What's included

• Data summary report.

  A concise overview of the dataset, including its size, types of variables, and a general description of the data.

• Descriptive statistics.

  Key summary statistics like mean, median, mode, standard deviation, and other relevant metrics for numerical variables.

• Data Visualizations.

  Plots and charts to visually represent the data distribution and patterns.

• Data cleaning recommendations.

  Identify and address any missing values, outliers, or potential errors in the dataset. Provide recommendations for data cleaning and preprocessing.

• Correlation analysis and outlier detection

  Explore relationships between variables through correlation matrices and visualizations to highlight potential patterns. Identification and analysis of outliers that may impact the overall analysis and decision-making.

• Data insights and recommendations.

  Summarize key findings, insights, and actionable recommendations based on the EDA, helping the client make informed decisions.