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Colombian Politics and Currency Variance Data
Social Media and Posts
Tags and Keywords
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About
Historical records linking the social media activity of President Gustavo Petro with the financial performance of the Colombian peso (COP) against the US dollar (USD). The file aggregates data from 05 April 2022 to 26 October 2022, merging timestamped tweets from the account "@petrogustavo" with historical exchange rate values. To facilitate analysis of the relationship between political discourse and market volatility, the data includes 16 derived columns: a validation metric, intraday currency variation values, and 14 specific keyword indicators related to energy, taxation, and economic policy.
Columns
- id: Unique identifier for the tweet.
- screen_name: Tweeter Account Name (predominantly petrogustavo).
- created_at: Tweet creation date and time.
- Date: Day and Month of the record.
- fav: Number of likes the tweet received.
- rt: Number of times the tweet was Retweeted.
- text: Full text content included in the tweet.
- Validation: Count of specific keywords found within the tweet.
- tributaria: Keyword #1 indicator (Boolean).
- exploracion: Keyword #2 indicator (Boolean).
- explotacion: Keyword #3 indicator (Boolean).
- hidrocarburos: Keyword #4 indicator (Boolean).
- transicion: Keyword #5 indicator (Boolean).
- tributacion: Keyword #6 indicator (Boolean).
- petroleo: Keyword #7 indicator (Boolean).
- carbon: Keyword #8 indicator (Boolean).
- Ecopetrol: Keyword #9 indicator (Boolean).
- energia: Keyword #10 indicator (Boolean).
- electrica: Keyword #11 indicator (Boolean).
- impuestos: Keyword #12 indicator (Boolean).
- estados_unidos: Keyword #13 indicator (Boolean).
- dolares: Keyword #14 indicator (Boolean).
- price: Closing price of USD/COP.
- open: Opening price of USD/COP.
- high: Highest intraday price.
- low: Lowest intraday price.
- pcnt_var: Percentage of currency variation intraday.
- cop_var: Monetary value of currency variation in COP intraday.
Distribution
- Format: CSV.
- Size: 520.48 kB.
- Structure: 1,471 valid records across 28 columns.
Usage
- Analysing correlations between executive branch communication and foreign exchange (Forex) volatility.
- Training Natural Language Processing (NLP) models to detect economic sentiment in political texts.
- Developing financial models to predict USD/COP fluctuations based on social media triggers.
- Visualising the frequency of energy and tax-related terms during the 2022 transition period.
Coverage
- Geographic: Colombia (Financial Markets).
- Time Range: 05 April 2022 to 26 October 2022.
- Subject: Political communication and Currency Exchange Rates (USD/COP).
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: Evaluating risks associated with political messaging in emerging markets.
- Data Scientists: Building time-series forecasting models enriched with text data.
- Political Researchers: Studying the digital strategy and economic focus of the Petro administration.
- Journalists: Investigating the timing of specific policy announcements relative to market movements.
Dataset Name Suggestions
- Petro Tweets & USD/COP Exchange Rates 2022
- Colombian Politics and Currency Variance Data
- Gustavo Petro Social Media & Forex Impact
- USD/COP Historical Data with Political Sentiment
Attributes
Original Data Source: Colombian Politics and Currency Variance Data
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