Data Analysis and Insights
The dataset has been successfully loaded and contains 112 columns. Here are the first few rows of the dataset:
Next Steps
- Data Cleaning: Identify and handle missing values, incorrect data types, and outliers.
- Exploratory Data Analysis (EDA): Generate summary statistics and visualizations to understand the distribution and relationships in the data.
- Feature Engineering: Create new features that might be useful for analysis or modeling.
- Modeling: Build and evaluate predictive models if needed.
Would you like to proceed with data cleaning or any specific analysis?