Service

Data Cleaning and Exploratory Data Analysis

Raw data often comes with problems like duplicates, missing values, outliers, or inconsistent formatting. This service covers checking data structure, handling missing values, removing duplicates and outliers, and validating consistency across columns. Once the data is clean, exploration is done using descriptive statistics and visualization to uncover early patterns, trends, and anomalies. The output is an analysis ready dataset along with an insight summary that can be used directly for decision making or as a foundation for modeling.

Deliverables

• ✓Cleaned, analysis ready dataset
• ✓Data cleaning process report
• ✓Complete EDA notebook with visualizations
• ✓Summary of insights and initial findings
• ✓Recommendations for further analysis or modeling