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Data wrangling
Data wrangling, also known as data munging, is the process of cleaning, transforming, and organizing raw data into a format suitable for analysis. This process involves steps such as data collection, cleaning, transformation, integration, enrichment, and validation to ensure data accuracy and consistency. Data wrangling is essential for data analysts and scientists who require reliable and well-structured data for insightful analysis.
Data wrangling was discovered on July 2nd 2019 and it currently has a search volume of 27.1K with a growth of -31%.
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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