Global Currency Systems — Exploratory Data Analysis (163 Currencies)

By abhishek.verma75000 · May 16, 2026

An end-to-end exploratory analysis was conducted on 163 global currencies to understand structural patterns in currency codes, naming conventions, symbol…

The most common starting letter for currency codes is 'B', with 17 currencies beginning with that letter. A bar chart has been generated showing the full distribution of starting letters across all currency codes.

Out of 163 total currencies in the dataset, 93 currencies have completely unique symbols that are not shared with any other currency. The remaining 70 currencies share their symbols with at least one other currency. A bar chart has been generated showing the breakdown between currencies with unique vs. shared symbols.

A total of 38 currencies contain 'Dollar', 'Franc', or 'Peso' in their names. The breakdown shows Dollar is the most common with 20 currencies, while Franc and Peso are tied at 9 currencies each. A bar chart has been generated to visually compare these three keyword groups.

The analysis identified currencies with the longest and shortest names in the dataset. The longest currency name has 24 characters. A bar chart and supporting tables were generated showing the top 10 longest and top 10 shortest currency names side by side for easy comparison.

The analysis shows how currencies are distributed based on the number of characters in their symbols. A bar chart has been generated showing the count of currencies for each symbol length, with color intensity indicating frequency. The chart makes it easy to see which symbol lengths are most common across the dataset.

There are 14 currency symbols that are shared across multiple currencies, collectively covering 70 currency entries in the dataset. The bar chart shows which symbols appear most frequently across different currencies, making it easy to spot the most commonly reused symbols. Several data tables were also generated with detailed breakdowns of which currency codes and names share each symbol.

The analysis examined word frequencies across all currency names in the dataset, filtering out common stop words. A data table was generated showing the top 10 most common words used in currency naming conventions, along with their frequencies and percentage contributions.

The analysis examined 163 currency codes distributed across all 26 letters of the alphabet. A bar chart has been generated showing the count of currency codes starting with each letter, and a data table provides the exact counts and percentages. The letter 'B' is the most common starting letter with 17 currency codes (10.43% of all currencies), while 'O' is the least common with just 1 currency code (0.61%).

The analysis successfully categorized all currencies by their symbol character types and produced a pie chart visualization along with a data table. The currencies were grouped into four categories: Latin/ASCII only (e.g., USD, EUR), Non-Latin/Unicode only (e.g., symbols like ¥, ₹), Mixed Latin & Non-Latin, and Numeric/Special characters. The pie chart clearly illustrates the distribution of these encoding patterns across global currencies.

The currency dataset is remarkably clean! Out of 163 currency records, only 2 anomalies were detected across all four checks. The single issue found involves two entries for the Belarusian ruble — 'BYN' (current) and 'BYR' (old) — which share highly similar names. All other checks passed perfectly: every currency code is exactly 3 characters long, no symbols are missing or empty, no names are exact duplicates, and all codes follow the standard ISO 4217 uppercase pattern. A bar chart summarizing the anomaly counts by category has been generated for a visual overview.