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Explore two captivating data visualizations created using Plotly and GeoPandas. The first project showcases a Spline Radar Plot using fuel efficiency data, while the second project features a Choropleth Map illustrating student demographics in Canada. Dive into the Jupyter Notebooks to understand the visualization techniques and feel free to custom

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syedissambukhari/spline-radar-fuel-efficiency-and-choropleth-students-canada-visualization-with-plotly-geopandas

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spline-radar-fuel-efficiency-and-choropleth-students-canada-visualization-with-plotly-geopandas

Data Visualization with Plotly and GeoPandas

This repository contains two data visualization projects using Plotly and GeoPandas:

Project 1: Spline Radar Plot with Fuel Efficiency Data

Re-create the radar plot using Plotly and the fuel-efficiency.csv data set. The radar plot uses a smooth curve to join the points, called a spline.

Instructions

  1. Clone the repository.
  2. Navigate to the spline-radar-fuel-efficiency directory.
  3. Open the fuel_efficiency_plot.ipynb Jupyter Notebook to view and run the visualization.
  4. Explore the code to understand the spline radar plot creation.
  5. Optionally, modify the code or dataset as needed.

Project 2: Choropleth Map with Students Data in Canada

Re-create the choropleth map using GeoPandas and the students.csv data set. The map of Canada is given in the canada.shp file and associated files. The color map uses the “Reds” color map from ColorBrewer.

Instructions

  1. Navigate to the choropleth-students-canada directory.
  2. Open the choropleth_map.ipynb Jupyter Notebook to view and run the visualization.
  3. Explore the code to understand the choropleth map creation.
  4. Optionally, modify the code or dataset as needed.

Getting Started

Prerequisites

  • Python 3.x
  • Jupyter Notebook

Installation

# Clone the repository:

git clone https://github.com/syedissambukhari/spline-radar-fuel-efficiency-and-choropleth-students-canada-visualization-with-plotly-geopandas.git

Install the required dependencies:

pip install -r requirements.txt

About

Explore two captivating data visualizations created using Plotly and GeoPandas. The first project showcases a Spline Radar Plot using fuel efficiency data, while the second project features a Choropleth Map illustrating student demographics in Canada. Dive into the Jupyter Notebooks to understand the visualization techniques and feel free to custom

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