Generated from prompt:

Create a professional, technical presentation visualizing the process described in the provided input. Title: 'STEP 1 – File Upload & Profiling'. Slide 1 should visually depict the following: 1️⃣ STEP 1.1 – File Upload & Reading - Show user uploading files via Streamlit UI. - Function: read_any_from_upload() reads each file. - Supported formats: CSV (pd.read_csv, latin-1 fallback), XLSX (pd.read_excel), Parquet (pd.read_parquet). - Output: df_by_name = {“filename.csv”: DataFrame, ...} 2️⃣ STEP 1.2 – File Profiling (node_profile_files) - Functions: build_file_metadata() + _column_stats() - Output: metadata_by_file = { filename.csv: { file_name, n_rows, n_cols, columns, column_stats, sample_data, extension } } Include a sub-box showing: ⚙️ Numerical Column Identification - Method: dtype check - Rule: dtype contains 'int' or 'float' → Numerical - LLM: Not involved Use a clear data pipeline flow diagram (arrows connecting steps), professional typography, icons for data files, functions, and outputs. Color scheme: shades of blue and gray with data-tech aesthetic.