What's included

• Data Exploration Report

  A detailed analysis of the dataset, including: Overview of the data (columns, types, summary statistics) Data cleaning steps (handling missing values, removing duplicates) Data exploration insights (key trends, patterns, outliers) Visualizations (charts, graphs) to help understand the data

• Cleaned and Processed Dataset

  The raw data, transformed into a clean, structured format ready for analysis: Removal of duplicates, outliers, and irrelevant data. Handling missing values (imputation or removal). Standardizing and normalizing data where necessary. Any derived features or calculated columns for analysis.

• Visualizations and Dashboards

  Interactive or static visualizations that communicate insights from the data: Charts (e.g., bar charts, histograms, scatter plots, box plots). Heatmaps, time series plots, etc. Interactive dashboards (using tools like Tableau, Power BI, or Dash by Plotly) for easier consumption of data insights.