with a tooltip revealing the month and value.

Aandrewxhill
73% match
Loading thumbnail…

dc.js example

This example demonstrates dc.js charts for exploring the Titanic dataset. It loads the passenger data from a tab-separated values file and uses crossfilter to create dimensions for gender and age group. Two charts are rendered: a pie chart showing the distribution of passengers by gender and a bar chart displaying the distribution by age group, both using reduceSum to count passengers. The visualization is built with d3.js, crossfilter2, and dc.js, and can be used as a template for creating coordinated views with dc.js.

Aalex-rind
73% match
Loading thumbnail…

Scatter Plot

This scatter plot shows the relationship between employment-to-population and unemployment-to-population ratios across European countries for different age groups, using data from a CSV file. The visualization filters the data to display only the "Total" age group, with each circle representing a country. Circles are colored with pink strokes for women and blue strokes for men, and hovering over a circle highlights it in gray while displaying the country name as a tooltip. The x-axis maps the employed population ratio, the y-axis maps the unemployed population ratio, and axis labels clarify the variables. The plot uses fixed scales for both axes and is rendered as an SVG with D3 v4.

Aalex-rind
73% match
Loading thumbnail…

Regional breakdowns by month (CartoDB + D3)

A grid of small pie charts displays regional unemployment data for each month, with one chart per region. Each pie is divided into equal slices for all twelve months, and the fill color of each slice encodes the monthly unemployment rate using a linear color scale. The visualization is built with D3 v3 for SVG rendering and pie layout, while CartoDB’s SQL API fetches the regional monthly values. A legend maps the color scale to numeric unemployment rates.

Aandrewxhill
73% match
Loading thumbnail…

abc

This visualization shows the UK unemployment rate from 1971 to 2025 as a line chart, with a hover tooltip displaying the year and exact rate for each data point. The chart uses D3.js v7's `scaleLinear`, `line`, and `axisBottom`/`axisLeft` to render the line and axes within a React component. The data comes from a CSV file containing annual, quarterly, and monthly unemployment figures, and the visualization filters the data to include only annual entries. The code implements interactive hover detection using transparent circles, making the tooltip and highlight circle appear when the cursor is near a data point.

Wwuc280@haw-hamburg.de
73% match