What's included

• Data cleaning report

  A comprehensive report detailing the initial state of the data, including the types and frequencies of missing values, outliers, and potential errors.

• Cleaned dataset

  Provide the client with a thoroughly cleaned and preprocessed dataset, ready for analysis, with missing values imputed, outliers addressed, and standardized formats.

• Missing data analysis

  A detailed analysis of missing data patterns, along with strategies employed for imputation, such as mean, median, or advanced imputation techniques.

• Outlier detection and handling

  Identification and treatment of outliers through appropriate methods, ensuring data integrity and preventing their impact on analysis.

• Data standardization and transformation

  Standardize units, formats, and scales of variables, and apply necessary transformations for normalization.

• Duplicate removal

  Identification and removal of duplicate records or entries to ensure data accuracy and consistency.

• Documentation of cleaning process

  A detailed document outlining the steps taken in the data cleaning process, including methodologies, decisions made, and any assumptions considered.