This deliverable includes a comprehensive analysis of your dataset, ensuring it is cleaned, structured, and visually represented for better insights. The process involves removing duplicates, handling missing values, normalizing formats, and detecting outliers to enhance data quality.
Key Features:
Data Cleaning: Removing inconsistencies, filling missing values, and standardizing formats.
Exploratory Data Analysis (EDA): Identifying trends, correlations, and key patterns in the data.
Visualizations: Charts, graphs, and dashboards using Matplotlib, Seaborn, or Power BI/Tableau for intuitive insights.
Summary Report: Key findings, actionable insights, and recommendations for decision-making.