Using SheetBuddy

SheetBuddy simplifies dataset analysis with an intuitive API.

🔹 1️⃣ Load a Dataset SheetBuddy supports CSV, JSON, Excel, and API data sources.

from sheetbuddy import SheetBuddy

# Load a CSV file
sb = SheetBuddy("data.csv")

# Display summary statistics
print(sb.get_summary_statistics())

🔹 2️⃣ Detect Outliers Easily identify outliers in your dataset.

outliers = sb.detect_outliers()
print(outliers)

🔹 3️⃣ Generate an EDA Report Export an Excel report with data insights and visualizations.

sb.generate_eda_report(output_file="eda_report.xlsx")

Next Steps 🎯

• Learn more in the Installation and FAQ sections.

🚀 Start analyzing your data with SheetBuddy today!