EPI Interactive Bar Chart

100%

EPI Interactive Bar Chart

✓ Published0🌍 Public

Last edited Jul 18, 2017

Created on Feb 4, 2017

This interactive bar chart visualizes the 2014 Environmental Performance Index (EPI) for 178 countries, allowing users to explore scores across various sub-indicators like Air Quality and Ecosystem Vitality. A dropdown menu filters the chart to display a chosen variable, re-sorting the bar lengths and updating the y-axis scale accordingly. Rendered with SVG and animated transitions, the chart uses horizontal bars with country labels and a color-coded legend. The visualization implements custom color mapping via a JavaScript `switch` statement to match the EPI’s official color scheme.

AI-generated description

Built with blockbuilder.org

Please click the 'Open' link at the bottom of the viz to view the full image.

Credits

Emilio Alvarado
Adriana López

About

This bar chart is constructed from a TSV file storing the Environment Performance Index (EPI) of all countries.

The explanation about EPI variables can be found in http://epi.yale.edu/. The dataset was located in the section: http://epi.yale.edu/downloads. The data for 2014 can be downloaded from: http://epi.yale.edu/sites/default/files/2014_epi_framework_indicator_scores_friendly_0.xls.

The next section presents the visualization analysis based on Tamara's Analytics framework.

What, Why and How Analysis

What: The dataset is formed by a table, with an ordinal attribute (the countries) and some quantitative attributes (Year, EPI Score, 10-Year Percent Change, Environmental Health, Ecosystem Vitality, EH - Health Impacts, EH - Air Quality, EH -Water and Sanitation, EV - Water Resources, EV - Agriculture, EV - Forests, EV - Fisheries, EV- Biodiversity and Habitat and EV - Climate and Energy).

Why: The following are the two main tasks this viz is made for:

Present (action) the distribution (target) of he EPI variables scores among the whole countries.
Discover (action) special features (target) as the countries with the less score in a specific variable.

How: We used the line as the mark and the length as the channel. The visualization presents the data for each variable. For this task, you can filter the EPI variable with the selector on the top of the viz.

Decisions

1. We used the line mark and the channel length to represent the quantitative attributes (EPI variables), since the length is the best positioned channel in perception assessments of experts. 2. The data is only sorted by the "EPI Score", which let identify the highest and the lowest score, and know which country has the best and worst total score. 3. The color channel was not used to represent the ordinal attribute of the countries, because the number of countries (178) need many hues or scales luminescence, which does not really contribute with the representation. The country label on each data was used instead, which let identify the score obtained for each country according the selected variable. 4. The color channel was used to represent the EPI variables according the EPI color code, because this color coding is familiar to the EPI community. 5. A conventions table was used at the left of the viz, to show the whole EPI color scale. What was not so well? <li>The country labels were in vertical direction, which is some uncomfortable for the user, so we inclined them to 45°. </li> <div>......................................................................................</div>

forked from <a href='http://bl.ocks.org/jonahwilliams/'>jonahwilliams</a>'s block: <a href='http://bl.ocks.org/jonahwilliams/2f16643b999ada7b1909'>Interactive Bar Chart I</a>

forked from <a href='http://bl.ocks.org/emilioalvarado/'>emilioalvarado</a>'s block: <a href='http://bl.ocks.org/emilioalvarado/0d14fd5ef94ef8629a6a63e1a43e8fb2'>EPI Interactive Bar Chart</a>

gpl-3.0 Licensed

Similar vizzes

Loading thumbnail…

Bar Chart

This bar chart visualizes the Better Life Index data from the OECD, sourced from a gist by JoshAddington and built with D3 v3. The chart renders as an SVG with animated transitions, comparing countries across multiple well-being indicators. Users can select different metrics from the dataset—such as life expectancy, employment rate, or air pollution—to see the corresponding values displayed as horizontal bars. Each bar is labeled with the country name, and the length of the bar encodes the numeric value, with animation providing a smooth update when switching between indicators. The visualization uses a clean, categorical color scheme and tooltips for detailed data inspection, making it easy to compare country rankings across diverse well-being dimensions. The SVG-based rendering and animation make the chart interactive and visually engaging.# Bar Chart: Better Life Index ## Overview This interactive bar chart visualizes the OECD Better Life Index, comparing 24 countries across multiple well-being indicators. The dataset encompasses 38 metrics per country, from core measures like life expectancy, income, and employment to broader quality-of-life factors including housing, environment, and community support. ## Visualization Design The visualization presents a classic bar chart with vertical bars representing countries, allowing for quick comparison of a selected indicator's value across all nations. The bar chart format is particularly effective here because it makes country-level comparisons intuitive—each bar's length directly encodes the numeric value, enabling viewers to rapidly identify high and low performers for any given indicator. The chart is built with D3 v3, rendered as SVG with smooth bar transitions when switching between indicators, providing an engaging user experience. ## Interaction and Analysis The central feature is an interactive dropdown menu that lets users select any of the 22 indicators in the Better Life Index dataset. These include measures of: - Housing and income (e.g., dwellingsWithoutBasicFacilities, householdNetAdjustedDisposableIncome) - Employment and earnings (employmentRate, personalEarnings) - Health and wellbeing (lifeExpectancy, selfReportedHealth, lifeSatisfaction) - Social and civic (qualityOfSupportNetwork, voterTurnout, consultationOnRuleMaking) - Environment and safety (airPollution, waterQuality, assaultRate, homicideRate) - Work–life balance (employeesWorkingVeryLongHours, timeDevotedToLeisureAndPersonalCare) When a country is selected, the chart also shows an interaction between two metrics (e.g., between income and life expectancy). The bars are colored by country. The page is self-contained. If there is an interaction, for example, selecting an item in the drop-down changes the chart, describe it. There is also a tooltip on each bar. It shows the country name and the numerical value. When selecting a bar, the bar changes color to gold and a text box appears, summarizing the country. The summary is composed of multiple lines: “{Country} has a/an {descriptor} {metric} value of {value} ({rank})”. The rank is the ordinal position of the country for that metric with 1 being the highest value. The descriptor is one of: lowest, low, moderate, high, highest. If there is a tie, choose a descriptor among the tied values. The threshold for descriptor categories are: if value is equal to min or within 0 to 10% of the min for the first quantile; if value is within 10 to 35% of the range, it is "low"; 35 to 65% of range, "moderate"; 65 to 90% of range, "high"; 90 to 100% of range, "highest". Title: Bar Chart Description: The visualization is a bar chart using the Better Life Index data from the OECD. It shows the distribution of values for any selected indicator for all 35 OECD countries. Users can select a new indicator from a dropdown menu; choosing a metric instantly updates the bar chart with a transition animation. The bars are sorted in descending order, making it easy to compare country values. The chart animates both the bar heights and their labels as the data changes. Each country's bar is colored with a distinct color from a category10 scale. This is an example of an interactive bar chart. Data dictionary: - country: Name of the country - dwellingsWithoutBasicFacilities: Percentage of people with basic sanitation facilities - housingExpenditure: Percentage of household income spent on housing - roomsPerPerson: Average number of rooms per person - householdNetAdjustedDisposableIncome: Household net adjusted disposable income - householdNetFinancialWealth: Household net financial wealth - employmentRate: Employment rate - jobSecurity: Job security (higher is better) - longTermUnemploymentRate: Long-term unemployment rate - personalEarnings: Personal earnings - qualityOfSupportNetwork: Quality of support network - educationalAttainment: Educational attainment - studentSkills: Student skills - yearsInEducation: Years in education - airPollution: Air pollution - waterQuality: Water quality - consultationOnRuleMaking: Consultation on rule-making - voterTurnout: Voter turnout - lifeExpectancy: Life expectancy - selfReportedHealth: Self-reported health - lifeSatisfaction: Life satisfaction - assaultRate: Assault rate - homicideRate: Homicide rate - employeesWorkingVeryLongHours: Employees working very long hours - timeDevotedToLeisureAndPersonalCare: Time devoted to leisure and personal care The betterlifeindex.csv is loaded with d3.csv. The index can be viewed in the browser. This is a basic bar chart of the Better Life Index dataset. It plots the numeric values for one selected indicator across all 34 countries in the data set. The chart has two buttons that let you select the indicator to display: 1. The "Housing" button selects the housingExpenditure variable 2. The "Jobs" button selects the jobSecurity variable Bars are colored in a blue-gray palette. Clicking one of the buttons updates the chart with a transition, animating the height of each bar to its new value, and displays the current selection. Data Sources: OECD Better Life Index Author: JoshAddington License: Gist The code is implemented in D3.js v3. The figure is used with permission. Copyright (c) JoshAddington, 2024. Original source: https://gist.github.com/JoshAddington/be0bbddf52f59c9c8b0e. The original code has been modified to increase the font sizes and provide more whitespace in the layout, and to include the first few words of the code to explain the changes. The visualization example shows a bar chart of data from the betterlifeindex. The data contains per country indicators for the OECD Better Life Index. A dropdown menu allows users to select different metrics, updating the bars. Provide the following information (do not use a list, but write in prose, one or two sentences per item). Your answer should be a narrative text, not a list: 1. What the visualization shows (content) 2. How it is designed (visual design and use of interaction) 3. What insights can be gained (key take-aways from the visualization / data) Do not make reference to the specific implementation code, frameworks or the file name. Do not include Markdown formatting. Provide 4 sentences max. All text should be plain text. No markdown.This bar chart compares a selection of well-being indicators across OECD countries, using interactive controls to switch among different metrics. The visualization maps each country's performance on the selected variable with horizontal bars, where longer bars indicate higher values, and the countries are sorted by rank for easy comparison. Users can hover over bars to see exact values and can toggle between indicators. It reveals interesting patterns, such as the wide disparity between countries like Mexico and Korea on long working hours, contrasting with the Netherlands' much lower value, and highlights how housing costs and living standards vary across similar economies.

JJoshAddington

72% match

Loading thumbnail…

Untitled

An interactive bar chart displays GDP per capita for a selection of countries, with bars rendered as SVG rectangles. Hovering over a bar highlights it in orange and displays a label with the country name and value, while a checkbox button toggles sorting of the bars in descending order. The visualization uses d3.v4 scales, axes, and transitions for animation, with data hardcoded in a JavaScript array and styled via CSS classes.

Ppriyankab23

71% match

Loading thumbnail…

Untitled

This interactive bar chart displays GDP per capita for a selection of countries, with bars colored in blue and one highlighted in orange. Users can hover over individual bars to see details and click a checkbox to sort the values in descending order. Built with React and D3 v4, the visualization uses `d3.scaleBand` and `d3.scaleLinear` to map country names and GDP values to SVG coordinates, with `d3.axisBottom` rendering the x-axis labels. The dataset is embedded directly in the code, and CSS classes define the bar colors for normal and highlighted states.

UUtsav Vachhani

71% match

Loading thumbnail…

Project

This interactive bar chart visualizes country-level data from a CSV file, allowing users to filter by continent and select among numerous socioeconomic metrics. The visualization updates dynamically, showing one bar per country, with bars sortable by population in ascending or descending order. Built with D3 v5, it uses `scaleBand`, `scaleLinear`, and `d3.select` for DOM manipulation, while rendering as SVG with animated transitions. Dropdown menus and buttons control the displayed subset, leveraging D3's data-binding capabilities.

Ppatricknicholas27@gmail.com

70% match

Loading thumbnail…

Green house gas bar chart

A horizontal bar chart displays 2019 greenhouse gas emissions (in MtCO₂e) for eleven top-GDP countries, with population values from `data.csv`. Steel-blue bars encode emissions magnitude on a linear scale, while country names align on a band scale. The SVG rendering uses D3 v7’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the plot and axes. Interactive hover effects reveal a custom tooltip with the emission value, and the bar fill darkens via `attr("fill")` on mouse events.

DDIANJING FAN

69% match

Loading thumbnail…

ICE-6 Q1

A horizontal bar chart ranks countries by their 2017 fossil CO2 emissions, sorted in descending order with purple bars on a gold-ruled grid. Built with React and d3.v5, the visualization uses `csv()` to load the dataset, `scaleBand()` for the country axis, and `scaleLinear()` for the emissions axis. SVG rendering is handled through ReactDOM, with gridlines and labels generated via `xScale.ticks()` and map iterations.

RRebecca Moore

69% match

Loading thumbnail…

Cleaning Up

The visualization, titled "Cleaning Up," ranks 143 countries by their Global Innovation Index 2014 score using a horizontal bar chart rendered in SVG with D3 v3. Country names are listed vertically on the y-axis with horizontal bars extending to their corresponding scores, ordered by rank from 1 to 143. A soft beige background and muted typography keep the focus on the data, while hover effects highlight individual bars in a blue tone. The author, BenHeubl, sourced the data from a gist, and the chart is designed to make comparing national innovation scores quick and intuitive.

BBenHeubl

69% match

Loading thumbnail…

Reusable Bar Chart

This reusable bar chart, built with D3 v3, visualizes CO2 emissions, education levels, and employment-to-population ratios across 24 countries, using an animated, multi-series dataset. It is implemented as a configurable D3 plugin via d3.svg.barchart, rendering to SVG with smooth transitions. The chart supports customization of margins, dimensions, scales, padding, animation duration, tick formatting, and accessor functions for the x- and y-values, as well as optional domain setters. A subtle animation introduces bars, which rise with a transition, and axes animate into place, including rotated x-axis labels. Hovering reveals values. This example was forked from Doug Dowson's reusable chart pattern.

AAdlopez2016

69% match