Preparing Data for Analysis
Data analysis is a complex process that plays a critical role in the success of any scientific study. This scrollable interactive explores key steps in preparing a large dataset for analysis, including data cleaning, wrangling, and imputation.
Topics
- data cleaning
- data wrangling
- imputation
- data preparation
- data filtering
- raw data
- data acquisition
- metadata
- dataset
- data structure
- spreadsheet view
- missing data
- missing values
- error correction
- removing duplicates
- constant value imputation
- mean value imputation
- linear interpolation
- multiple imputation
- encoding
- rescaling
- encode
- rescale
- data transformation
- data validation
- HadCRUT5
- HadCRU
- temperature data
- temperature anomaly