feat(examples): add startup funding dashboard with funding round and industry insights.

examples/startup_funding_tracker/README.md

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+# 🚀 Startup Funding Tracker with Preswald
+
+This interactive dashboard visualizes startup funding data, offering insights into funding distribution across industries, funding rounds, and years.
+
+## 🔧 Setup Instructions
+
+1. **Add your data**  
+   Place the `funding.csv` file inside the `data/` directory.
+
+2. **Configure the data source**  
+   Open the `preswald.toml` file and set the data source to point to your CSV.
+
+3. **Run the dashboard**  
+   Use the following command to start the app:
+   ```bash
+   preswald run hello.py

examples/startup_funding_tracker/data/funding.csv

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+startup,round,amount_million,industry,year
+Notion,Series B,50,Productivity,2019
+Figma,Series C,100,Design,2020
+Zapier,Series A,20,Automation,2016
+Miro,Series D,250,Collaboration,2022
+OpenAI,Series A,1000,AI,2023
+Stripe,Series E,600,Fintech,2021
+Linear,Seed,5,Developer Tools,2020
+Runway,Series A,35,AI,2021
+Replit,Series B,80,Developer Tools,2022
+Anthropic,Series B,450,AI,2023
+ClickUp,Series C,200,Productivity,2021
+Vercel,Series B,150,Developer Tools,2022
+Airtable,Series D,270,Collaboration,2020
+Cohere,Series A,125,AI,2022
+Plaid,Series C,425,Fintech,2019
+Loom,Series B,60,Collaboration,2019
+Coda,Series C,110,Productivity,2021
+Runpod,Seed,2,Infrastructure,2023
+Hugging Face,Series C,235,AI,2022
+Segment,Series B,64,Data Tools,2017

examples/startup_funding_tracker/hello.py

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+import pandas as pd
+import plotly.express as px
+
+from preswald import get_df, plotly, table, text
+
+
+# Title & Intro
+text("# 🚀 Startup Funding Tracker")
+text("Visualize startup funding trends across industries and years.")
+
+# Load data
+df = get_df("startup_data")
+
+# Show sample data
+table(df)
+
+# 📊 Summary statistics
+df["amount_million"] = pd.to_numeric(df["amount_million"], errors="coerce")
+total_funding = df["amount_million"].sum()
+unique_startups = df["startup"].nunique()
+years = f"{df['year'].min()} - {df['year'].max()}"
+
+text(f"**Total Funding:** ${total_funding:,.2f}M")
+text(f"**Unique Startups:** {unique_startups}")
+text(f"**Years Covered:** {years}")
+
+# 💼 Funding Amount by Industry
+text("## 💼 Funding Amount by Industry")
+df_industry = df.groupby("industry", as_index=False)["amount_million"].sum()
+fig1 = px.bar(
+    df_industry,
+    x="industry",
+    y="amount_million",
+    color="industry",
+    title="Total Funding by Industry",
+    labels={"amount_million": "Funding (in $M)"},
+    color_discrete_sequence=px.colors.qualitative.Safe,
+)
+fig1.update_layout(template="plotly_white", title_x=0.5)
+fig1.update_yaxes(tickprefix="$", separatethousands=True)
+plotly(fig1)
+
+# 📈 Funding Trends Over Time
+text("## 📈 Funding Trends Over Time")
+df_trend = df.groupby(["year", "industry"], as_index=False)["amount_million"].sum()
+fig2 = px.line(
+    df_trend,
+    x="year",
+    y="amount_million",
+    color="industry",
+    markers=True,
+    title="Annual Funding by Industry",
+    labels={"amount_million": "Funding (in $M)"},
+    color_discrete_sequence=px.colors.qualitative.Safe,
+)
+fig2.update_layout(template="plotly_white", title_x=0.5)
+fig2.update_yaxes(tickprefix="$", separatethousands=True)
+plotly(fig2)
+
+# 🌀 Funding Round Distribution
+text("## 🌀 Funding Rounds Distribution")
+fig3 = px.pie(
+    df,
+    names="round",
+    values="amount_million",
+    title="Distribution of Funding Rounds",
+    color_discrete_sequence=px.colors.qualitative.Safe,
+)
+fig3.update_traces(textinfo="percent+label")
+plotly(fig3)

examples/startup_funding_tracker/preswald.toml

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+[project]
+title = "Startup Funding Tracker"
+version = "0.1.0"
+port = 8501
+slug = "startup-funding"
+entrypoint = "hello.py"
+
+[branding]
+name = "Startup Funding Tracker"
+logo = "images/logo.png"
+favicon = "images/favicon.ico"
+primaryColor = "#4CAF50"
+
+[data.startup_data]
+type = "csv"
+path = "data/funding.csv"
+
+[logging]
+level = "INFO"
+format = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"

examples/startup_funding_tracker/pyproject.toml

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+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "startup-tracker"
+version = "0.1.0"
+description = "A Preswald dashboard for startup funding insights"
+requires-python = ">=3.8"
+dependencies = [
+    "preswald==0.1.33",
+    "duckdb==1.1.3"
+]
+
+[tool.black]
+line-length = 88
+target-version = ['py38']
+
+[tool.isort]
+profile = "black"
+multi_line_output = 3
+
+[tool.hatch.build.targets.wheel]
+packages = ["."]