Build POWERFUL Interactive Map Dashboards in Python From Scratch!
Explore Cameroon Regions Like Never Before With Interactive Python Dashboards! Using Python Libraries like Pandas, Plotly, Folium, Panel.
Join me on an interactive journey as we delve into the fascinating regions of Cameroon like never before! In this video, we'll explore the power of Python dashboards in visualizing and analyzing data about Cameroon's regions. From the mountains of the Northwest to the coastal plains of the Southwest, we'll use interactive dashboards to uncover hidden patterns, trends, and insights about this incredible country.
Whether you're a data enthusiast, a geography buff, or simply curious about Cameroon, this video is for you! So, buckle up and get ready to explore Cameroon like a pro!
0:00 Introduction
Interactive Dashboards to visualize towns, statistics.
Using libraries like Pandas, Folium, Plotly and Panel
0:40 Quick Demo
Dashboard (created with Panel) with multiple rows and columns.
A multiselect dropdown to filter data and bar chart (created from Plotly)
and an interactive map with markers and tooltips created from folium
1:15 Project breakdown
Phase 1: Data Preparation with Pandas Library (Load and Clean Data)
Phase 2: Data Visualizations with Plotly and Folium
Phase 3: Dashboard Creation with Panel (Combine everything)
1:40 The Code
Import pandas, folium, plotly.express and panel
Code each of the 3 steps: Data preparation, visualization and dashboard creation.
4:00 Final Dashboard Deployment
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