World Development Economic Indicators

World Gross Domestic Product (GDP) data is contained within this file, tracking economic output by country spanning nearly six decades, from 1960 through 2017. This collection provides the monetary measurement of the market value for all final goods and services produced within a specific period. The structure of the file has been deliberately left untidy to offer users an opportunity to practice data cleaning and manipulation skills. The data is suitable for assessing national economies within the international market context, particularly using nominal GDP measures, and understanding the significance of Purchasing Power Parity (PPP) when comparing living standards across nations.

The data structure consists of two columns containing information about countries and their corresponding economic development figures.

The dataset is available as a CSV file titled GDP.csv, with a file size of approximately 243.25 kB. It contains two columns and 266 unique records. All records are considered valid, with no missing or mismatched values detected. The file's structure is intentionally non-standard to facilitate data restructuring practice. The expected update frequency for this type of indicator is annually.

This data is ideal for practising advanced data cleaning and reshaping techniques, especially for users mastering tools like Python's pandas library. It supports macro-economic analysis by enabling the tracking of global economic trends over a significant historical period (1960–2017). Researchers can utilise it to perform comparative studies of national economies and market performance.

The geographic scope is worldwide, detailing GDP information for countries globally. The temporal scope ranges from 1960 up to the final recorded year of 2017. The focus of the content is exclusively on Gross Domestic Product metrics and related development indicators.

CC0: Public Domain

The resource is intended for students and data scientists seeking real-world, challenging data for skill practice in data preparation. Economists and financial analysts can use it for historical research into global financial performance and long-term national economic shifts.

Original Data Source: World Development Economic Indicators