Getting Comfortable with using Python and Streamlit to Build Beautiful and Interactive Web Apps
KEY CONCEPTS:
Build interactive web applications with Streamlit and Python
Use Pandas for data manipulation in data science workflows
PROJECT PURPOSE:
Used Python and Streamlit to build a beautiful and interactive web app. Loaded, explored, visualized and interacted with data, and generated dashboards in less than 100 lines of Python code!
PROJECT OUTLINE:
Task 1: Project Overview and Demo
Task 2: Turn Simple Python Scripts into Web Apps
Task 3: Load the Motor Vehicle Collisions Data
Task 4: Visualize Data on a Map
Task 5: Filtering Data and Interactive Tables
Task. 6: Plot Filtered Data on a 3D Interactive Map
Task 7: 3D Interactive Map (continued)
Task 8: Charts and Histograms
Task 9: Select Data Using Dropdowns
PROJECT SCREENSHOTS:
HELPFUL LINKS:
