Community Showcase: Pokémon Data Analysis with Preswald

We're thrilled to feature Joel Rosen in this edition of the Preswald Community Showcase! 🎉 Joel has built an impressive Preswald app that analyzes and visualizes Pokémon data using interactive charts and tables.

🌟 Project Overview

📊 Preswald and Analytics

This blog explores how Preswald utilizes analytics to examine Pokémon stats, providing insights into battle performance, type distributions, and competitive strengths through dynamic visualizations.

Project Name: Pokémon Data Explorer
Built by: Joel Rosen
Dataset: Pokémon dataset

Check out the project on GitHub

📊 Description

Joel's project provides an interactive dashboard for exploring Pokémon data. The app allows users to:

• Filter Pokémon by type, base stats, and generation.
• Visualize trends using Plotly charts to analyze strengths and weaknesses.
• Compare Pokémon stats dynamically in an interactive table.
• Gain insights into competitive Pokémon strategies and battle effectiveness.

With Preswald, Joel has created a seamless user experience, where users can dynamically adjust inputs and get instant updates without writing frontend code.

---

🚀 Code Snippets

Here’s a sneak peek at how Joel's project is structured:

Loading the Data

from preswald import connect, get_df, text

connect()  # Establish connection to data

# Load Pokémon dataset
pokemon_df = get_df("pokemon_data")

Creating an Interactive Type Distribution Chart

from preswald import plotly
import plotly.express as px

fig = px.bar(pokemon_df, x='type', y='base_stat_total', color='type',
             title='Pokémon Type Distribution')
plotly(fig)

Displaying Pokémon Data in a Table

from preswald import table

table(pokemon_df[['name', 'type', 'base_stat_total', 'attack', 'defense']])

With just a few lines of Python, Joel has built a fully interactive data app powered by Preswald! 🚀

What is Preswald?

Preswald is an open-source framework for building data apps, dashboards, and internal tools with just Python. It provides pre-built UI components like tables, charts, and forms, so you don't have to write frontend code. Users can interact with your app, changing inputs, running queries, and updating visualizations, without you needing to manage the UI manually.

Preswald tracks state and dependencies, making computations efficient by updating only when necessary. It uses a workflow DAG to manage execution order, ensuring performance and predictability. Preswald allows you to turn Python scripts into shareable, production-ready applications easily.

Key Features

• Add UI components to Python scripts: user-interactive buttons, text inputs, tables, and charts.
• Stateful execution with automatic state tracking and updates.
• Structured computation using a DAG-based execution model.
• Deploy with a single command.
• Query and display live data from various sources.
• Build interactive reports and dashboards.
• Easy local or cloud hosting.
• Shareable via a simple link.

🚀 Getting Started

Installation

First, install Preswald via pip: https://pypi.org/project/preswald/

pip install preswald

👩‍💻 Quick Start

1. Initialize a New Project

To start using Preswald, initialize a new project:

preswald init my_project
cd my_project

This creates a folder my_project with essential files:

• hello.py: Your first Preswald app.
• preswald.toml: Settings for your app.
• secrets.toml: Secure sensitive information.
• .gitignore: Keep secrets.toml safe from version control.

2. Write Your First App

Open hello.py and write:

from preswald import text, plotly, connect, get_df, table
import pandas as pd
import plotly.express as px

text("# Welcome to Preswald!")
text("This is your first app. 🎉")

# Load CSV data
connect() # loads default sample CSV
df = get_df('sample_csv')

# Create a scatter plot
fig = px.scatter(df, x='quantity', y='value', text='item',
                 title='Quantity vs. Value')
fig.update_traces(textposition='top center')
fig.update_layout(template='plotly_white')

# Show plot and data
table(df)

3. Run Your App

Launch the app with:

preswald run

4. Deploy Your App to the Cloud

Deploy your app using:

preswald deploy --target structured

Your app will be built and accessible online.

---

Huge Thanks to Joel Rosen!

A big thank you to Joel Rosen for sharing their work and inspiring the Preswald community! Want to see more of their work? Check them out on GitHub | LinkedIn.

Want to Contribute?

Got a cool idea for a Preswald app? We'd love to see it! Get started here: https://github.com/StructuredLabs/preswald and get featured in our next Community Showcase.

Happy building! 🚀