Skip to main content
SimilarExport ZIP
100%

2023 Global Country Development & Prosperity Index Dataset

✓ Published0🌍 Public
Sste.jendritz@gmail.com
Last edited Sep 12, 2024
Created on Sep 7, 2024

This example visualizes the 2023 Legatum Prosperity Index dataset, mapping geographical distributions of average prosperity and personal freedom scores while exploring correlations between variables like education, health, and living conditions. The code loads CSV data and converts string values to numbers for analysis. It displays the first data entry as a formatted JSON preview using a template literal, providing an initial glimpse into the dataset structure. The implementation uses plain JavaScript DOM manipulation to render the output, with data sourced from a Kaggle-hosted CSV file.

AI-generated description

2023 Global Country Development & Prosperity Index, loaded and parsed as CSV.

This dataset contains detailed rankings and indicators from the 2023 Legatum Prosperity Index, assessing and ranking countries based on various dimensions of prosperity and development. Legatum Prosperity Index available at prosperity.com/rankings.

  • I want to understand the geographical distribution of the average prosperity score.
  • I want to understand the geographic distibution of the personal freedom score.
  • I want to see correlation between presonal freedom and average prosperity score.
  • I want to see correlation between education and personal freedom.
  • I want to see correlation between health and living conditions.
MIT Licensed

Similar vizzes

Loading thumbnail…

2023 Global Country Development & Prosperity Index

This example is a static data table showing the first entry of the 2023 Legatum Prosperity Index, sourced from Kaggle. It displays all thirteen quantitative attributes—such as SafetySecurity, PersonalFreedom, Governance, and SocialCapital—for Denmark, rendered as a JSON object. The visualization uses JavaScript and the `data.csv` import to parse and display the data. The code converts all string values to numbers and outputs the structured data in a `<pre>` container with a fixed font size, allowing users to inspect the dataset's exact format and values.

Ppbruss@bu.edu
85% match
Loading thumbnail…

Fork of Pseudo-Visualization

This scatter-bubble plot visualizes the 2023 Global Country Development & Prosperity Index by comparing Personal Freedom and Social Capital scores for each country. Marks represent countries as points, with x/y positions encoding social capital and personal freedom, while circle radius encodes overall average score and color uniquely identifies countries. The visualization uses D3 scales (scaleLinear and scaleOrdinal) for positioning and aesthetics, with data loading from the Kaggle dataset. Axes labels and title are rendered using utility functions from the @curran/axis-labels module.

Ppbruss@bu.edu
73% match
Loading thumbnail…

Simple Scatter Plot (Global Prosperity Index)

This scatter plot visualizes the relationship between Social Capital and Personal Freedom scores for countries in the 2023 Global Country Development & Prosperity Index. Each circle represents a country, positioned by its Social Capital score on the x-axis and Personal Freedom score on the y-axis, with the chart's background shaded gray to highlight the data points. The visualization uses D3's `scaleLinear`, `extent`, `axisLeft`, and `xAxis`/`yAxis` functions to map the data and render axes, while the `viz` function draws circles with radius and opacity set from the code.

Ppbruss@bu.edu
73% match
Loading thumbnail…

Pseudo-Visualization

This D3 scatter-bubble plot visualizes the 2023 Global Country Development & Prosperity Index dataset, comparing Personal Freedom and Social Capital scores for a sample of five countries. Each circle’s x-axis position encodes social capital, y-axis position encodes personal freedom, while the radius (scaled via `scaleLinear`) represents overall average score and color assigns each country a unique category from `schemeCategory10`. The visualization uses `d3.select`, `scaleOrdinal`, and custom modules for axes and circle rendering, with fixed domains from 0 to 100 for both axes.

Ppbruss@bu.edu
71% match
Loading thumbnail…

Cost of Living Index by Country

This example displays the first row of a CSV dataset on the cost of living index by country for 2024. It lists key metrics such as the cost of living index, rent index, and local purchasing power index, alongside the country's rank and name. The visualization uses JavaScript to import the data and render it as a JSON string within an HTML `<pre>` element, setting the font size dynamically. The code parses the numeric string values into numbers before displaying them. The dataset originates from a publicly available Kaggle source.

Yyaredmtaye@gmail.com
68% match
Loading thumbnail…

Global Data

This example displays a single country’s complete record from a global dataset as a formatted JSON object. It uses D3.js and a custom CSV parser to load and convert numeric fields, then renders the first data entry in a `<pre>` block. The visualization provides a direct, code-level view of the dataset structure, showing all variables like GDP, fertility, and CO2 emissions for a given nation.

Nnitinramagiri1@gmail.com
66% match
Loading thumbnail…

2019 Index of Economic Freedom

This example displays summary statistics for the 2019 Index of Economic Freedom dataset, showing file size in kilobytes, row count, and column count. The code loads a CSV file from a GitHub gist using `d3.csv` and formats the parsed data with `d3.csvFormat` to calculate the size. It then updates the text content of an HTML `<pre>` element to present the metrics. The example demonstrates basic data loading and parsing with D3 v5, with commented alternatives using `fetch`, `async/await`, and `d3.csvParse`.

Hhotdoujiang
66% match
Loading thumbnail…

Cost of Living Index by Country 2024 Dataset

The data page displays the first row of the Cost of Living Index by Country 2024 dataset as a formatted JSON object. It loads the CSV file and converts each numerical column to a number type. The view presents the structured data at a large font size, providing a clear, raw preview of a single country's index values. The example uses JavaScript's `JSON.stringify` method to render the data.

Sste.jendritz@gmail.com
65% match