.. _use-cases: Example Use Cases ================= FedFred powers **economic dashboards**, **async data pipelines**, **regional economic analysis**, and **financial research** using the **FREDĀ® API**. Explore how you can integrate FedFred into your projects: --- Economic Dashboard Development ------------------------------- .. dropdown:: See Example :color: secondary :open: Build real-time economic dashboards by combining: - **Pandas** or **Polars** for fast data wrangling, - **Matplotlib**, **Seaborn**, or **Plotly** for visualizations, - **Dash**, **Streamlit**, or **Gradio** for deployment. Example applications: - Track GDP, CPI, Unemployment rates dynamically, - Visualize yield curve spreads, - Build sectoral dashboards (housing, labor, inflation). See visualization examples in :ref:`data-visualization`. --- Asynchronous Data Pipelines ---------------------------- .. dropdown:: See Example :color: secondary Use :class:`fedfred.clients.FredAPI.AsyncAPI` to fetch **hundreds or thousands of series concurrently** with Python's :mod:`asyncio`. Ideal for: - High-throughput ETL pipelines, - Automated economic indicator collectors, - Research workflows for bulk data collection. Features like **built-in caching** and **resilient retrying** ensure reliability. See async examples in :ref:`advanced-usage`. --- Regional Economic Analysis --------------------------- .. dropdown:: See Example :color: secondary Analyze geographic economic data via: - :class:`fedfred.clients.FredAPI.MapsAPI` (sync), - :class:`fedfred.clients.FredAPI.AsyncAPI.AsyncMapsAPI` (async). Applications: - Map unemployment rates, housing prices, GDP by state, - Monitor regional economic performance, - Conduct spatial econometrics with :mod:`geopandas` or :mod:`pysal`. Output: native :term:`GeoDataFrame` ready for GIS analysis. See mapping examples in :ref:`data-visualization`. --- Financial Research and Backtesting ----------------------------------- .. dropdown:: See Example :color: secondary Use FedFred for **real-time historical data research**: - Fetch available **vintage dates**, - Retrieve series observations for specific vintages, - Analyze preliminary vs final release values. Example applications: - Build macroeconomic forecasting models using only real-time available data (no lookahead bias), - Create economic surprise indices for trading strategies. --- Related Resources ----------------- .. grid:: :gutter: 2 .. grid-item-card:: Full API Documentation :link: api-index :link-type: ref :link-alt: FedFred Full API Reference Browse all FedFred API methods, client classes, and structured data models. .. grid-item-card:: Quick Start Guide :link: quickstart :link-type: ref :link-alt: FedFred Quick Start Install, initialize, and start fetching FRED data in minutes. .. grid-item-card:: Parameter Handling Notes :link: api-notes :link-type: ref :link-alt: FedFred Parameter Handling Understand how FedFred automatically handles dates, lists, and type conversions. .. grid-item-card:: Visualization Examples :link: data-visualization :link-type: ref :link-alt: FedFred Visualization Guide Build charts, dashboards, and geographic maps from FRED datasets.