ycc3041 / data-visualization

Data-Visualization

This repository contains the implementation of several data visualization skills using different Python libraries.

Prerequisites

• python 3.6
• matplotlib 2.2.2
• plotly 1.12.9
• seaborn 0.9.0
• bokeh 0.13.0
• networkx 1.11

Project 1: Basic Visualization Techniques with Car Dataset

Code Here

|| Bar chart

|| Line chart

|| Scatter plot

|| Scatter plot matrix

Project 2: Visualization with Interaction with Countries Dataset

|| Bubble chart

Code Here

|| Bubble chart with widgets

Users can choose each x,y ,radius and color

Code Here

|| Bubble chart matrix with brushing

The local selection of some data points in a visualization triggers the selection of the same data points in another visualization

Code Here

|| Bubble chart matrix with hover

The hover over points trigger the display of all the attributes associated with a given data point

Code Here

Project 3: Networks Visualization with 1997 US Airlines Dataset

|| Networks graph

Each node represents an airport and each edge represents a route

Code Here

|| Geospatial networks visualization

Each airport is mapped on real-world map based on their latitude and longitude

Code Here

|| Networks with slider bars

Slider bars allow filtering different weights of nodes or edges to be shown

Code Here

Instructions

For most of the python scripts, you can simply run the below command in the directory to show the visualization, except those using bokeh

python file_name.py

For those scripts using bokeh, run the below command instead to show the visualization

bokeh serve --show file_name.py