https://github.com/dataprofessor/population-dashboard

A dashboard web app template built in Python using Streamlit.
https://github.com/dataprofessor/population-dashboard

dashboard population python streamlit

Last synced: 2 days ago
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A dashboard web app template built in Python using Streamlit.

• Host: GitHub
• URL: https://github.com/dataprofessor/population-dashboard
• Owner: dataprofessor
• Created: 2023-11-03T04:40:40.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-09-12T15:47:42.000Z (5 months ago)
• Last Synced: 2025-01-20T07:04:19.246Z (9 days ago)
• Topics: dashboard, population, python, streamlit
• Language: Jupyter Notebook
• Homepage: https://population-dashboard.streamlit.app/
• Size: 355 KB
• Stars: 168
• Watchers: 4
• Forks: 218
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# 🏂 US Population Dashboard

A dashboard web app template built in Python using Streamlit.

## Demo App

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://population-dashboard.streamlit.app/)

## Colab notebook

[![Colab Notebook](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/dataprofessor/population-dashboard/blob/master/US_Population.ipynb)

## Prerequisite libraries

Here are the Python libraries used in the creation of this dashboard app

## Data source

US Population data spanning the duration of 2010-2019 was obtained from the [U.S. Census Bureau](https://www.census.gov/data/datasets/time-series/demo/popest/2010s-state-total.html).

## Reference

A talk entitled [_Crafting a Dashboard App in Python using Streamlit_](https://budapestbi.hu/2023/hu/program/speakers/chanin-nantasenamat/) showing how to build this app is given at the [Budapest BI Forum (Data Visualization track)](https://budapestbi.hu/2023/hu/en/program-data-visualization-track/) on November 22, 2023.