init: US Labor Market — Unemployment + LFP — full SEO mesh + Author profiles + cross-links

README.md

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 ---
-title: Calcfi Labor Market
-emoji: 🔥
-colorFrom: red
-colorTo: gray
+title: US Labor Market — Unemployment + LFP
+emoji: 👥
+colorFrom: blue
+colorTo: purple
 sdk: gradio
-sdk_version: 6.14.0
-python_version: '3.13'
+sdk_version: 4.44.0
 app_file: app.py
-pinned: false
+pinned: true
 license: cc-by-4.0
+short_description: BLS unemployment + labor-force participation, monthly
+datasets:
+  - iizy/calcfi-open-data
+tags:
+  - finance
+  - labor
+  - unemployment
+  - bls
+  - macro
+  - calcfi-open-data
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# US Labor Market — Unemployment + LFP
+
+[![Dataset DOI](https://img.shields.io/badge/Dataset%20DOI-10.6084%2Fm9.figshare.32332290-blue)](https://doi.org/10.6084/m9.figshare.32332290)
+[![Zenodo DOI](https://img.shields.io/badge/Zenodo-10.5281%2Fzenodo.20302283-1682D4)](https://doi.org/10.5281/zenodo.20302283)
+[![OSF DOI](https://img.shields.io/badge/OSF-10.17605%2FOSF.IO%2FPUMKT-2C6BAC)](https://doi.org/10.17605/OSF.IO/PUMKT)
+[![License CC BY 4.0](https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey)](https://creativecommons.org/licenses/by/4.0/)
+
+Unemployment · Labor Force Participation, loaded live from the [CalcFi Open Data](https://huggingface.co/datasets/iizy/calcfi-open-data) dataset (CC BY 4.0, primary sources only).
+
+## What this Space shows
+
+Unemployment alone hides structural changes in who counts as 'looking for work.' Pairing it with labor-force participation reveals when low unemployment is real strength versus people dropping out of the workforce.
+
+## Why these series matter
+
+- **Unemployment rate** (percent) — Source: BLS via FRED UNRATE
+- **Labor force participation** (percent) — Source: BLS via FRED CIVPART
+
+## Methodology
+
+All series are pulled live from the CalcFi Open Data dataset on Hugging Face. CSVs carry primary-source provenance in their comment headers (`# Source:`, `# Primary URL:`, `# Retrieved:`). Pandas reads them with `comment="#"`. No smoothing, no imputation, no proprietary adjustments.
+
+Full methodology: <https://calcfi-open-data-4a2bc1.gitlab.io/methodology.html>
+
+## Data source
+
+- Live dataset: [iizy/calcfi-open-data](https://huggingface.co/datasets/iizy/calcfi-open-data)
+- Permanent DOIs: [Figshare 10.6084/m9.figshare.32332290](https://doi.org/10.6084/m9.figshare.32332290) · [Zenodo 10.5281/zenodo.20302283](https://doi.org/10.5281/zenodo.20302283) · [OSF 10.17605/OSF.IO/PUMKT](https://doi.org/10.17605/OSF.IO/PUMKT) · [Kaggle 10.34740/kaggle/dsv/16356447](https://doi.org/10.34740/kaggle/dsv/16356447) · [Mendeley 10.17632/jsnwhy6vjn.1](https://doi.org/10.17632/jsnwhy6vjn.1)
+- Mirrors: [GitHub](https://github.com/jerehere/calcfi-open-data) · [GitLab](https://gitlab.com/jere.salmisto/calcfi-open-data) · [Docs site](https://calcfi-open-data-4a2bc1.gitlab.io/)
+
+## Related work
+
+**Other HF Spaces in this set (10 total):**
+- [calcfi-mortgage-rate-explorer](https://huggingface.co/spaces/iizy/calcfi-mortgage-rate-explorer) — 30Y + 15Y mortgage + 10Y Treasury
+- [calcfi-inflation-wage-tracker](https://huggingface.co/spaces/iizy/calcfi-inflation-wage-tracker) — CPI + PCE + hourly earnings
+- [calcfi-yield-curve-spread](https://huggingface.co/spaces/iizy/calcfi-yield-curve-spread) — Fed Funds + 2Y + 10Y, inversion shading
+- [calcfi-fed-funds-cycle](https://huggingface.co/spaces/iizy/calcfi-fed-funds-cycle) — Fed Funds + Prime + credit-card APR
+- [calcfi-oil-gas-tracker](https://huggingface.co/spaces/iizy/calcfi-oil-gas-tracker) — WTI + Brent + US gasoline
+- [calcfi-fx-history](https://huggingface.co/spaces/iizy/calcfi-fx-history) — USD/EUR · USD/GBP · USD/JPY exchange-rate history
+- [calcfi-commodity-inflation](https://huggingface.co/spaces/iizy/calcfi-commodity-inflation) — Copper · corn · vs CPI
+- [calcfi-gdp-per-capita](https://huggingface.co/spaces/iizy/calcfi-gdp-per-capita) — US · Eurozone GDP per capita
+- [calcfi-consumer-credit](https://huggingface.co/spaces/iizy/calcfi-consumer-credit) — Credit-card APR · personal-loan rate
+
+**Long-form Observable notebooks built on the same dataset:**
+- [Mortgage Spread Over Treasury (50 years)](https://observablehq.com/@iizy/mortgage-spread-over-treasury-50-years)
+- [Yield Curve Recession Indicator (2s/10s)](https://observablehq.com/@iizy/yield-curve-recession-indicator-2s-10s)
+- [Inflation vs Fed Target (2% History)](https://observablehq.com/@iizy/inflation-vs-fed-target-2-percent-history)
+
+**CodePen calculator demos (vanilla JS, MIT)** — [view all 6 in collection](https://codepen.io/collection/BawbdB):
+- [Compound Interest Calculator](https://codepen.io/Jere-S/pen/LEbyJQe)
+- [Mortgage Amortization Chart](https://codepen.io/Jere-S/pen/zxowJaw)
+- [Inflation-Adjusted Returns](https://codepen.io/Jere-S/pen/pvNPOZg)
+- [30Y Mortgage Rate History (FRED Data)](https://codepen.io/Jere-S/pen/emBWLLg)
+- [Retirement Corpus Projection](https://codepen.io/Jere-S/pen/ByQROqg)
+- [CPI vs Wages Tracker](https://codepen.io/Jere-S/pen/qEqmMQo)
+
+**Static dataset documentation:** [calcfi-open-data-4a2bc1.gitlab.io](https://calcfi-open-data-4a2bc1.gitlab.io/)
+
+**Author profiles (Person entity graph):**
+- [ORCID 0009-0000-0916-8684](https://orcid.org/0009-0000-0916-8684)
+- [Academia.edu — Jere K Salmisto](https://independent.academia.edu/JereS6)
+- [GitLab — jere.salmisto](https://gitlab.com/jere.salmisto)
+- [CodePen — Jere-S](https://codepen.io/Jere-S)
+- [Hugging Face — iizy](https://huggingface.co/iizy)
+
+**Live tools at [calcfi.app](https://calcfi.app):** 300+ free personal-finance calculators built on the same primary-source data layer (FRED, BLS, Freddie Mac, US Treasury).
+
+## Citation
+
+> Salmisto, J. (2026). *CalcFi Open Data: 34 Free CC-BY Financial and Macro Time Series Mirrored from Primary Sources* [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.32332290
+
+ORCID: [0009-0000-0916-8684](https://orcid.org/0009-0000-0916-8684)
+
+## License
+
+App code: MIT. Underlying data: CC BY 4.0 — attribution to [CalcFi](https://calcfi.app/developers) and the named primary source.

app.py

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+# US Labor Market — Unemployment + LFP — Gradio Space
+# Loads live from CalcFi Open Data (CC BY 4.0)
+import io
+import pandas as pd
+import requests
+import gradio as gr
+
+HF_BASE = "https://huggingface.co/datasets/iizy/calcfi-open-data/resolve/main/datasets"
+
+SERIES = {
+    "Unemployment rate": "unemployment-rate",
+    "Labor force participation": "labor-force-participation",
+}
+
+def load(slug: str) -> pd.DataFrame:
+    url = f"{HF_BASE}/{slug}/data.csv"
+    r = requests.get(url, timeout=30)
+    r.raise_for_status()
+    df = pd.read_csv(io.StringIO(r.text), comment="#")
+    df["date"] = pd.to_datetime(df["date"], errors="coerce")
+    df = df.dropna(subset=["date", "value"])
+    df["value"] = pd.to_numeric(df["value"], errors="coerce")
+    return df.dropna(subset=["value"])
+
+def chart(start_year: int, selected_labels):
+    frames = []
+    for label in selected_labels:
+        slug = SERIES.get(label)
+        if not slug:
+            continue
+        df = load(slug)
+        df = df[df["date"].dt.year >= start_year].copy()
+        df["series"] = label
+        frames.append(df[["date", "value", "series"]])
+    if not frames:
+        return pd.DataFrame(columns=["date", "value", "series"])
+    return pd.concat(frames, ignore_index=True)
+
+with gr.Blocks(title="US Labor Market — Unemployment + LFP", theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# US Labor Market — Unemployment + LFP\n\nUnemployment · Labor Force Participation, loaded live from [CalcFi Open Data](https://huggingface.co/datasets/iizy/calcfi-open-data) (CC BY 4.0).")
+    with gr.Row():
+        start = gr.Slider(minimum=1971, maximum=2024, value=1990, step=1, label="Start year")
+        picks = gr.CheckboxGroup(choices=list(SERIES.keys()), value=list(SERIES.keys()), label="Series")
+    plot = gr.LinePlot(x="date", y="value", color="series", overlay_point=False, height=420, tooltip=["date", "value", "series"])
+    inputs = [start, picks]
+    start.change(chart, inputs=inputs, outputs=plot)
+    picks.change(chart, inputs=inputs, outputs=plot)
+    demo.load(chart, inputs=inputs, outputs=plot)
+    gr.Markdown(
+        "**Sources:** BLS via FRED UNRATE · BLS via FRED CIVPART\n\n"
+        "**Methodology:** <https://calcfi-open-data-4a2bc1.gitlab.io/methodology.html>\n\n"
+        "**Citation:** Salmisto, J. (2026). CalcFi Open Data. Figshare. https://doi.org/10.6084/m9.figshare.32332290\n\n"
+        "**Free calculator suite:** [calcfi.app](https://calcfi.app)"
+    )
+
+demo.launch()

requirements.txt

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+gradio>=4.44.0
+pandas>=2.0.0
+requests>=2.31.0