Data Automation & Cleaning
Beginner
Query SQLite Database & Export Clean Reporting CSVs for Power BI / Tableau in Python
Execute complex SQL queries on SQLite databases and export clean reporting datasets for Power BI and Tableau dashboards in Python Pandas.
#pandas#sqlite3
Problem Statement
Business intelligence dashboards need clean, pre-aggregated relational SQL outputs rather than raw multi-gigabyte transactional tables.
Formula / Core Logic
Executes pd.read_sql(query, conn) and exports optimized CSVs for BI ingestion.
Installation
pip install pandas
sqlite-database-to-power-bi-tableau-csv-export-python.py
import sqlite3
import pandas as pd
.def export_sqlite_to_bi(db_path, query, out_csv='bi_report.csv'):
conn = sqlite3.connect(db_path)
df = pd.read_sql(query, conn)
conn.close()
df.to_csv(out_csv, index=False)
return f'Exported {len(df)} rows to {out_csv}'
Get the Complete 100+ Python Quant & Automation Bundle
Instant lifetime access to all production-ready scripts, valuation models, and trading bots ($19).
Buy Full Bundle on Gumroad ($19) →Frequently Asked Questions
Q: Can this script connect to PostgreSQL or MySQL instead of SQLite?
Yes, by swapping `sqlite3` connection for `sqlalchemy` or `psycopg2`.